CN118033896A

CN118033896A - Filter processing method, device, equipment and storage medium

Info

Publication number: CN118033896A
Application number: CN202211419185.0A
Authority: CN
Inventors: 孔祥健; 肖礼; 马顺飞; 陈宏刚; 张博; 罗勇; 马卫东
Original assignee: Accelink Technologies Co Ltd
Current assignee: Accelink Technologies Co Ltd
Priority date: 2022-11-14
Filing date: 2022-11-14
Publication date: 2024-05-14
Also published as: WO2024103659A1

Abstract

The disclosure provides a filter processing method, a filter processing device, a filter processing equipment and a storage medium. Wherein the method comprises the following steps: determining a first insertion loss interval in which an insertion loss value of a first filter to be spliced is located and a second insertion loss interval in which an insertion loss value of a second filter to be spliced is located; under the condition that a first insertion loss interval in which an insertion loss value of a first filter to be spliced is positioned and a second insertion loss interval in which an insertion loss value of a second filter to be spliced is positioned meet a preset matching relation, the first filter to be spliced and the second filter to be spliced are associated; the first filter to be spliced and the second filter to be spliced which are mutually related are used for splicing to obtain a target filter. In the method, the fluctuation of the insertion loss index of the target filter can be reduced, the consistency of the insertion loss index of the target filter is enhanced, and the performance of the target filter is better, and the qualification rate is higher.

Description

Filter processing method, device, equipment and storage medium

Technical Field

The disclosure relates to the technical field of communication, and in particular relates to a processing method, a device, equipment and a storage medium of a filter.

Background

The filter can effectively filter the frequency points of the specific frequency or the frequencies outside the frequency points in the signals to obtain a signal of the specific frequency or eliminate a signal of the specific frequency. For example, in the field of fiber optic communications, an optical filter may only allow light signals of a particular wavelength to pass through.

In order to improve the performance of the filter, different filters can be spliced, the spliced filter can inherit the advantages of the different filters at the same time, and the isolation of the spliced filter can be improved in a cascading splicing mode. However, because the index has certain fluctuation in the batch production of the filters, if the splicing pairing is not standardized, the fluctuation of the index of the filters obtained by splicing different filters can be further amplified after the filters are spliced, so that the problem that the index fluctuation of the filters obtained by splicing is larger and the index consistency is poor is caused, thereby influencing the qualification rate of the filters obtained by splicing, and being unfavorable for production.

Disclosure of Invention

In view of the foregoing, a main object of the present disclosure is to provide a method, an apparatus, a device and a storage medium for processing a filter, which can improve the performance and the qualification rate of a target filter obtained by splicing.

In order to achieve the above purpose, the technical scheme of the present disclosure is realized as follows:

in a first aspect, an embodiment of the present disclosure provides a method for processing a filter, including:

determining a first insertion loss interval in which an insertion loss value of a first filter to be spliced is located and a second insertion loss interval in which an insertion loss value of a second filter to be spliced is located;

under the condition that a first insertion loss interval in which an insertion loss value of the first filter to be spliced is positioned and a second insertion loss interval in which an insertion loss value of the second filter to be spliced is positioned meet a preset matching relation, the first filter to be spliced and the second filter to be spliced are associated;

the first filter to be spliced and the second filter to be spliced which are mutually related are used for splicing to obtain a target filter.

In some embodiments, the method further comprises:

Adding the upper limit value of a first insertion loss interval in which the insertion loss value of the first filter to be spliced is located and the upper limit value of a second insertion loss interval in which the insertion loss value of the second filter to be spliced is located, so as to obtain insertion loss sum values;

and under the condition that the insertion loss sum value is equal to the expected insertion loss value, determining that a first insertion loss interval in which the insertion loss value of the first filter to be spliced is positioned and a second insertion loss interval in which the insertion loss value of the second filter to be spliced is positioned meet the preset matching relation.

In some embodiments, the method further comprises:

Determining a target insertion loss value of the target filter based on the insertion loss value of the first filter to be spliced and the insertion loss value of the second filter to be spliced which are related to each other;

Determining an insertion loss consistency parameter of the target filter based on the target insertion loss value; the insertion loss consistency parameter is used for representing the stability of the target filter;

under the condition that the insertion loss consistency parameter is lower than a preset parameter threshold value, determining that the stability of the target filter meets a preset requirement;

Wherein the target filter includes at least two channels, and the target insertion loss value includes: and the central wavelength insertion loss value of the channel.

In some embodiments, the determining the target insertion loss value of the target filter based on the insertion loss value of the first filter to be spliced and the insertion loss value of the second filter to be spliced, which are related to each other, includes:

and determining the sum value of the insertion loss value of the first filter to be spliced and the insertion loss value of the second filter to be spliced, which are mutually related, as the target insertion loss value.

In some embodiments, the insertion loss consistency parameter comprises: inserting loss consistency parameters of adjacent channels; the determining the insertion loss consistency parameter of the target filter based on the target insertion loss value comprises the following steps:

performing difference processing on the central wavelength insertion loss values of any two adjacent channels in the target filter to obtain at least one adjacent channel insertion loss difference value, and determining the absolute value of each adjacent channel insertion loss difference value;

Sequencing all the absolute values to obtain sequencing results;

and determining the adjacent channel insertion loss consistency parameter from each absolute value based on the sequencing result.

In some embodiments, the insertion loss consistency parameter comprises: the channel insertion loss consistency parameter; the determining the insertion loss consistency parameter of the target filter based on the target insertion loss value comprises the following steps:

sequencing the central wavelength insertion loss values of all the channels in the target filter, and determining the insertion loss maximum value and the insertion loss minimum value in the central wavelength insertion loss values;

Performing difference processing on the maximum value of the insertion loss and the minimum value of the insertion loss to obtain an inter-channel insertion loss difference value;

And determining the channel insertion loss consistency parameter according to the channel insertion loss difference value.

In some embodiments, the method further comprises:

acquiring first index parameters of each first alternative filter and second index parameters of each second alternative filter;

Determining a first alternative filter with the first index parameter matched with a first target index parameter as the first filter to be spliced, and determining a second alternative filter with the second index parameter matched with a second target index parameter as the second filter to be spliced;

The first filter to be spliced and the second filter to be spliced are used for obtaining the target filter with target index parameters, and the target index parameters are determined by the first target index parameters and the second target index parameters.

In some embodiments, the first index parameter comprises: center wavelength, bandwidth, adjacent channel isolation; the determining the first candidate filter, which matches the first index parameter with the first target index parameter, as the first filter to be spliced includes:

Determining a wavelength difference between a center wavelength of the first alternative filter and a target center wavelength;

Determining a bandwidth difference between the bandwidth of the first alternative filter and a target bandwidth;

And under the condition that the absolute value of the wavelength difference value is smaller than a preset wavelength threshold value, the absolute value of the bandwidth difference value is smaller than a preset bandwidth threshold value and the adjacent channel isolation of the first alternative filter is larger than a preset adjacent channel isolation threshold value, determining that a first index parameter of the first alternative filter is matched with the first target index parameter, and determining the first alternative filter as the first filter to be spliced.

In some embodiments, the second index parameter comprises: non-adjacent channel isolation; the determining the second candidate filter, which matches the second index parameter with the second target index parameter, as the second filter to be spliced, includes:

Determining an isolation difference between the non-adjacent channel isolation of the second alternative filter and the target non-adjacent channel isolation;

and under the condition that the absolute value of the isolation difference value is smaller than a preset isolation threshold value, determining that a second index parameter of the second alternative filter is matched with the second target index parameter, and determining the second alternative filter as the second filter to be spliced.

In some embodiments, the first filter to be spliced comprises: the comb filter, the second filter to be spliced includes: a wavelength division multiplexer; the target filter is obtained by splicing one comb filter and two wavelength division multiplexers.

In a second aspect, an embodiment of the present disclosure provides a processing apparatus of a filter, including:

the first determining module is configured to determine a first insertion loss interval in which the insertion loss value of the first filter to be spliced is located and a second insertion loss interval in which the insertion loss value of the second filter to be spliced is located;

The association module is configured to associate the first filter to be spliced with the second filter to be spliced under the condition that a first insertion loss interval where the insertion loss value of the first filter to be spliced is located and a second insertion loss interval where the insertion loss value of the second filter to be spliced are located meet a preset matching relation;

In some embodiments, the apparatus further comprises:

The adding module is configured to add the upper limit value of the first insertion loss section where the insertion loss value of the first filter to be spliced is located and the upper limit value of the second insertion loss section where the insertion loss value of the second filter to be spliced is located, so as to obtain insertion loss sum values;

The second determining module is configured to determine that a first insertion loss section where the insertion loss value of the first filter to be spliced is located and a second insertion loss section where the insertion loss value of the second filter to be spliced is located meet the preset matching relationship under the condition that the insertion loss sum value is equal to the expected insertion loss value.

In some embodiments, the apparatus further comprises:

A third determining module configured to determine a target insertion loss value of the target filter based on the insertion loss value of the first filter to be spliced and the insertion loss value of the second filter to be spliced that are associated with each other;

A fourth determining module configured to determine an insertion loss consistency parameter of the target filter based on the target insertion loss value; the insertion loss consistency parameter is used for representing the stability of the target filter;

A fifth determining module, configured to determine that the stability of the target filter meets a preset requirement when the insertion loss consistency parameter is lower than a preset parameter threshold; wherein the target filter includes at least two channels, and the target insertion loss value includes: and the central wavelength insertion loss value of the channel.

In some embodiments, the third determination module is configured to:

In some embodiments, the insertion loss consistency parameter comprises: inserting loss consistency parameters of adjacent channels; the fourth determination module is configured to:

Sequencing all the absolute values to obtain sequencing results;

In some embodiments, the insertion loss consistency parameter comprises: the channel insertion loss consistency parameter; the fourth determination module is configured to:

In some embodiments, the apparatus further comprises:

The acquisition module is configured to acquire first index parameters of each first alternative filter and second index parameters of each second alternative filter;

A sixth determining module, configured to determine a first alternative filter, in which the first index parameter is matched with a first target index parameter, as the first filter to be spliced, and determine a second alternative filter, in which the second index parameter is matched with the second target index parameter, as the second filter to be spliced;

In some embodiments, the first index parameter comprises: center wavelength, bandwidth, adjacent channel isolation; the sixth determination module is configured to:

In some embodiments, the second index parameter comprises: non-adjacent channel isolation; the sixth determination module is configured to:

Here, the preset isolation threshold may be determined according to actual conditions.

In a third aspect, an embodiment of the present disclosure provides an electronic device, including a memory and a processor, where the memory stores a computer program executable on the processor, and where the processor implements the steps of any of the methods described in the first aspect.

In a fourth aspect, embodiments of the present disclosure provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of any of the methods of the first aspect described above.

In the disclosure, a first insertion loss interval in which an insertion loss value of a first filter to be spliced is located and a second insertion loss interval in which an insertion loss value of a second filter to be spliced is located may be determined; then, under the condition that a first insertion loss interval in which an insertion loss value of the first filter to be spliced is positioned and a second insertion loss interval in which an insertion loss value of the second filter to be spliced is positioned meet a preset matching relation, the first filter to be spliced and the second filter to be spliced are associated; the first filter to be spliced and the second filter to be spliced which are mutually related are used for splicing to obtain a target filter.

In the disclosure, the insertion loss values of the first filter to be spliced and the second filter to be spliced can be subjected to step management, the insertion loss values of the first filter to be spliced and the second filter to be spliced are brought into corresponding insertion loss intervals, and whether the first insertion loss interval where the insertion loss value of the first filter to be spliced is located and the second insertion loss interval where the insertion loss value of the second filter to be spliced is located meet a preset matching relation is determined. The first filter to be spliced and the second filter to be spliced, wherein the first filter to be spliced and the second filter to be spliced are in a preset matching relation, the insertion loss values of the first filter to be spliced and the second filter to be spliced, which are used for obtaining the target filter, can be limited in the corresponding intervals, the insertion loss values of the target filter are further limited in the set range, the fluctuation of the insertion loss index of the target filter is reduced, the consistency of the insertion loss index of the target filter is enhanced, the performance of the target filter is better, and the qualification rate is higher.

Drawings

FIG. 1 is a flowchart one of a method of processing a filter shown in accordance with an exemplary embodiment of the present disclosure;

FIG. 2 is a flow chart two of a method of processing a filter shown in accordance with an exemplary embodiment of the present disclosure;

FIG. 3 is a flowchart three of a method of processing a filter shown in accordance with an exemplary embodiment of the present disclosure;

Fig. 4 is a schematic diagram of a structure of a target filter according to an exemplary embodiment of the present disclosure;

fig. 5 is a schematic diagram ii of a structure of a target filter according to an exemplary embodiment of the present disclosure;

FIG. 6 is a flow chart four of a method of processing a filter shown in accordance with an exemplary embodiment of the present disclosure;

FIG. 7 is a schematic diagram illustrating center wavelength and center wavelength accuracy definition according to an exemplary embodiment of the present disclosure;

FIG. 8 is a schematic diagram of a bandwidth definition shown in accordance with an exemplary embodiment of the present disclosure;

FIG. 9 is a schematic diagram illustrating adjacent channel isolation definition according to an exemplary embodiment of the present disclosure;

FIG. 10 is a schematic diagram illustrating an in-channel loss unevenness definition according to an exemplary embodiment of the disclosure;

FIG. 11 is a schematic view of a transmission spectrum of a comb filter shown according to an exemplary embodiment of the present disclosure;

FIG. 12 is a schematic diagram of channel insertion loss values for comb filters, wavelength division multiplexers, and target filters, according to an exemplary embodiment of the present disclosure;

FIG. 13 is a schematic diagram of a transmission spectrum of a wavelength division multiplexer according to an exemplary embodiment of the present disclosure;

FIG. 14 is a partial schematic view of a transmission spectrum of a wavelength division multiplexer shown according to an exemplary embodiment of the present disclosure;

FIG. 15 is a schematic view of a transmission spectrum of a target filter shown according to an exemplary embodiment of the present disclosure;

FIG. 16 is a partial schematic view of a transmission spectrum of a target filter shown according to an exemplary embodiment of the present disclosure;

FIG. 17 is a schematic diagram of transmission spectra of a comb filter, wavelength division multiplexer, and target filter shown according to an exemplary embodiment of the present disclosure;

FIG. 18 is a partial schematic view of transmission spectra of a comb filter, wavelength division multiplexer, and target filter shown according to an exemplary embodiment of the present disclosure;

fig. 19 is a schematic structural view of a processing device of a filter shown according to an exemplary embodiment of the present disclosure;

Fig. 20 is a schematic structural view of an electronic device according to an exemplary embodiment of the present disclosure.

Detailed Description

For the purposes of making the objects, technical solutions and advantages of the embodiments of the present disclosure more apparent, the specific technical solutions of the present invention will be described in further detail below with reference to the accompanying drawings in the embodiments of the present disclosure. The following examples are illustrative of the present disclosure, but are not intended to limit the scope of the present disclosure.

It can be appreciated that in order to improve the performance of the filter, multiple filters may be spliced, and the spliced filter may inherit the advantages of the multiple filters at the same time.

For example, since data traffic continues to grow at a high speed, it is required to increase the communication capacity of the optical fiber communication system, and the filter in the related art cannot meet the requirement of wide bandwidth and high isolation at the same time, so that the difficulty of capacity expansion of the optical fiber communication system is great, in the embodiment of the present disclosure, the filter (for example, a comb filter) and the multiplexer (for example, a wavelength division multiplexer) may be spliced to obtain a wide bandwidth and high isolation filter, so that capacity expansion of the optical fiber system may be achieved.

Fig. 1 is a flowchart one of a method of processing a filter according to an exemplary embodiment of the present disclosure, as shown in fig. 1, the method including:

Step 110, determining a first insertion loss interval in which an insertion loss value of a first filter to be spliced is located and a second insertion loss interval in which an insertion loss value of a second filter to be spliced is located;

Step 120, associating the first filter to be spliced with the second filter to be spliced under the condition that a first insertion loss interval where the insertion loss value of the first filter to be spliced is located and a second insertion loss interval where the insertion loss value of the second filter to be spliced are located meet a preset matching relationship;

It should be noted that the processing method of the filter provided by the present disclosure may be applied to electronic devices, for example, electronic devices such as a terminal device and a server. Here, the terminal device may include: mobile terminals, fixed terminals, etc. Wherein, the mobile terminal may include: the mobile phone, the tablet computer, the notebook computer and other devices, the fixed terminal can include: desktop computers, and the like.

Here, the first filter to be spliced and the second filter to be spliced may be any randomly selected filter, or may be a filter screened out by a preset screening condition. For example, the first filter to be spliced may be a filter with a central wavelength selected to be close to the central wavelength of ITU (International Telecommunication Union, international telecommunications union), or a filter with a bandwidth greater than a specific bandwidth, and the second filter to be spliced may be a filter with a non-adjacent channel selected to have an isolation greater than a preset isolation. In some embodiments, the first filter to be spliced may be a comb filter and the second filter to be spliced may be a wavelength division multiplexer.

In some embodiments, the shape of the spectrum of the first filter to be spliced may be different from the shape of the spectrum of the second filter to be spliced.

For example, the width of the spectrum of the second filter to be spliced may be larger than the width of the spectrum of the first filter to be spliced, and the shape of the in-band spectrum of the second filter to be spliced may be flatter than the shape of the in-band spectrum of the first filter to be spliced.

The insertion loss value (i.e., insertion loss value) of the filter may be any of the maximum insertion loss, the peak insertion loss, and the center wavelength insertion loss of the filter within the effective bandwidth, and is not limited herein. The insertion loss value of the filter can represent attenuation caused by the introduction of the filter to the original signal. The insertion loss interval where the insertion loss value of the filter is located can represent the insertion loss value range where the insertion loss value of the filter is located. For example, if the insertion loss value of the first filter to be spliced is 0.3 decibel (dB), the first insertion loss interval where the insertion loss value of the first filter to be spliced is (0 dB,0.5 dB) and the insertion loss value of the second filter to be spliced is 5.2dB, and the second insertion loss interval where the insertion loss value of the second filter to be spliced is (5 dB,5.5 dB).

It can be understood that the first insertion loss interval where the insertion loss value of the first filter to be spliced is located and the second insertion loss interval where the insertion loss value of the second filter to be spliced is located satisfy a preset matching relationship, so that the insertion loss value of the target filter spliced by the first filter to be spliced and the second filter to be spliced can be characterized to conform to the expected insertion loss value.

In some embodiments, the association relationship between the index parameter of the first filter to be spliced, the index parameter of the second filter to be spliced and the index parameter of the target filter obtained by splicing can be obtained through theoretical analysis.

For example, according to the fact that the in-band spectrum of the second filter to be spliced is flatter than that of the first filter to be spliced, it can be determined that the shape of the in-band spectrum of the target filter obtained by splicing the first filter to be spliced and the second filter to be spliced is determined by the first filter, and then the center wavelength and the bandwidth of the target filter are determined by the first filter, the center wavelength of the target filter is similar to the center wavelength of the first filter, and the bandwidth of the target filter is similar to the bandwidth of the first filter.

Also for example, according to the frequency spectrum of the adjacent channel of the second filter to be spliced being flatter than the frequency spectrum of the adjacent channel of the first filter to be spliced, it may be determined that the adjacent channel isolation of the target filter is determined by the first filter, and since splicing the filters may reduce the frequency spectrum power of the adjacent channel and further improve the adjacent channel isolation, the adjacent channel isolation of the target filter may be greater than the adjacent channel isolation of the first filter.

Also for example, according to the shape of the spectrum of the non-adjacent channel of the first filter to be spliced being flatter than the shape of the spectrum of the non-adjacent channel of the second filter to be spliced, it may be determined that the non-adjacent channel isolation of the target filter is determined by the second filter to be spliced, and the non-adjacent channel isolation of the target filter is similar to the non-adjacent channel isolation of the second filter to be spliced.

For example, the insertion loss value of the target filter may be determined by theoretical analysis, and the insertion loss value of the first filter to be spliced and the insertion loss value of the second filter to be spliced may be determined together, so that an association relationship between the insertion loss value of the first filter to be spliced, the insertion loss value of the second filter to be spliced, and the insertion loss value of the spliced target filter may be determined. For example, the insertion loss value of the target filter may be a sum of the insertion loss value of the first filter to be spliced and the insertion loss value of the second filter to be spliced.

In this way, based on the obtained association relationship and the expected insertion loss value of the expected target filter, a first preset insertion loss interval corresponding to the first filter to be spliced and a second preset insertion loss interval corresponding to the second filter to be spliced, which satisfy the preset matching relationship, can be set.

If the insertion loss value of the first filter to be spliced is set to be a, the insertion loss value of the second filter to be spliced is set to be b, and the desired insertion loss value of the target filter is set to be c, c=a+b, and if the upper limit value of the interval where a is located (the first preset insertion loss interval) is set to be x, the upper limit value of the interval where b is located (the second preset insertion loss interval) is set to be c-x.

In some embodiments, the interval length of the first preset insertion loss interval may be determined by the insertion loss index distribution condition of the first filter to be spliced, and the interval length of the second preset insertion loss interval may be determined by the insertion loss index distribution condition of the second filter to be spliced. For example, the more concentrated the insertion loss index distribution, the smaller the interval length may be; the more scattered the insertion loss index distribution is, the greater the interval length can be.

In some embodiments, a plurality of first preset insertion loss intervals and a plurality of second preset insertion loss intervals may be preset, and each of the first preset insertion loss intervals and the second preset insertion loss intervals that are matched with each other, and a matching relationship between the first preset insertion loss intervals and the second preset insertion loss intervals may be recorded in an interval matching list.

Table 1 is a section matching list one shown according to an exemplary embodiment of the present disclosure. As shown in table 1, in some embodiments, a first column in the interval matching list may store each first preset insertion loss interval, a second column in the preset matching list may store each second preset insertion loss interval, and the first preset insertion loss interval and the second preset insertion loss interval located in the same row may have a matching relationship.

TABLE 1 interval match list one

First preset insertion loss section (unit: dB)	Second preset insertion loss section (unit: dB)
		(0，0.5)	(5，5.5)
(0.5，1)	(4.5，5)
		(1，1.5)	(4，4.5)

Here, table 1 shows a section matching list when the expected insertion loss value of the expected target filter is 6.5dB or less, and specifically, a section matching list when the expected insertion loss value is 6 dB.

As described above, assuming that the insertion loss value of the first filter to be spliced is a, the insertion loss value of the second filter to be spliced is b, and the insertion loss value of the target filter (i.e., the desired insertion loss value) is c, c=a+b, where if the upper limit value of the interval in which a is located is x, the upper limit value of the interval in which b is located is c-x. Therefore, in the case where c=6 dB, the upper limit value of the section in which a is located is 0.5dB, and the upper limit value of the section in which b is located is 5.5dB. At this time, if the section lengths of a and b are both 0.5dB, the section where a is located is (0 dB,0.5 dB), and the section where b is located is (5 dB,5.5 dB).

It will be appreciated that the desired insertion loss value for the desired target filter is less than 6.5dB, that is, the insertion loss value requirement for the target filter is less than or equal to 6.5dB. In the practical application process, certain fluctuation conditions exist in index parameters (such as insertion loss values) of the target filter obtained by splicing. Accordingly, the insertion loss value of the target filter can be allowed to fluctuate within a certain fluctuation range, so that the desired insertion loss value can be set to 6dB, and the fluctuation range can be set to +/-0.5dB.

Table 2 is a section matching list two shown according to an exemplary embodiment of the present disclosure. As shown in table 2, in some embodiments, a first column in the interval matching list may store each first preset insertion loss interval, a second column in the preset matching list may store each second preset insertion loss interval, and the first preset insertion loss interval and the second preset insertion loss interval located in the same row may have a matching relationship.

TABLE 2 interval match List two

Here, table 2 shows a section matching list at a desired insertion loss value of 5.5 dB.

As in the previous embodiments, the insertion loss requirement for the target filter is less than or equal to 6.5dB. At the desired insertion loss value of 5.5dB, the corresponding ripple range is +/-1dB.

It will be appreciated that the lower the desired insertion loss value, i.e., the greater the fluctuation range, the better the performance of the desired target filter can be set. Therefore, the qualification rate of the target filter obtained by splicing the first filter to be spliced and the second filter to be spliced can be improved. On the other hand, the screening requirements of the first filter to be spliced and the second filter to be spliced are improved, so that the qualification rate of the first filter to be spliced and the second filter to be spliced is lower.

That is, in the embodiment of the present disclosure, when a plurality of first preset insertion loss intervals and a plurality of second preset insertion loss intervals are set, the desired insertion loss value of the target filter may be determined according to the insertion loss value requirement of the target filter and the fluctuation condition of the insertion loss value of the target filter. And then, setting a plurality of first preset insertion loss intervals and a plurality of second preset insertion loss intervals by combining the expected insertion loss value, the insertion loss index distribution condition of the first filter to be spliced and the insertion loss index distribution condition of the second filter to be spliced. And the interval matching list can be obtained according to the first preset insertion loss intervals, the second preset insertion loss intervals and the matching relation between the first preset insertion loss intervals and the second preset insertion loss intervals.

When determining a first insertion loss section where the insertion loss value of the first filter to be spliced is located and a second insertion loss section where the insertion loss value of the second filter to be spliced is located, comparing the insertion loss value of the first filter to be spliced with a first preset insertion loss section in a section matching list, and further determining the first insertion loss section where the insertion loss value of the first filter to be spliced is located; and comparing the insertion loss value of the second filter to be spliced with a second preset insertion loss interval in the interval matching list, so as to determine a second insertion loss interval in which the insertion loss value of the second filter to be spliced is located.

In some embodiments, in step 110, the determining a first insertion loss interval in which the insertion loss value of the first filter to be spliced is located, and a second insertion loss interval in which the insertion loss value of the second filter to be spliced is located may include:

Respectively comparing the insertion loss value of the first filter to be spliced with a first preset lower limit value and a first preset upper limit value of each first preset insertion loss interval;

Determining a first preset insertion loss interval in which the first preset lower limit value is smaller than the insertion loss value of the first filter to be spliced and the first preset upper limit value is larger than or equal to the insertion loss value of the first filter to be spliced as the first insertion loss interval in which the insertion loss value of the first filter to be spliced is located;

respectively comparing the insertion loss value of the second filter to be spliced with a second preset lower limit value and a second preset upper limit value of each second preset insertion loss interval;

and determining a second preset insertion loss interval in which the insertion loss value of the second filter to be spliced is located as a second preset insertion loss interval in which the second preset lower limit value is smaller than the insertion loss value of the second filter to be spliced and the second preset upper limit value is larger than or equal to the insertion loss value of the second filter to be spliced.

After determining a first insertion loss interval in which the insertion loss value of the first filter to be spliced is located and a second insertion loss interval in which the insertion loss value of the second filter to be spliced is located, whether the first insertion loss interval in which the insertion loss value of the first filter to be spliced is located and the second insertion loss interval in which the insertion loss value of the second filter to be spliced is located meet a preset matching relation or not can be judged.

Fig. 2 is a flow chart two of a method of processing a filter according to an exemplary embodiment of the present disclosure, as shown in fig. 2, in some embodiments, the method of processing a filter may include the steps of:

Step 210, determining a first insertion loss interval in which an insertion loss value of a first filter to be spliced is located, and a second insertion loss interval in which an insertion loss value of a second filter to be spliced is located;

Step 220, adding the upper limit value of the first insertion loss section where the insertion loss value of the first filter to be spliced is located and the upper limit value of the second insertion loss section where the insertion loss value of the second filter to be spliced is located, so as to obtain an insertion loss sum value;

Step 230, determining that a first insertion loss section where the insertion loss value of the first filter to be spliced is located and a second insertion loss section where the insertion loss value of the second filter to be spliced is located meet the preset matching relationship when the insertion loss sum value is equal to the expected insertion loss value;

Step 240, associating the first filter to be spliced with the second filter to be spliced under the condition that a first insertion loss interval where the insertion loss value of the first filter to be spliced is located and a second insertion loss interval where the insertion loss value of the second filter to be spliced are located meet a preset matching relationship;

Here, the desired insertion loss value may characterize the insertion loss value of the desired target filter.

It can be understood that if the first filter to be spliced and the second filter to be spliced can enable the index of the target filter obtained by splicing to meet the preset index requirement, that is, the index parameter of the target filter can reach the expected value, the first filter to be spliced and the second filter to be spliced can be spliced.

As described in the above embodiments, the insertion loss value of the target filter may be equal to the sum of the insertion loss value of the first filter to be spliced and the insertion loss value of the second filter to be spliced for obtaining the target filter, so that when the intervals are set, the first insertion loss interval and the second insertion loss interval satisfying the preset matching relationship may be set according to the association relationship.

In this way, the insertion loss value of the target filter can be made to satisfy the desired insertion loss value, and the insertion loss value of the target filter can be limited to be less than (including) the desired insertion loss value.

Therefore, when the sum of the insertion loss is equal to the expected insertion loss value, it can be explained that the first insertion loss section where the insertion loss value of the first filter to be spliced is located and the second insertion loss section where the insertion loss value of the second filter to be spliced is located satisfy the preset matching relationship.

Here, by judging whether the sum value of the insertion loss is equal to the expected insertion loss value, the sum value of the insertion loss value in the first insertion loss section and the insertion loss value in the second insertion loss section can be obtained, whether the expected insertion loss value is met or not, whether the first insertion loss section and the second insertion loss section meet a preset matching relation or not can be accurately judged, and whether the first filter to be spliced with the insertion loss value in the first insertion loss section can be spliced with the second filter to be spliced with the insertion loss value in the second insertion loss section or not can be accurately judged.

That is, in some embodiments, the preset matching relationship may satisfy a preset requirement for a sum value of a first insertion loss interval in which the insertion loss value of the first filter to be spliced is located and a second insertion loss interval in which the insertion loss value of the second filter to be spliced is located. For example, the sum of the lower limit value of the first insertion loss section and the lower limit value of the second insertion loss section is greater than the lower limit value of the preset section, and the upper limit value of the first insertion loss section and the upper limit value of the second insertion loss section is less than the upper limit value of the preset section.

Therefore, the sum of the insertion loss value of the first filter to be spliced and the insertion loss value of the second filter to be spliced can be limited in a preset interval, and the insertion loss value of the target filter spliced by the first filter to be spliced and the second filter to be spliced can be limited in a certain range.

In other embodiments, the preset matching relationship may be that a first insertion loss interval where the insertion loss value of the first filter to be spliced is located is the same as a second insertion loss interval where the insertion loss value of the second filter to be spliced is located.

In other embodiments, the preset matching relationship may be that a first insertion loss interval in which the insertion loss value of the first filter to be spliced is located is similar to a second insertion loss interval in which the insertion loss value of the second filter to be spliced is located, for example, a difference between a lower limit value of the first insertion loss interval and a lower limit value of the second insertion loss interval is smaller, and a difference between an upper limit value of the first insertion loss interval and an upper limit value of the second insertion loss interval is smaller.

Under the condition that the first insertion loss interval where the insertion loss value of the first filter to be spliced is determined and the second insertion loss interval where the insertion loss value of the second filter to be spliced is determined meet a preset matching relation, the first filter to be spliced and the second filter to be spliced are associated, and the first filter to be spliced and the second filter to be spliced which are associated with each other are used for splicing to obtain a target filter.

In other embodiments, through theoretical analysis, it may also be determined that the intra-channel loss unevenness of the target filter is equal to the sum of the intra-channel loss unevenness of the first filter to be spliced and the intra-channel loss unevenness of the second filter to be spliced.

In this embodiment, whether the first non-flatness interval in which the channel interpolation loss non-flatness of the first filter to be spliced is located and the second non-flatness interval in which the channel interpolation loss non-flatness of the second filter to be spliced is located satisfy the preset matching relationship may also be determined by a method similar to the method in the above embodiment for determining whether the first insertion loss interval in which the insertion loss value of the first filter to be spliced is located and the second insertion loss interval in which the insertion loss value of the second filter to be spliced is located satisfy the preset matching relationship.

And then under the condition that a first uneven zone where the channel interpolation loss uneven degree of the first filter to be spliced is located and a second uneven zone where the channel interpolation loss uneven degree of the second filter to be spliced are located meet a preset matching relation, the first filter to be spliced and the second filter to be spliced are associated.

In other embodiments, the first filter to be spliced and the second filter to be spliced may be associated under the condition that the first insertion loss interval where the insertion loss value of the first filter to be spliced is located and the second insertion loss interval where the insertion loss value of the second filter to be spliced are located meet a preset matching relationship, and the channel insertion loss unevenness of the first filter to be spliced and the channel insertion loss unevenness of the second filter to be spliced meet corresponding requirements.

In some embodiments, when the first filter to be spliced and the second filter to be spliced are associated, the device identifier of the first filter to be spliced and the device identifier of the second filter to be spliced may be associated.

In some embodiments, the device identifier of the first filter to be spliced, the device identifier of the second filter to be spliced having an association with the first filter to be spliced, and the association of the first filter to be spliced with the second filter to be spliced may be recorded in an association list.

In the process of splicing the filters, the equipment identification of the first filter to be spliced and the equipment identification of the second filter to be spliced which are associated with each other can be obtained from the association relation list, the first filter to be spliced and the second filter to be spliced are selected according to the equipment identification, and then the selected first filter to be spliced and the selected second filter to be spliced are spliced, so that the target filter is obtained. For example, the output port of the selected first filter to be spliced is connected with the input port of the second filter to be spliced, so as to obtain the target filter.

In some embodiments, the second filter to be spliced, which is correlated with the first filter to be spliced, may include two filters, and the structures and parameters of the two filters may be the same or similar.

The output ports of the first filter to be spliced can be respectively connected with the input ports of two filters in the second filter to be spliced, and the first filter to be spliced and the two filters in the second filter to be spliced can jointly form a target filter. The signals can enter from the input port of the first filter to be spliced, two paths of signals are obtained after the signals are filtered by the first filter to be spliced, and the two paths of signals enter into the two filters in the second filter to be spliced respectively and are output through the output ports of the two filters in the second filter to be spliced.

It can be understood that, because the index has certain fluctuation in the mass production of the filters, if the splicing pairing is not standardized, the fluctuation of the index of the target filter obtained by splicing the filters can be further amplified after the filters are spliced, so that the problems of larger fluctuation of the index and poor consistency of the index of the target filter are caused.

Fig. 3 is a flowchart three of a method of processing a filter, as shown in fig. 3, according to an exemplary embodiment of the present disclosure, which in some embodiments includes the steps of:

step 310, determining a first insertion loss interval in which an insertion loss value of a first filter to be spliced is located, and a second insertion loss interval in which an insertion loss value of a second filter to be spliced is located;

Step 320, associating the first filter to be spliced with the second filter to be spliced under the condition that a first insertion loss interval where the insertion loss value of the first filter to be spliced is located and a second insertion loss interval where the insertion loss value of the second filter to be spliced are located meet a preset matching relationship; the first filter to be spliced and the second filter to be spliced which are mutually related are used for splicing to obtain a target filter;

Step 330, determining a target insertion loss value of the target filter based on the insertion loss value of the first filter to be spliced and the insertion loss value of the second filter to be spliced which are related to each other;

Step 340, determining an insertion loss consistency parameter of the target filter based on the target insertion loss value; the insertion loss consistency parameter is used for representing the stability of the target filter;

Step 350, determining that the stability of the target filter meets a preset requirement under the condition that the insertion loss consistency parameter is lower than a preset parameter threshold; wherein the target filter includes at least two channels, and the target insertion loss value includes: and the central wavelength insertion loss value of the channel.

Here, the preset parameter threshold may be determined according to actual conditions.

As described in the above embodiments, the correlation between the insertion loss value of the first filter to be spliced, the insertion loss value of the second filter to be spliced, and the insertion loss value of the target filter spliced by the first filter to be spliced and the second filter to be spliced may be obtained through theoretical analysis. Further, the target insertion loss value of the target filter may be determined based on the association relationship and the insertion loss value of the first filter to be spliced and the insertion loss value of the second filter to be spliced that are associated with each other.

For example, in the case where the insertion loss value of the target filter is equal to the sum value of the insertion loss value of the first filter to be spliced and the insertion loss value of the second filter to be spliced, which are correlated with each other, may be determined as the target insertion loss value, or the sum value of the insertion loss value of the first filter to be spliced, the insertion loss value of the second filter to be spliced, and the preset offset, which are correlated with each other, may be determined as the target insertion loss value.

It can be understood that in the practical application process, the insertion loss value of the target filter obtained by splicing has certain fluctuation, so that the allowable fluctuation condition of the insertion loss value of the target filter can be represented by a preset offset.

That is, in some embodiments, in step 330, determining the target insertion loss value of the target filter based on the insertion loss value of the first filter to be spliced and the insertion loss value of the second filter to be spliced that are associated with each other may include:

Therefore, the insertion loss value of the target filter can be accurately and rapidly determined based on the existing insertion loss value of the first filter to be spliced and the second filter to be spliced, and the insertion loss value of the target filter does not need to be measured again.

It may be appreciated that after determining the target insertion loss value of the target filter, the insertion loss consistency parameter of the target filter may be determined based on the target insertion loss value, and the stability of the target filter may be evaluated by the insertion loss consistency parameter.

For example, under the condition that the insertion loss consistency parameter is lower than a preset parameter threshold, determining that the stability of the target filter meets a preset requirement, wherein the target filter is qualified; and under the condition that the insertion loss consistency parameter is higher than a preset parameter threshold, determining that the stability of the target filter does not meet the preset requirement, wherein the target filter is unqualified, and re-selecting the first filter to be spliced and the second filter to be spliced and re-splicing to obtain the target filter.

Here, after the target filter is obtained by splicing, the stability of the target filter can be evaluated through the insertion loss consistency parameter of the target filter, so that the stability of the finally obtained target filter is better.

Here, the insertion loss consistency parameter may include an inter-channel insertion loss consistency parameter and/or an adjacent channel insertion loss consistency parameter.

It will be appreciated that the target filter may be spliced by one comb filter and two wavelength division multiplexers, that is, the first filter to be spliced may be one comb filter and the second filter to be spliced may be two wavelength division multiplexers. In this case, the odd channel and the even channel of the target filter may each correspond to an independent wavelength division multiplexer, for example, the odd channel corresponds to a first wavelength division multiplexer and the even channel corresponds to a second wavelength division multiplexer. Thus, if the adjacent channel insertion loss consistency difference between the adjacent odd channel and the even channel is large, the performance of the communication system where the target filter is located is affected. The stability of the target filter can be evaluated by adjacent channel insertion loss consistency.

In some embodiments, the insertion loss consistency parameter comprises: inserting loss consistency parameters of adjacent channels; in step 340, the determining, based on the target insertion loss value, an insertion loss consistency parameter of the target filter includes:

Sequencing all the absolute values to obtain sequencing results;

Here, the center wavelength insertion loss value may represent a corresponding insertion loss value at the center wavelength of the channel.

The absolute value of the adjacent channel insertion loss difference value of the center wavelength insertion loss value of any two adjacent channels can represent the fluctuation (or consistency) of the insertion loss of any two adjacent channels, for example, the larger the absolute value of the adjacent channel insertion loss difference value of the center wavelength insertion loss value of the two adjacent channels, the larger the insertion loss fluctuation of the two adjacent channels is, which means that the insertion loss consistency is worse.

After determining the absolute value of the adjacent channel insertion loss difference value of the center wavelength insertion loss value of each group of adjacent channels in the target filter, the adjacent channel insertion loss consistency parameter of the target filter can be determined based on the absolute value of the adjacent channel insertion loss difference value of the center wavelength insertion loss value of each group of adjacent channels. If the absolute values are subjected to sorting, determining adjacent channel insertion loss consistency parameters from the absolute values according to sorting results.

It can be understood that the smaller the maximum value in the absolute value of the adjacent channel insertion loss difference value of each group of adjacent channels of the target filter, the better the insertion loss consistency of the target filter is illustrated; the larger the maximum value in the absolute value of the adjacent channel insertion loss difference value of each set of adjacent channels of the target filter, the worse the insertion loss consistency of the target filter (i.e., the adjacent channel insertion loss consistency of the target filter) is explained.

In some embodiments, the sorting process may be performed on the absolute values, which may be arranged in order from small to large or in order from large to small. Based on the ranking result, determining the adjacent channel insertion loss consistency parameter from each absolute value may include taking the maximum value of the absolute values as the adjacent channel insertion loss consistency parameter.

In some embodiments, the calculation formula of the adjacent channel insertion loss consistency parameter of the target filter is as follows:

Uniformity_A＝max(|IL_i+1-IL_i|) (1)；

Here, uniformity _A may represent an adjacent channel insertion loss Uniformity parameter, IL _i may represent a center wavelength insertion loss value for an i-th channel, which may be greater than or equal to 1.

Here, according to the absolute value of the adjacent channel insertion loss difference value between the center wavelength insertion loss values of any two adjacent channels in the target filter, the determined adjacent channel insertion loss consistency parameter can accurately represent the insertion loss consistency between the adjacent channels in the target filter.

It will be appreciated that the spliced target filter may be a multi-channel filter, in which case the stability of the target filter may be assessed by the inter-channel insertion loss consistency parameter of the target filter.

The method comprises the steps of determining the maximum value and the minimum value of the insertion loss in the insertion loss values of the center wavelengths through sequencing the insertion loss values of the center wavelengths of all channels in the target filter;

And determining the channel insertion loss consistency parameter according to the channel insertion loss difference value. Here, the inter-channel insertion loss difference between the insertion loss maximum value and the insertion loss minimum value may be determined as the inter-channel insertion loss consistency parameter.

In some embodiments, the calculation formula for the inter-channel insertion loss consistency parameter of the target filter is as follows:

Uniformity＝max(IL₁,…,IL_k)-min(IL₁,…,IL_k) (2)；

here, uniformity may represent an inter-channel insertion loss Uniformity parameter, IL _k may represent a center wavelength insertion loss value of a kth channel, where k represents a total number of channels, and k may be greater than or equal to 2.

Here, the inter-channel insertion loss consistency parameter determined according to the insertion loss maximum value and the insertion loss minimum value in the center wavelength insertion loss values of the channels in the target filter can accurately represent the insertion loss consistency among the channels in the target filter. In some embodiments, the method further comprises:

That is, in the embodiment of the present disclosure, a first filter to be spliced may be screened from the first alternative filters, a second filter to be spliced may be screened from the second alternative filters, and then the first filter to be spliced and the second filter to be spliced are associated under the condition that it is determined that a first insertion loss interval where an insertion loss value of the first filter to be spliced is located and a second insertion loss interval where an insertion loss value of the second filter to be spliced are located satisfy a preset matching relationship.

The first index parameter of the first alternative filter may be read from the device parameter of the first alternative filter, or may be calculated according to the device parameter of the first alternative filter, or may be measured through experiments; the second index parameter of the second alternative filter may be read from the device parameter of the second alternative filter, or may be calculated according to the device parameter of the second alternative filter, or may be measured through experiments.

The first target parameter and the second target parameter may be index parameters of a desired target filter. The first target parameter may be a part of index parameters of the target filter, such as a center wavelength, a bandwidth, and an adjacent channel isolation, corresponding to the first candidate filter; the second target parameter may be a portion of index parameters of the target filter corresponding to the second candidate filter, such as non-adjacent channel isolation.

It will be appreciated that in the case where the first or second alternative filters are wavelength division multiplexers, the wavelength division multiplexers need to be screened by using adjacent channel isolation and non-adjacent channel isolation as screening indicators.

When the first index parameter of the first alternative filter is matched with the first target index parameter and the second index parameter of the second alternative filter is matched with the second target index parameter, the first alternative filter can be used as a first filter to be spliced, the second alternative filter can be used as a second filter to be spliced, and a filter obtained by splicing the first alternative filter and the second alternative filter is a desired target filter.

It may be appreciated that, in the embodiment of the present disclosure, the association relationship between the first index parameter of the first alternative filter, the second index parameter of the second alternative filter, and the target index parameter of the target filter may be obtained in advance through theoretical analysis.

Thus, after determining the target index parameters (e.g., the first target index parameter and the second target index parameter) of the desired target filter, the first condition that the first index parameter of the first filter to be spliced needs to satisfy, and the second condition that the second index parameter of the second filter to be spliced needs to satisfy, which are needed by such target filter, may be back-deduced.

In the case that the first index parameter of the first alternative filter satisfies the first condition, it may be determined that the first index parameter matches the target filtering parameter, and the first alternative filter may be determined as the first filter to be spliced; in the case that the second index parameter of the second alternative filter meets the second condition, it may be determined that the second index parameter matches the target multiplexing parameter, the second alternative filter may be determined as a second filter to be spliced, and the first alternative filter and the second alternative filter may be spliced to obtain the target filter that is expected to be obtained.

In this way, the first filter to be spliced is determined from the first alternative filters based on the first target index parameter, and the second filter to be spliced is determined from the second alternative filters based on the second target index parameter, so that the first filter to be spliced and the second filter to be spliced can be spliced to obtain the target filter with the target index parameter.

Here, the isolation between two adjacent channels may be represented by the difference between the insertion loss values of the center wavelengths of the two adjacent channels in the filter.

As described in the above embodiments, the association relationship between the first index parameter of the first alternative filter, the second index parameter of the second alternative filter, and the target index parameter of the target filter for obtaining the target filter may be obtained in advance by theoretical analysis.

In some embodiments, it may be determined from theoretical analysis that the target center wavelength of the target filter is close to the center wavelength of the first alternative filter, i.e., the absolute value of the wavelength difference between the target center wavelength and the center wavelength of the first alternative filter is small, e.g., the wavelength difference is less than a preset wavelength threshold. Here, the preset wavelength threshold and the preset bandwidth threshold may be determined according to actual application conditions.

In some embodiments, according to the theoretical analysis, it may be obtained that the target bandwidth of the target filter is similar to the bandwidth of the first alternative filter, that is, the absolute value of the bandwidth difference between the target bandwidth and the bandwidth of the first alternative filter is smaller, for example, the bandwidth difference is smaller than the preset bandwidth threshold.

In some embodiments, it may be derived from theoretical analysis that the target adjacent channel isolation of the target filter may be greater than the adjacent channel isolation of the first alternative filter. Therefore, as long as the adjacent channel isolation of the first alternative filter is greater than the preset adjacent channel isolation threshold, the target adjacent channel isolation of the target filter is greater than the preset adjacent channel isolation threshold.

Here, the preset adjacent channel isolation threshold may be determined according to actual situations.

In this way, in the case where the target center wavelength, the target bandwidth, and the target adjacent channel isolation of the desired target filter are known, it can be reversely deduced whether the center wavelength, the bandwidth, and the adjacent channel isolation of each first candidate filter satisfy the corresponding conditions, such as whether the wavelength difference between the center wavelength and the target center wavelength is smaller than the preset wavelength threshold.

Under the condition that the center wavelength, the bandwidth and the adjacent channel isolation of the first alternative filter respectively meet corresponding conditions, the first alternative filter can be spliced with a certain second alternative filter to obtain a target filter with the target center wavelength, the target bandwidth and the target adjacent channel isolation, which is expected to be obtained, and the first alternative filter can be determined to be the first filter to be spliced.

Therefore, whether the first alternative filter can be spliced with the second alternative filter to obtain the expected target filter can be accurately judged based on the center wavelength, the bandwidth and the adjacent channel isolation of the first alternative filter. And the splicing effect of the first filter to be spliced and the second filter to be spliced determined based on the method is good, and the index parameters of the obtained target filter can reach the expected index parameters.

Here, the isolation between the non-adjacent channels may be the insertion loss difference between the center wavelength insertion loss values of the non-adjacent channels in the filter, and may represent the isolation between the two non-adjacent channels.

In some embodiments, according to theoretical analysis, it may be obtained that the target non-adjacent channel isolation of the target filter is close to the non-adjacent channel isolation of the second alternative filter, that is, the absolute value of the isolation difference between the target non-adjacent channel isolation and the non-adjacent channel isolation of the second alternative filter is smaller, for example, the isolation difference is smaller than the preset isolation threshold.

In this way, if the target non-adjacent channel isolation of the target filter is known to be desired, it can be reversely deduced whether the non-adjacent channel isolation of each second candidate filter meets the corresponding condition, such as whether the difference between the non-adjacent channel isolation and the target non-adjacent channel isolation is smaller than the preset isolation threshold.

And under the condition that the non-adjacent channel isolation of the second alternative filter meets the corresponding condition, the second alternative filter can be spliced with a certain first alternative filter to obtain a target filter with the target non-adjacent channel isolation, and the second alternative filter can be determined as a second filter to be spliced.

Therefore, whether the second alternative filter can be spliced with the first alternative filter to obtain the expected target filter can be accurately judged based on the isolation degree of the non-adjacent channels of the second alternative filter. And the splicing effect of the first filter to be spliced and the second filter to be spliced determined based on the method is good, and the index parameters of the obtained target filter can reach the expected index parameters.

In some embodiments, the value range of the index parameter of the first filter to be spliced or the condition to be met may be reversely deduced according to the correlation between the first index parameter of the first filter to be spliced, the second index parameter of the second filter to be spliced and the target index parameter of the target filter obtained through theoretical analysis, where the target index parameter is known, and the value range of the index parameter of the first filter to be spliced or the condition to be met may be used as the value range of the index parameter of the second filter to be spliced.

Furthermore, according to the value range of the index parameter of the first filter to be spliced or the condition to be met, the first filter to be spliced with the index parameter in the value range or meeting certain conditions can be produced; the second filter to be spliced, in which the index parameter is located in the value range or meets certain conditions, can be produced according to the value range of the index parameter of the second filter to be spliced or the conditions to be met.

In some embodiments, the processing method of the filter may include:

determining a first index parameter matched with the first target index parameter and a second index parameter matched with the second target index parameter based on a preset association relation;

For example, based on the association relationship between the first target index parameter and the first index parameter of the first filter to be spliced for obtaining the target filter (for example, the target center wavelength is close to the center wavelength of the first filter to be spliced), in the case that the first target index parameter is known, the value range or the condition to be satisfied with the first index parameter of the first filter to be spliced for obtaining the target filter may be determined.

And obtaining a first filter to be spliced corresponding to the first index parameter and a second filter to be spliced corresponding to the second index parameter based on the first index parameter and the second index parameter.

Here, obtaining the first filter to be spliced corresponding to the first index parameter and the second filter to be spliced corresponding to the second index parameter based on the first index parameter and the second index parameter may include:

Determining a first filter to be spliced from the first alternative filters based on the first index parameters, and determining a second filter to be spliced from the second alternative filters based on the second index parameters; or alternatively

And producing a first filter to be spliced based on the first index parameter, and producing a second filter to be spliced based on the second index parameter.

Fig. 4 is a schematic diagram of a structure of a target filter according to an exemplary embodiment of the present disclosure, and fig. 5 is a schematic diagram of a structure of a target filter according to an exemplary embodiment of the present disclosure. As shown in fig. 4, in some embodiments, the first filter to be spliced includes: the comb filter, the second filter to be spliced includes: a wavelength division multiplexer; the target filter is obtained by splicing one comb filter and two wavelength division multiplexers.

Shown in fig. 4 is a schematic diagram of cascading a comb filter and a wavelength division multiplexer to obtain a target filter. In some embodiments, the comb filtering in fig. 4 may be obtained by concatenating a plurality of combers, and the wavelength division multiplexer may be obtained by concatenating a plurality of comb filters or wavelength division multiplexers. The scheme shown in fig. 5 can be seen as a cascade concatenation of three comb filters with four corresponding wavelength division multiplexers; the method can also be regarded as that one comb filter is cascaded and spliced with two wavelength division multiplexers, and the corresponding two wavelength division multiplexers also adopt a scheme of cascaded and spliced of the comb filter and the wavelength division multiplexer. In other embodiments, in this way, the target filter may also be obtained by n-stage cascading.

As shown in fig. 4, the frequency interval of the comb filter is f, the frequency interval of the wavelength division multiplexer is 2f, and the filtering wavelengths of the two wavelength division multiplexers respectively correspond to the odd-even channel wavelengths of the comb filter. The optical signal with the frequency interval f is divided into two columns of optical signals with the frequency interval of 2f by a comb filter and is respectively output from odd and even two paths of light, and the odd and even two paths of light respectively output corresponding odd signal light and even signal light by a wavelength division multiplexer with the frequency interval of 2 f.

In some embodiments, the comb filter may be an MGTI-type comb filter (Michelson-Gires-Tournois-interometer, michelson-GT cavity Interferometer-type comb filter) and the wavelength division multiplexer may be an AWG (Arrayed Waveguide Grating ).

Fig. 6 is a flowchart four of a processing method of a filter according to an exemplary embodiment of the present disclosure.

As shown in fig. 6, in some embodiments, the processing method of the filter may include the following steps:

step 510, determining a first index parameter matched with the first target index parameter and a second index parameter matched with the second target index parameter based on the preset association relation.

And step 520, obtaining a first filter to be spliced corresponding to the first index parameter and a second filter to be spliced corresponding to the second index parameter based on the first index parameter and the second index parameter.

Step 530, determining a first insertion loss interval in which the insertion loss value of the first filter to be spliced is located, and a second insertion loss interval in which the insertion loss value of the second filter to be spliced is located.

Here, a plurality of first preset insertion loss intervals and a plurality of second preset insertion loss intervals may be preset, and each of the first preset insertion loss intervals and the second preset insertion loss intervals that are matched with each other, and a matching relationship between the first preset insertion loss intervals and the second preset insertion loss intervals may be recorded in the interval matching list.

The insertion loss value of the first filter to be spliced is compared with a preset filtering interval in an interval matching list, so that a first insertion loss interval in which the insertion loss value of the first filter to be spliced is located is determined; and comparing the insertion loss value of the second filter to be spliced with a preset multiplexing interval in the interval matching list, and further determining a second insertion loss interval in which the insertion loss value of the second filter to be spliced is located.

After determining the first insertion loss section where the insertion loss value of the first filter to be spliced is located and the second insertion loss section where the insertion loss value of the second filter to be spliced is located, whether the first insertion loss section has a matching relationship with the second insertion loss section or not may be determined based on the section matching list.

Or after determining a first insertion loss interval in which the insertion loss value of the first filter to be spliced is located and a second insertion loss interval in which the insertion loss value of the second filter to be spliced is located, adding the upper limit value of the first insertion loss interval in which the insertion loss value of the first filter to be spliced is located and the upper limit value of the second insertion loss interval in which the insertion loss value of the second filter to be spliced is located, so as to obtain insertion loss sum values;

And under the condition that the insertion loss sum value is equal to the expected insertion loss value, determining that a first insertion loss interval in which the insertion loss value of the first filter to be spliced is positioned and a second insertion loss interval in which the insertion loss value of the second filter to be spliced is positioned meet a preset matching relation.

Step 540, associating the first filter to be spliced with the second filter to be spliced under the condition that a first insertion loss interval where the insertion loss value of the first filter to be spliced is located and a second insertion loss interval where the insertion loss value of the second filter to be spliced are located meet a preset matching relationship; the first filter to be spliced and the second filter to be spliced which are mutually related are used for splicing to obtain a target filter.

In some embodiments, the device identification of the first filter to be spliced may be associated with the device identification of the second filter to be spliced.

Step 550, determining a target insertion loss value of the target filter based on the insertion loss value of the first filter to be spliced and the insertion loss value of the second filter to be spliced which are related to each other.

The sum of the insertion loss value of each channel of the first filter to be spliced and the insertion loss value of each corresponding channel of the second filter to be spliced can be determined as the target insertion loss value of each channel of the target filter, and then the insertion loss consistency parameter between the channels and the insertion loss consistency parameter of the adjacent channels can be determined according to the target insertion loss value of each channel, and then the stability of the target filter is evaluated based on the insertion loss consistency parameter.

Step 560, determining an insertion loss consistency parameter of the target filter based on the target insertion loss value; the insertion loss consistency parameter is used for representing the stability of the target filter.

Here, the target insertion loss value may include a center wavelength insertion loss value of each channel of the target filter, and the insertion loss consistency parameter may include an inter-channel insertion loss consistency parameter and/or an adjacent channel consistency parameter.

Step 570, determining that the stability of the target filter meets a preset requirement when the insertion loss consistency parameter is lower than a preset parameter threshold; wherein the target filter includes at least two channels, and the target insertion loss value includes: and the central wavelength insertion loss value of the channel.

It will be appreciated that assuming that the desired channel count requirement for the target filter is 64 pass, the frequency spacing requirement is 75 gigahertz (GHz), the starting frequency requirement is f _ITU-1 = 196100GHz (the ending frequency is f _ITU-64＝f_ITU-1 -75 x 63 = 191375 GHz), the corresponding ITU center wavelength is λ _ITU-1＝c/f_ITU-1 = 1528.773 nanometers (nm) (the ending wavelength is λ _ITU-64＝c/f_ITU-64 = 1566.518 nm), the center wavelength accuracy requirement is within [ -4,4] GHz, the insertion loss value requirement is within 6.5dB, the inter-channel insertion loss uniformity parameter requirement is within 1.5dB, the adjacent channel insertion loss uniformity parameter requirement is within 0.8dB, the intra-channel loss unevenness requirement is within 2.5dB, the 3dB full bandwidth requirement is within [70,76] GHz, the 10dB full bandwidth requirement is within [85,94] GHz, the adjacent channel isolation requirement is above 30dB, and the non-adjacent channel isolation requirement is above 25 dB.

According to the index requirements of the target filter, an input two-output comb filter is not difficult to obtain, 2 output channels are respectively called an odd channel and an even channel, wherein the initial wavelength of the odd channel is lambda _odd-1＝λ_ITU-1＝1528.773nm(f_odd-1＝f_ITU-1 = 196100 GHz), the final wavelength of the even channel is lambda _even-32＝λ_ITU-64＝1566.518nm(f_even-32＝f_ITU-64 = 191375 GHz), the final wavelength of the odd channel is lambda _odd-32＝c/(f_even-32 +75) = 1565.905nm, the initial wavelength of the even channel is lambda _even-1＝c/(f_odd-1 -75) = 1529.358nm, therefore, the frequency interval of the odd/even channels is 150GHz, the interval of the odd channel and the even channel is 75GHz, the channel numbers of the two wavelength division multiplexers are 32, the frequency interval of the two wavelength division multiplexers is 150GHz, the center wavelength and the frequency interval of the two wavelength division multiplexers respectively correspond to the odd channel of the comb filter, namely the initial wavelength of the corresponding odd channel is 1528.773nm, the final wavelength is 1565.905nm, the initial wavelength of the corresponding even channel is 1529.358nm, and the final wavelength of the corresponding even channel is 1566.518nm.

It can be understood that the association relationship between the index parameter of the comb filter, the index parameter of the wavelength division multiplexer and the index parameter of the target filter can be obtained by theoretical analysis, and then the index parameter of the comb filter and the index parameter of the wavelength division multiplexer are reversely deduced under the condition that the index parameter of the target filter is known based on the association relationship, wherein the index parameter can represent the value range of the index parameter.

In some embodiments, the range of values for the center wavelength of the comb filter may be determined from the center wavelength of the target filter.

Fig. 7 is a schematic diagram illustrating a center wavelength and a definition of center wavelength accuracy according to an exemplary embodiment of the present disclosure. As shown in fig. 7, the 3dB center wavelength λ _c may be defined as a corresponding wavelength value at the center of the spectrum range covered by the 3dB drop in the center wavelength insertion loss, and the center wavelength insertion loss IL _ITU is defined as an insertion loss value corresponding to the ITU center wavelength, and the center wavelength accuracy is defined as the difference between the 3dB center wavelength and the ITU center wavelength, that is, the calculation formula of the center wavelength accuracy is:

Δλ＝λ_c-λ_ITU (3)；

In formula (3), Δλ represents accuracy data of the center wavelength of the target filter, λ _c represents a corresponding wavelength value at the center of the spectral range covered by 3dB of the center wavelength insertion loss, and λ _ITU represents the ITU center wavelength.

For example, by theoretical analysis, it is determined that the target center wavelength of the target filter is close to the center wavelength of the comb filter and is between the center wavelength of the comb filter and the center wavelength of the wavelength division multiplexer.

According to the accuracy requirement of the center wavelength of the target filter within [ -4,4] GHz, the target center wavelength of the target filter is combined to be similar to the center wavelength of the comb filter and is between the center wavelength of the comb filter and the center wavelength of the wavelength division multiplexer, the value range of the center wavelength of the comb filter can be determined, and the comb filter can be selected according to the value range.

In some embodiments, the range of values of the bandwidth of the comb filter may be determined from the bandwidth of the target filter.

Fig. 8 is a schematic diagram illustrating a bandwidth definition according to an exemplary embodiment of the present disclosure. As shown in fig. 8, the ndB bandwidth may be defined as a spectral width covered by the ndB with reduced center wavelength insertion loss, and the full bandwidth=bbb1+bbw2, and the net bandwidth=2×min (BW 1, BW 2), which is taken as an example in this embodiment.

For example, by means of theoretical analysis, it is determined that the bandwidth of the target filter is similar to the bandwidth of the comb filter.

According to the 3dB full bandwidth requirement of the target filter within 70,76 GHz, the value range of the center wavelength of the comb filter can be determined by combining the bandwidth of the target filter with the bandwidth of the comb filter to be similar, and the comb filter can be selected according to the value range.

In some embodiments, the range of values of adjacent channel isolation of the comb filter may be determined from the adjacent channel isolation of the target filter.

Fig. 9 is a schematic diagram illustrating adjacent channel isolation definition according to an exemplary embodiment of the present disclosure. As shown in fig. 9, the adjacent channel isolation (Adjacent Isolation, AI) may be defined as the difference between the channel center wavelength insertion loss and the adjacent channel center wavelength insertion loss, and the adjacent channel isolation typically takes the minimum of the left adjacent channel isolation and the right adjacent channel isolation.

For example, by way of theoretical analysis, it is determined that the adjacent channel isolation of the target filter is greater than the adjacent channel isolation of the comb filter.

According to the adjacent channel isolation of the target filter, which is required to be more than 30dB, the value range of the adjacent channel isolation of the comb filter can be determined by combining the fact that the adjacent channel isolation of the target filter is larger than the adjacent channel isolation of the comb filter, and the comb filter can be selected according to the value range.

Furthermore, the comb filter may be selected based on a range of values of a center wavelength of the comb filter, a range of bandwidths, and a range of isolation between adjacent channels.

In some embodiments, the range of values of the non-adjacent channel isolation of the wavelength division multiplexer may be determined according to the non-adjacent channel isolation of the target filter.

As shown in fig. 9, the Non-adjacent channel isolation (Non-adjacent Isolation, NI) may be defined as the difference between the channel center wavelength insertion loss and the Non-adjacent channel center wavelength insertion loss, and the Non-adjacent channel isolation typically takes the minimum value of all the Non-adjacent channel isolation.

For example, by theoretical analysis, it is determined that the isolation of the non-adjacent channels of the target filter is similar to the isolation of the non-adjacent channels of the wavelength division multiplexer.

According to the non-adjacent channel isolation of the target filter which is required to be more than 25dB, the non-adjacent channel isolation of the target filter is combined to be similar to the non-adjacent channel isolation of the wavelength division multiplexer, the value range of the non-adjacent channel isolation of the wavelength division multiplexer can be determined, and the wavelength division multiplexer can be selected according to the value range.

Further, the wavelength division multiplexer may be selected based on a non-adjacent channel isolation range of the wavelength division multiplexer. In some embodiments, the insertion loss value of the comb filter and the insertion loss value of the wavelength division multiplexer may also be determined according to the insertion loss value of the target filter.

Here, the insertion loss value may include a center wavelength insertion loss value, an inter-channel insertion loss consistency parameter, an adjacent channel insertion loss consistency parameter, and an intra-channel loss unevenness parameter, and the definition of the center wavelength insertion loss value IL _ITU is shown in fig. 7, which is specifically described as an insertion loss value corresponding to the ITU center wavelength.

The inter-channel insertion loss consistency parameter may be defined as a difference between a maximum value and a minimum value of the insertion loss of the center wavelength in all channels, and the calculation formula of the inter-channel insertion loss consistency parameter may refer to formula (2), i.e. uniformity=max (IL ₁,…,IL_k)-min(IL₁,…,IL_k).

Here, uniformity represents an inter-channel insertion loss Uniformity parameter, IL _k may represent a center wavelength insertion loss value of a kth channel, where k represents a total number of channels, for example, in this embodiment, k=64.

The adjacent channel insertion loss consistency parameter is defined as the maximum value of the absolute value of the difference value of the center wavelength insertion loss between adjacent channels, and the calculation mode of the adjacent channel insertion loss consistency parameter can refer to formula (1), namely Uniformity _A＝max(IL_i+1-IL_i |.

Here, uniformity _A may represent an adjacent channel insertion loss Uniformity parameter, IL _i may represent a center wavelength insertion loss value of the ith channel, and in this embodiment, i may be greater than or equal to 1 and less than or equal to 63.

Considering that the influence of crosstalk on the system is not only related to isolation but also to signal power (insertion loss consistency), especially insertion loss consistency of adjacent channels, the stability of the target filter can be evaluated by the adjacent channel insertion loss consistency parameter of the target filter.

Fig. 10 is a schematic diagram illustrating an in-channel loss unevenness definition according to an exemplary embodiment of the disclosure. As shown in fig. 10, the intra-channel loss unevenness is defined as the difference between the maximum insertion loss and the insertion loss in the effective bandwidth of the channel, and the effective bandwidth of the channel is selected to be +/-32GHz in this embodiment.

Through theoretical analysis, it can be determined that the insertion loss value of the target filter can be the sum of the insertion loss value of the comb filter and the insertion loss value of the wavelength division multiplexer.

According to the central wavelength insertion loss of the target filter within 6.5dB, the insertion loss consistency parameter between channels within 1.5dB, the insertion loss consistency parameter between adjacent channels within 0.8dB and the loss unevenness within 2.5dB, the insertion loss value of the combined target filter can be the sum of the insertion loss value of the comb filter and the insertion loss value of the wavelength division multiplexer, and the value range of the insertion loss value of the comb filter and the value range of the insertion loss value of the wavelength division multiplexer can be determined. Furthermore, the comb filter may be selected based on a range of values of insertion loss values of the comb filter, and the wavelength division multiplexer may be selected based on a range of values of insertion loss values of the wavelength division multiplexer.

After the comb filter and the wavelength division multiplexer are selected, the comb filter and the wavelength division multiplexer are associated under the condition that a first insertion loss interval where the insertion loss value of the comb filter is located and a second insertion loss interval where the insertion loss value of the wavelength division multiplexer is located have a matching relationship, and the target filter is obtained by splicing one comb filter and two wavelength division multiplexers which are associated with each other.

After the target filter is obtained, the insertion loss value (for example, the insertion loss value of each channel) of the target filter can be obtained based on the sum value of the insertion loss value of the comb filter and the insertion loss value of the wavelength division multiplexer, so that the insertion loss consistency parameter (for example, the insertion loss consistency parameter of the adjacent channels) of the target filter is obtained, and the stability of the target filter is evaluated by using the insertion loss consistency parameter.

In the present disclosure, after the target filter is obtained based on the concatenation of the comb filter and the wavelength division multiplexer, the correlation relationship between the target filter's index parameter and the comb filter's index parameter and the wavelength division multiplexer's index parameter may be summarized before the verification of the target filter's index parameter, the comb filter's index parameter and the wavelength division multiplexer's index parameter, respectively.

Fig. 11 is a transmission spectrum schematic diagram of a comb filter shown according to an exemplary embodiment of the present disclosure. Fig. 12 is a schematic diagram of channel insertion loss values of a comb filter, a wavelength division multiplexer, and a target filter according to an exemplary embodiment of the present disclosure.

As shown in fig. 11, the abscissa represents the wavelength, and the conversion relationship between the wavelength λ and the frequency f is λ=c/f, where c represents the light velocity constant, and c= 299792458m/s, the ordinate represents the transmittance, and the transmittance is in inverse number relationship with the insertion loss value.

According to the definition of the insertion loss of the center wavelength in fig. 7, and in combination with the transmission spectrum of the comb filter in fig. 11, the insertion loss value corresponding to the ITU center wavelength of the comb filter can be calculated, that is, the insertion loss IL _ITU-MGTI =0.35 dB of the center wavelength of the comb filter, and the insertion loss of the center wavelength of each channel is shown in fig. 12, the corresponding wavelength values after the center wavelength drops by 3dB are 1528.49nm and 1529.07nm, respectively, and the 3dB center wavelength of the comb filter is:

λ_c-MGTI＝(1528.491+1529.07)/2＝1528.78nm；

the center wavelength accuracy of the comb filter is:

Δλ_MGTI＝1528.781-1528.773＝0.008nm＝8pm；

If converted into frequency, the accuracy of the frequency corresponding to the center wavelength of the comb filter is:

Δf_MGTI＝c/1528.781-196100＝-0.98GHz。

According to the definition of bandwidth in fig. 8, in combination with the transmission spectrum and the center wavelength insertion loss IL _ITU-MGTI =0.35 dB of the comb filter in fig. 11, the corresponding wavelength values after the center wavelength insertion loss drops by 3dB are 1528.491nm and 1529.07nm, respectively, and the corresponding wavelength values after the center wavelength insertion loss drops by 10dB are 1528.429nm and 1529.128nm, respectively, so as to calculate the 3dB bandwidth of the comb filter and the 10dB bandwidth of the comb filter as follows:

BW_3-MGTI＝c/1528.491-c/1529.07＝74.27GHz；

BW_10-MGTI＝c/1528.429-c/1529.128＝88.66GHz；

Where c represents the light velocity constant and c= 299792458m/s.

According to the definition of the isolation of the adjacent channels in fig. 9, in combination with the transmission spectrum and the insertion loss of the center wavelength of the comb filter in fig. 11, since the first channel is selected in this embodiment, the wavelength of the left adjacent channel is not selected, so only the isolation of the right adjacent channel, the insertion loss of the center wavelength of the right adjacent channel is 31.63dB, and thus the isolation of the adjacent channels of the comb filter is calculated to be AX _MGTI =31.63-0.35=31.28 dB.

According to the definition of the in-channel loss unevenness in fig. 10, in combination with the transmission spectrum of the comb filter in fig. 11, the maximum value of +/-32GHz insertion loss in the effective bandwidth of the channel is 1.51dB, the minimum value is 0.35dB, and accordingly the in-channel loss unevenness of the comb filter is:

Ripple_MGTI＝1.51-0.35＝1.16dB。

Fig. 13 is a schematic diagram of a transmission spectrum of a wavelength division multiplexer according to an exemplary embodiment of the present disclosure. Fig. 14 is a partial schematic view of a transmission spectrum of a wavelength division multiplexer according to an exemplary embodiment of the present disclosure.

As shown in fig. 13 and 14, the abscissa represents the wavelength, the ordinate represents the transmittance, and the transmittance is in inverse relation to the insertion loss value. It should be noted that although the channel interval of the wavelength division multiplexer is 150GHz, the index is analyzed at a channel interval of 75 GHz. The wavelength division multiplexer focuses on the center wavelength, the accuracy of the center wavelength, the insertion loss of the center wavelength, the unevenness of the loss in the channel and the isolation of non-adjacent channels.

From the definition of the center wavelength in fig. 7, and in combination with the transmission spectrum of the wavelength division multiplexer in fig. 13, the 3dB center wavelength of the wavelength division multiplexer is calculated as:

λ_c-AWG＝(1528.245+1529.243)/2＝1528.744nm；

The center wavelength accuracy of the wavelength division multiplexer is:

Δλ_AWG＝1528.744-1528.773＝-0.029nm＝-29pm；

If converted into frequency, the accuracy of the frequency corresponding to the center wavelength of the wavelength division multiplexer is:

Δf_AWG＝c/1528.744-196100＝3.77GHz。

The center wavelength insertion loss IL _ITU-AWG =4.54 dB of the wavelength division multiplexer, and the insertion loss of each channel of the wavelength division multiplexer is shown in fig. 12, and according to the definition of the intra-channel loss unevenness in fig. 10, in combination with the transmission spectrum of the wavelength division multiplexer in fig. 13, the intra-channel loss unevenness of the wavelength division multiplexer can be obtained as follows:

Ripple_AWG＝4.66-4.48＝0.18dB。

As described in the above embodiments, the non-adjacent channel isolation may be defined as the difference between the channel center wavelength insertion loss and the non-adjacent channel center wavelength insertion loss, and as shown in fig. 9, the non-adjacent channel isolation generally takes the minimum value of all the non-adjacent channel isolation. According to definition, the channel center wavelength insertion loss is 4.54dB, and the minimum value of the center wavelength insertion loss in all non-adjacent channels is 49.09dB, so that the isolation of the non-adjacent channels of the wavelength division multiplexing is calculated as follows: NX _AWG =49.09-4.54=44.55 dB.

Fig. 15 is a schematic view of a transmission spectrum of a target filter shown according to an exemplary embodiment of the present disclosure. Fig. 16 is a partial schematic view of a transmission spectrum of a target filter shown according to an exemplary embodiment of the present disclosure. Fig. 17 is a schematic diagram of transmission spectra of a comb filter, a wavelength division multiplexer, and a target filter, according to an exemplary embodiment of the present disclosure. Fig. 18 is a partial schematic view of transmission spectra of a comb filter, a wavelength division multiplexer, and a target filter, according to an exemplary embodiment of the present disclosure.

As shown in fig. 15 to 18, the transmission spectrum (dB) of the target filter obtained by stitching is the sum of the transmission spectrum (dB) of the comb filter and the transmission spectrum (dB) of the wavelength division multiplexer.

From the definition of the center wavelength in fig. 7, in combination with the transmission spectrum of the target filter in fig. 15, the 3dB center wavelength of the target filter can be calculated as:

λ_c-MGTT+AWG＝(1528.492+1529.061)/2＝1528.777nm；

the center wavelength accuracy of the target filter is:

Δλ_MGTT+AWG＝1528.777-1528.773＝0.004nm＝4pm；

if converted into frequency, the accuracy of the frequency corresponding to the center wavelength of the target filter is:

Δf_MGTT+AWG＝c/1528.773-196100＝0.05GHz。

According to the fact that the center wavelength of the comb filter is 1528.78nm, the center wavelength of the wavelength division multiplexer is 1528.744nm, and the center wavelength of the target filter is 1528.777nm, it can be verified that the center wavelength of the target filter is between the center wavelength of the comb filter and the center wavelength of the wavelength division multiplexer and is similar to the center wavelength of the comb filter.

According to the center wavelength accuracy of the comb filter being 8 picometers (pm), the center wavelength accuracy of the wavelength division multiplexer being-29 pm, and the center wavelength accuracy of the target filter being 4pm, it can be verified that the center wavelength accuracy of the target filter is between the center wavelength accuracy of the comb filter and the center wavelength accuracy of the wavelength division multiplexer, and is similar to the center wavelength accuracy of the comb filter.

The center wavelength insertion loss value of the target filter is 5.19dB, which is approximately equal to the sum of the center wavelength loss value of the comb filter of 0.35dB and the center wavelength loss value of the wavelength division multiplexer of 4.54dB, the measured value of 5.19dB is 0.3dB more than the theoretical calculation value of 4.89dB, and the more 0.3dB is the influence of factors such as fusion loss during optical fiber splicing.

The insertion loss of each channel of the target filter is similar to the theoretical calculation value as a whole, as shown in fig. 12. The insertion loss consistency parameter between channels of the actually measured target filter is 0.6dB, the theoretical calculation value is 0.49dB, the insertion loss consistency parameter of adjacent channels of the actually measured target filter is 0.47dB, the theoretical calculation value is 0.32dB, and although the theoretical value and the actually measured value have certain differences, the theoretical value can be used as an effective reference when a comb filter and a wavelength division multiplexer are selected.

According to the definition of the intra-channel loss unevenness in fig. 10, in combination with the transmission spectrum of the target filter in fig. 15, it is possible to obtain the intra-channel loss unevenness of the target filter as follows:

Ripple_MGTT+AWG＝6.53-5.14＝1.39dB。

According to the intra-channel loss unevenness of the comb filter being 1.16dB, the intra-channel loss unevenness of the wavelength division multiplexer being 0.18dB, the intra-channel loss unevenness of the target filter being 1.39dB, it can be verified that the intra-channel loss unevenness of the target filter is approximately equal to the sum of the intra-channel loss unevenness of the comb filter and the intra-channel loss unevenness of the wavelength division multiplexer.

From the definition of bandwidth in fig. 8, in combination with the transmission spectrum of the target filter in fig. 15, it can be calculated that the 3dB bandwidth and the 10dB bandwidth of the target filter are respectively:

BW_3-MGTT+AWG＝c/1528.492-c/1529.061＝72.99GHz；

BW_10-MGTT+AWG＝c/1528.431-c/1529.12＝88.38GHz。

According to the 3dB bandwidth of the comb filter being 74.27GHz, the 10dB bandwidth being 88.86GHz, the 3dB bandwidth of the target filter being 72.99GHz and the 10dB bandwidth being 88.38GHz, the bandwidth of the target filter can be verified to be similar to the bandwidth of the comb filter and slightly lower than the bandwidth of the comb filter.

According to the definition of the isolation of adjacent channels in fig. 9, in combination with the transmission spectrum of the comb filter in fig. 15, it can be obtained that the isolation of adjacent channels of the target filter is:

AI_MGTT+AWG＝42.89-5.19＝37.7dB。

according to the adjacent channel isolation of the comb filter being 31.28dB and the adjacent channel isolation of the target filter being 37.7dB, it can be verified that the adjacent channel isolation of the target filter is greater than the adjacent channel isolation of the comb filter.

According to the definition of the isolation between adjacent channels in fig. 9, in combination with the transmission spectrum of the comb filter in fig. 15, it can be obtained that the isolation between non-adjacent channels of the target filter is:

NI_MGTT+AWG＝49.85-5.19＝44.66dB。

according to the fact that the isolation of the non-adjacent channels of the wavelength division multiplexer is 44.55dB and the isolation of the non-adjacent channels of the target filter is 44.66dB, it can be verified that the isolation of the non-adjacent channels of the target filter is similar to the isolation of the non-adjacent channels of the wavelength division multiplexer.

Fig. 19 is a schematic structural view of a processing device of a filter according to an exemplary embodiment of the present disclosure. As shown in fig. 19, the embodiment of the present disclosure further provides a processing apparatus 600 of a filter, where the apparatus 600 may include:

a first determining module 610, configured to determine a first insertion loss interval in which the insertion loss value of the first filter to be spliced is located, and a second insertion loss interval in which the insertion loss value of the second filter to be spliced is located;

The association module 620 is configured to associate the first filter to be spliced with the second filter to be spliced when a first insertion loss interval in which the insertion loss value of the first filter to be spliced is located and a second insertion loss interval in which the insertion loss value of the second filter to be spliced is located satisfy a preset matching relationship;

In some embodiments, the apparatus further comprises:

In some embodiments, the third determination module is configured to:

Sequencing all the absolute values to obtain sequencing results;

In some embodiments, the apparatus further comprises:

A sixth determining module, configured to determine a first alternative filter, in which the first index parameter is matched with a first target index parameter, as the first filter to be spliced, and determine a second alternative filter, in which the second index parameter is matched with a second target index parameter, as the second filter to be spliced;

It should be noted that, in the embodiment of the present disclosure, if the above-mentioned processing method of the filter is implemented in the form of a software functional module, and sold or used as a separate product, the processing method may also be stored in a computer readable storage medium. Based on such understanding, the technical embodiments of the present disclosure may be embodied in essence or contributing to the prior art in the form of a software product stored in a storage medium, including instructions for causing an electronic device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the methods described in the various embodiments of the present disclosure. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read Only Memory (ROM), a magnetic disk, an optical disk, or other various media capable of storing program codes. As such, embodiments of the present disclosure are not limited to any specific combination of hardware and software.

Accordingly, an embodiment of the present disclosure provides an electronic device comprising a memory storing a computer program executable on the processor, and a processor performing the steps in the method of processing a filter of any of the above embodiments.

Accordingly, the disclosed embodiments provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps in the method of processing a filter of any of the above embodiments.

It should be noted here that: the description of the storage medium and apparatus embodiments above is similar to that of the method embodiments described above, with similar benefits as the method embodiments. For technical details not disclosed in the embodiments of the storage medium and apparatus of the present disclosure, please refer to the description of the embodiments of the method of the present disclosure for understanding.

Note that fig. 20 is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present disclosure. As shown in fig. 20, the hardware entities of the electronic device 700 include: processor 710 and memory 720, and optionally, electronic device 700 may also include a communication interface 730.

It will be appreciated that memory 720 may be volatile memory or nonvolatile memory, and may include both volatile and nonvolatile memory. Wherein the nonvolatile Memory may be Read Only Memory (ROM), programmable Read Only Memory (PROM, programmable Read-Only Memory), erasable programmable Read Only Memory (EPROM, erasable Programmable Read-Only Memory), electrically erasable programmable Read Only Memory (EEPROM, ELECTRICALLY ERASABLE PROGRAMMABLE READ-Only Memory), magnetic random access Memory (FRAM, ferromagnetic random access Memory), flash Memory (Flash Memory), magnetic surface Memory, optical disk, or compact disk-Only Memory (CD-ROM, compact Disc Read-Only Memory); the magnetic surface memory may be a disk memory or a tape memory. The volatile memory may be random access memory (RAM, random Access Memory) which acts as external cache memory. By way of example, and not limitation, many forms of RAM are available, such as static random access memory (SRAM, static Random Access Memory), synchronous static random access memory (SSRAM, synchronous Static Random Access Memory), dynamic random access memory (DRAM, dynamic Random Access Memory), synchronous dynamic random access memory (SDRAM, synchronous Dynamic Random Access Memory), double data rate synchronous dynamic random access memory (ddr SDRAM, double Data Rate Synchronous Dynamic Random Access Memory), enhanced synchronous dynamic random access memory (ESDRAM, enhanced Synchronous Dynamic Random Access Memory), synchronous link dynamic random access memory (SLDRAM, syncLink Dynamic Random Access Memory), direct memory bus random access memory (DRRAM, direct Rambus Random Access Memory). The memory 720 described in the embodiments of the present disclosure is intended to comprise, without being limited to, these and any other suitable types of memory.

The methods disclosed in the embodiments of the present disclosure may be applied to the processor 710 or implemented by the processor 710. Processor 710 may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the methods described above may be performed by integrated logic circuitry in hardware or instructions in software in processor 710. The Processor 710 may be a general purpose Processor, a digital signal Processor (DSP, digital Signal Processor), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. Processor 710 may implement or perform the methods, steps, and logic blocks disclosed in embodiments of the present disclosure. The general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present disclosure may be embodied directly in hardware, in a decoded processor, or in a combination of hardware and software modules in the decoded processor. The software modules may be located in a storage medium in memory 720. Processor 710 reads information in memory 720 and, in combination with its hardware, performs the steps of the methods described above.

In an exemplary embodiment, the electronic device may be implemented by one or more Application Specific Integrated Circuits (ASICs), DSPs, programmable logic devices (PLDs, programmable Logic Device), complex Programmable logic devices (CPLDs, complex Programmable Logic Device), field-Programmable gate arrays (FPGAs), general purpose processors, controllers, microcontrollers (MCUs, micro Controller Unit), microprocessors (microprocessors), or other electronic elements for performing the foregoing methods.

In several embodiments provided in the present disclosure, it should be understood that the disclosed methods and apparatus may be implemented in other manners. The above-described embodiment of the apparatus is merely illustrative, and for example, the division of the units is merely a logic function division, and there may be other division manners in actual implementation, such as: multiple units or components may be combined or may be integrated into another observational quantity or some features may be omitted or not performed. In addition, the various components shown or discussed may be connected in an indirect coupling or communication via interfaces, devices, or units, which may be electrical, mechanical, or other forms.

The units described as separate units may or may not be physically separate, and units displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units; some or all of the units may be selected according to actual needs to achieve the object of the present embodiment.

Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a magnetic disk or an optical disk, or the like, which can store program codes.

Or the integrated units described above in the embodiments of the present disclosure may be stored in a computer-readable storage medium if implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the technical embodiments of the present disclosure may be embodied in essence or contributing to the prior art in the form of a software product stored in a storage medium, including instructions for causing an electronic device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the methods described in the various embodiments of the present disclosure. And the aforementioned storage medium includes: various media capable of storing program codes, such as a removable storage device, a ROM, a magnetic disk, or an optical disk.

The processing method, apparatus, device and computer storage medium of the filter described in the examples are only examples of the embodiments of the disclosure, but not limited thereto, and the processing method, apparatus, device and computer storage medium of the filter are all within the scope of the disclosure.

It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in various embodiments of the present disclosure, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by their functions and internal logic, and should not constitute any limitation on the implementation of the embodiments of the present disclosure. The foregoing embodiment numbers of the present disclosure are merely for description and do not represent advantages or disadvantages of the embodiments.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The foregoing is merely an embodiment of the present disclosure, but the protection scope of the present disclosure is not limited thereto, and any person skilled in the art can easily think about the changes or substitutions within the technical scope of the present disclosure, and should be covered by the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.

Claims

1. A method of processing a filter, the method comprising:

2. The method according to claim 1, wherein the method further comprises:

3. The method according to claim 1, wherein the method further comprises:

4. The method of claim 3, wherein the determining the target insertion loss value for the target filter based on the correlated insertion loss value for the first filter to be spliced and the second filter to be spliced comprises:

5. The method of claim 3, wherein the insertion loss consistency parameter comprises: inserting loss consistency parameters of adjacent channels; the determining the insertion loss consistency parameter of the target filter based on the target insertion loss value comprises the following steps:

Sequencing all the absolute values to obtain sequencing results;

6. The method of claim 3, wherein the insertion loss consistency parameter comprises: the channel insertion loss consistency parameter; the determining the insertion loss consistency parameter of the target filter based on the target insertion loss value comprises the following steps:

7. The method according to claim 1, wherein the method further comprises:

8. The method of claim 7, wherein the first index parameter comprises: center wavelength, bandwidth, adjacent channel isolation; the determining the first candidate filter, which matches the first index parameter with the first target index parameter, as the first filter to be spliced includes:

9. The method of claim 7, wherein the second index parameter comprises: non-adjacent channel isolation; the determining the second candidate filter, which matches the second index parameter with the second target index parameter, as the second filter to be spliced, includes:

Determining an isolation difference between a non-adjacent channel isolation of the second alternative filter and a target non-adjacent channel isolation;

10. The method according to any one of claims 1 to 9, wherein the first filter to be spliced comprises: the comb filter, the second filter to be spliced includes: a wavelength division multiplexer; the target filter is obtained by splicing one comb filter and two wavelength division multiplexers.

11. A filter processing apparatus, the apparatus comprising:

12. An electronic device comprising a memory and a processor, the memory storing a computer program executable on the processor, characterized in that the processor implements the steps of the method of any one of claims 1 to 10 when the program is executed.

13. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 10.