CN117938247A - Signal transmission performance evaluation method and system based on single-fiber four-way optical component - Google Patents

Abstract

The embodiment of the application provides a signal transmission performance evaluation method and system based on a single-fiber four-way optical component. Wherein, confirm a plurality of initial assessment indexes used for assessing the signal transmission performance of the single-fiber four-way optical assembly; screening target evaluation indexes from a plurality of initial evaluation indexes under at least one experimental condition, and acquiring experimental data of the target evaluation indexes under the at least one experimental condition, wherein the target evaluation indexes are initial evaluation indexes which meet a set condition on an important value of a performance evaluation result; and determining a performance evaluation result of the signal transmission performance of the single-fiber four-way optical component according to experimental data of the target evaluation index under at least one experimental condition. The technical scheme provided by the embodiment of the application can improve the accuracy of the performance evaluation result of the signal transmission performance of the single-fiber four-way optical component.

Description

Signal transmission performance evaluation method and system based on single-fiber four-way optical component

Technical Field

The embodiment of the application relates to the technical field of optical communication, in particular to a signal transmission performance evaluation method and system based on a single-fiber four-way optical component.

Background

The single-fiber four-way optical module is an important optical device used in an optical communication system, can divide an input optical signal into four output optical signals, and has an efficient optical signal transmission function. The single-fiber four-way optical component can realize multichannel transmission and multiplexing of optical signals, and is widely applied to the fields of optical fiber communication, optical networks and the like.

Currently, there are some evaluation schemes for evaluating signal transmission performance of a single-fiber four-way optical component. These schemes typically use some basic performance criteria such as insertion loss, uniformity, polarization dependence, etc. to evaluate the performance of the component. These indices may be obtained by experimental measurements or by analog calculations.

However, the existing evaluation scheme may cause a problem that the accuracy of the performance evaluation result is low by only collecting some basic performance indexes to evaluate the performance of the component.

Disclosure of Invention

The embodiment of the application provides a signal transmission performance evaluation method and system based on a single-fiber four-way optical component, which are used for solving the problem of low accuracy of a signal transmission performance evaluation result in the prior art.

In a first aspect, an embodiment of the present application provides a signal transmission performance evaluation method based on a single-fiber four-way optical component, including:

determining a plurality of initial evaluation indexes for evaluating signal transmission performance of the single-fiber four-way optical component;

Screening target evaluation indexes from a plurality of initial evaluation indexes under at least one experimental condition, and acquiring experimental data of the target evaluation indexes under the at least one experimental condition, wherein the target evaluation indexes are initial evaluation indexes which meet a set condition on an important value of a performance evaluation result;

And determining a performance evaluation result of the signal transmission performance of the single-fiber four-way optical component according to experimental data of the target evaluation index under at least one experimental condition.

Optionally, the screening the target evaluation index from the plurality of initial evaluation indexes under at least one experimental condition includes:

Collecting experimental data corresponding to a plurality of initial evaluation indexes under at least one experimental condition;

Performing performance difference judgment on experimental data corresponding to the plurality of initial evaluation indexes to determine an important value of each initial evaluation index on the performance evaluation result;

and determining an initial evaluation index of which the important value meets a set condition as a target evaluation index.

Optionally, the performance difference judging is performed on experimental data corresponding to the plurality of initial evaluation indexes to determine an important value of each initial evaluation index on the performance evaluation result, including:

Preprocessing experimental data corresponding to each initial evaluation index to obtain preprocessed experimental data;

calculating the correlation between the preprocessed experimental data and the performance evaluation result to determine the linear or nonlinear relation between the initial evaluation index corresponding to the preprocessed experimental data and the performance evaluation result;

screening the data characteristics of the preprocessed experimental data, and determining the influence degree of the corresponding initial evaluation index on the performance evaluation result according to the data characteristics of each experimental data;

Determining an initial evaluation index with the influence degree meeting a set condition as a high-contribution initial evaluation index, and checking the significance of the high-contribution initial evaluation index;

And determining an important value of the initial evaluation index on the performance evaluation result according to the linear or nonlinear relation between the initial evaluation index and the performance evaluation result, the influence degree of the initial evaluation index on the performance evaluation result and the significance of the initial evaluation index with high contribution.

Optionally, when the plurality of initial evaluation indexes at least include signal transmission loss, bit error rate, transmission bandwidth, signal distortion and other evaluation indexes, and the determined target evaluation indexes at least include one or a combination of any several of signal transmission loss, bit error rate, transmission bandwidth and signal distortion, determining a performance evaluation result of the signal transmission performance of the single-fiber four-way optical component according to the experimental data of the target evaluation indexes under at least one experimental condition, where the performance evaluation result includes:

And carrying experimental data of the target evaluation index under at least one experimental condition into a calculation formula of the target evaluation index to determine a performance evaluation result of the signal transmission performance of the single-fiber four-way optical component.

Optionally, the calculation formula of the signal transmission loss includes: l=10log 10 (Pi/Po) +da—mf;

Wherein L is denoted as signal transmission loss, pi is denoted as optical power input, po is denoted as optical power output, D is denoted as transmission distance, a is denoted as attenuation coefficient, M is denoted as signal modulation depth, and F is denoted as modulation loss factor;

the calculation formula of the error rate comprises: ber= (E/N) × (1/(1+ (SNR/10)/(NF)));

Wherein BER is expressed as bit error rate, which is the ratio of the number of error bits to the total number of transmission bits in the transmission process; e is expressed as the number of error bits, and refers to the number of bits in which an error occurs in the transmission process; n is expressed as the total number of transmitted bits, and refers to the total number of transmitted bits; SNR is expressed as signal-to-noise ratio, which refers to the power ratio of signal to noise; NF is expressed as a noise figure, which refers to the ratio of the power of noise to the signal power;

The calculation formula of the transmission bandwidth comprises: transmission bandwidth= (2 pi f P a)/(BER TER);

The transmission bandwidth is represented as the bandwidth of signal transmission, and refers to the data quantity transmitted in a set time; 2 pi is expressed as a constant and refers to a multiple of the circumference ratio; f is denoted as frequency, which refers to the frequency of the signal; p is denoted as average optical power, meaning the average optical power of the signal; alpha is expressed as a linear loss factor, and refers to the linear loss of an optical signal in the transmission process; BER is expressed as bit error rate of signal transmission, and refers to the ratio of the number of error bits to the total number of transmission bits in the transmission process; TER is expressed as a threshold error rate, and refers to the ratio of the number of bits determined to be erroneous in the transmission process to the total number of transmission bits;

The calculation formula of the signal distortion comprises: signal distortion = amplitude distortion + phase distortion + frequency distortion + correlation distortion + noise distortion;

Wherein the amplitude distortion is expressed as describing the amplitude variation of the signal during transmission; phase distortion is expressed as representing the phase change of a signal during transmission; frequency distortion is expressed as a change in the frequency content of a signal during transmission; correlation distortion is expressed as a change in correlation of a signal during transmission; noise distortion is expressed as describing the noise interference experienced by a signal during transmission.

Optionally, the step of bringing the experimental data of the target evaluation index under at least one experimental condition into a calculation formula of the target evaluation index to determine a performance evaluation result of the signal transmission performance of the single-fiber four-way optical assembly includes:

A calculation formula corresponding to each target evaluation index is established simultaneously, and a performance evaluation result is calculated;

In the case that the target evaluation index includes a combination of signal transmission loss, bit error rate, transmission bandwidth, and signal distortion, the calculating formula corresponding to each of the target evaluation indexes is combined, and calculating the performance evaluation result includes: by the formula: the performance evaluation result= (signal transmission loss coefficient, signal transmission loss+ber coefficient, ber+transmission bandwidth coefficient, transmission bandwidth)/(signal distortion coefficient, signal distortion) is calculated;

The signal transmission loss coefficient is used for adjusting the importance of signal transmission loss in performance evaluation, wherein the signal transmission loss is expressed as the loss of a signal in the transmission process; the BER coefficient is used for adjusting the importance of BER in performance evaluation, wherein the BER is expressed as a signal transmission error rate and refers to the ratio of the number of error bits to the total number of transmission bits in the transmission process; the transmission bandwidth coefficient is used for adjusting the importance of the transmission bandwidth in performance evaluation, and the transmission bandwidth is expressed as the bandwidth of signal transmission and refers to the data quantity transmitted in a set time; the signal distortion coefficients are used to adjust the importance of signal distortion in performance assessment, which is expressed as amplitude distortion, phase distortion and shape distortion of the signal during transmission.

Optionally, before determining the performance evaluation result of the signal transmission performance of the single-fiber four-way optical assembly according to the experimental data of the target evaluation index under at least one experimental condition, the method further includes:

Performing dispersion correction and nonlinear effect compensation on experimental data of the target evaluation index under at least one experimental condition to obtain experimental data of the target evaluation index after correction and compensation under the at least one experimental condition;

the performing dispersion correction and nonlinear effect compensation on the experimental data of the target evaluation index under at least one experimental condition to obtain the corrected and compensated experimental data of the target evaluation index under at least one experimental condition includes:

By the formula: e (z+Δz) =e (z) exp (i (β2/2) Δz (d ²/dz²)|E(z)|² +iγp (z) Δz), performing dispersion correction and nonlinear effect compensation on experimental data of the target evaluation index under at least one experimental condition;

Wherein E (z) is expressed as the electric field amplitude of the optical signal at the transmission distance z, E (z+Δz) is expressed as the electric field amplitude after the transmission distance z+Δz, Δz is expressed as the increment of the transmission distance, and β2 is expressed as a second-order dispersion parameter, describing the dispersion effect of the optical signal during propagation in the optical fiber; d ²/dz²|E(z)|² is expressed as the second derivative of the optical signal intensity with respect to the transmission distance z, describing the effect of the amplitude variation of the optical signal on the dispersion effect of the optical signal, and γ is expressed as the nonlinear coefficient, describing the intensity of the nonlinear effect in the optical fiber; p (z) is expressed as the power of the optical signal at the transmission distance z, describing the power variation of the optical signal during transmission.

In a second aspect, an embodiment of the present application provides a signal transmission performance evaluation system based on a single-fiber four-way optical component, including:

a determining module for determining a plurality of initial evaluation indexes for evaluating signal transmission performance of the single-fiber four-way optical assembly;

the acquisition module is used for screening out target evaluation indexes from a plurality of initial evaluation indexes under at least one experimental condition and acquiring experimental data of the target evaluation indexes under the at least one experimental condition, wherein the target evaluation indexes are initial evaluation indexes which meet a set condition on an important value of a performance evaluation result;

And the evaluation module is used for determining a performance evaluation result of the signal transmission performance of the single-fiber four-way optical component according to experimental data of the target evaluation index under at least one experimental condition.

In a third aspect, embodiments of the present application provide a computing device, comprising a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are configured to be invoked and executed by the processing component to implement the signal transmission performance evaluation method based on the single-fiber four-way optical component according to the first aspect.

In a fourth aspect, an embodiment of the present application provides a computer storage medium storing a computer program, where the computer program is executed by a computer to implement a signal transmission performance evaluation method based on a single-fiber four-way optical component according to the first aspect.

In the embodiment of the application, a plurality of initial evaluation indexes for evaluating the signal transmission performance of the single-fiber four-way optical component are determined; screening target evaluation indexes from a plurality of initial evaluation indexes under at least one experimental condition, and acquiring experimental data of the target evaluation indexes under the at least one experimental condition, wherein the target evaluation indexes are initial evaluation indexes which meet a set condition on an important value of a performance evaluation result; and determining a performance evaluation result of the signal transmission performance of the single-fiber four-way optical component according to experimental data of the target evaluation index under at least one experimental condition. The technical scheme provided by the embodiment of the application can improve the accuracy of the performance evaluation result of the signal transmission performance of the single-fiber four-way optical component.

These and other aspects of the application will be more readily apparent from the following description of the embodiments.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a flowchart of a signal transmission performance evaluation method based on a single-fiber four-way optical component according to an embodiment of the present application;

FIG. 2 is a flowchart of a method for determining importance values according to an embodiment of the present application;

FIG. 3 is a schematic structural diagram of an embodiment of a signal transmission performance evaluation system based on a single-fiber four-way optical module according to the present application;

Fig. 4 is a schematic structural diagram of a computing device according to the present application.

Detailed Description

In order to enable those skilled in the art to better understand the present application, the following description will make clear and complete descriptions of the technical solutions according to the embodiments of the present application with reference to the accompanying drawings.

In some of the flows described in the specification and claims of the present application and in the foregoing figures, a plurality of operations occurring in a particular order are included, but it should be understood that the operations may be performed out of order or performed in parallel, the order of operations being 102, etc., merely for distinguishing between the various operations, the order of the operations itself not representing any order of execution. In addition, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first" and "second" herein are used to distinguish different messages, devices, modules, etc., and do not represent a sequence, and are not limited to the "first" and the "second" being different types.

The technical scheme of the embodiment of the application is mainly applied to an optical communication system, in particular to a scene of multichannel transmission and optical signal multiplexing. For example, in optical fiber communication, a single-fiber four-way optical module can be used for realizing simultaneous transmission of a plurality of signals, thereby improving transmission efficiency and bandwidth utilization. In an optical network, the single-fiber four-way optical component can be used for realizing distribution and routing of optical signals and flexible network configuration and management.

In these application scenarios, signal transmission performance evaluation of the single-fiber four-way optical component is crucial to ensure stable operation and high quality transmission of the optical communication system. Therefore, an accurate, reliable and comprehensive evaluation method is needed to evaluate the signal transmission performance of the single-fiber four-way optical component to guide the selection and optimization in practical application.

In the current signal transmission performance evaluation schemes for single-fiber four-way optical components, performance indexes of some single-fiber four-way optical components, such as insertion loss, uniformity, polarization correlation and the like, are generally collected, and the performance of the components is evaluated through the performance indexes. However, such a scheme, which evaluates the performance of the component by collecting only some basic performance indexes, causes a problem in that the accuracy of the performance evaluation result is low.

In order to solve the above problems, an embodiment of the present application provides a signal transmission performance evaluation method based on a single-fiber four-way optical component, which specifically includes: determining a plurality of initial evaluation indexes for evaluating signal transmission performance of the single-fiber four-way optical component; screening target evaluation indexes from a plurality of initial evaluation indexes under at least one experimental condition, and acquiring experimental data of the target evaluation indexes under the at least one experimental condition, wherein the target evaluation indexes are initial evaluation indexes which meet a set condition on an important value of a performance evaluation result; and determining a performance evaluation result of the signal transmission performance of the single-fiber four-way optical component according to experimental data of the target evaluation index under at least one experimental condition.

In the method, the influence of the performance indexes on the signal transmission performance can be comprehensively considered by determining the initial evaluation indexes and screening the target evaluation indexes, so that the performance of the single-fiber four-way optical component can be more comprehensively evaluated. By acquiring experimental data of the target evaluation index under the experimental condition, the method can provide a more accurate performance evaluation result so as to meet the requirement of an important value under the set condition. Based on the experimental data, reliable performance evaluation results can be provided, and differences between theory and practice are reduced. The evaluation method is suitable for evaluating the signal transmission performance of the single-fiber four-way optical component, and can provide reference basis for performance optimization and decision in practical application.

The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to fall within the scope of the application.

Fig. 1 is a flowchart of a signal transmission performance evaluation method based on a single-fiber four-way optical assembly according to an embodiment of the present application, where, as shown in fig. 1, the method is applied to an electronic device, and the electronic device has a connection relationship with an experimental device and an optical device (such as a light source, an optical fiber, an optical power meter, a spectrometer, etc.), so as to obtain experimental data of an evaluation index under at least one experimental condition.

Specifically, in the execution process of the electronic device, an input optical signal needs to be transmitted through the single-fiber four-way optical component, experimental data of an evaluation index under at least one experimental condition is measured through experimental devices such as an optical power meter or a spectrometer and an optical device, and after the experimental data is collected, data analysis and evaluation are performed to obtain a performance evaluation result of the single-fiber four-way optical component.

Optionally, the method specifically includes:

102. determining a plurality of initial evaluation indexes for evaluating signal transmission performance of the single-fiber four-way optical component;

In this step, a plurality of initial evaluation indexes need to be determined before signal transmission performance evaluation of the single-fiber four-way optical component is performed. These metrics are used to measure the performance of the component during signal transmission and can be obtained by experimental measurements or by analog calculations. These evaluation metrics may provide quantitative and qualitative information about component performance, including signal transmission loss, bit error rate, transmission bandwidth, signal distortion, transmission efficiency, signal-to-noise ratio, etc.

In the embodiment of the present application, optionally, the specific steps of step 102 are as follows:

firstly, according to the characteristics and application requirements of the single-fiber four-way optical component, an evaluation index is determined. These evaluation metrics can fully reflect the performance of the component during signal transmission, for example, the evaluation metrics can include, but are not limited to, signal transmission loss, bit error rate, transmission bandwidth, signal distortion, transmission efficiency, signal-to-noise ratio, etc.

And secondly, determining a calculation or measurement method of the evaluation index according to the existing theoretical model or actual application condition. For some common evaluation indexes, such as insertion loss, uniformity, polarization dependence, etc., can be obtained by experimental measurement. For some complex evaluation indexes, such as transmission efficiency, signal distortion, etc., analog calculation or establishment of a corresponding mathematical model may be required.

Further, according to the calculation or measurement method of the evaluation index, experiment or simulation calculation is performed to obtain the initial result of the evaluation index.

And finally, analyzing and evaluating the initial evaluation index according to the initial result of the evaluation index. If the result meets the expectations, the result can be used as an initial evaluation index; if the results do not meet the expectations, it may be necessary to readjust the evaluation index or to optimize the method of experimental or analog calculation.

It should be noted that determining the evaluation index is a comprehensive consideration process, and needs to be selected and adjusted in combination with specific system requirements, application scenarios and actual test results. Different applications may have different emphasis and considerations, so that the determination of the evaluation index needs to be performed according to the specific situation.

104. Screening target evaluation indexes from a plurality of initial evaluation indexes under at least one experimental condition, and acquiring experimental data of the target evaluation indexes under at least one experimental condition;

In this step, the target evaluation index refers to an initial evaluation index that satisfies a set condition for an important value of the performance evaluation result, and it can be understood that, for a value that is very important for the performance evaluation result, it satisfies a preset condition, which can be used to determine the performance quality of the component.

In an embodiment of the present application, step 104 may optionally include the following processes:

firstly, setting preset conditions of performance evaluation results according to actual requirements and application scenes. For example, for insertion loss, a maximum allowable loss value of 3dB is set; for uniformity, a maximum allowable power difference value of 1dB is set, while the importance value for the present application also requires a minimum importance value to be set.

Next, a target evaluation index related to the set condition is selected from the plurality of initial evaluation indexes determined in step 102. According to the setting conditions, those indexes which are very important for the performance evaluation result and satisfy the setting conditions are selected as target evaluation indexes. For example, in the insertion loss and the uniformity, the insertion loss is selected as the target evaluation index.

Further, under at least one experimental condition, experimental data of the target evaluation index is obtained through experimental or analog calculation. In the experiment, experimental conditions and parameters are set according to the set conditions, for example, different input optical powers or optical frequencies are used, and then experimental data of the target evaluation index is measured. In the simulation calculation, corresponding parameters and conditions are input according to set conditions, calculation is performed, and the numerical value of the target evaluation index is obtained.

And finally, analyzing and evaluating the target evaluation index according to the experimental data. Comparing the experimental data with the set conditions, and judging whether the target evaluation index meets the preset conditions. If the condition is satisfied, the index can be determined to be a target evaluation index; if the condition is not met, it may be necessary to reset the condition or to reselect the evaluation index.

For example, assume that the performance of a single fiber four-way optical assembly is to be evaluated and the following conditions are set: the insertion loss is not more than 3dB, and the uniformity power difference is not more than 1dB.

From the initial evaluation index determined in step 102, insertion loss and uniformity are screened out as target evaluation indexes.

In experiments, different input optical power and frequency conditions were set, for example, 10dBm and 20dBm for input optical power, and 1GHz and 10GHz for frequency. Then, experimental data of insertion loss and uniformity were measured by experiments. The insertion loss obtained was experimentally measured assuming an input optical power of 10 dBm.

106. And determining a performance evaluation result of the signal transmission performance of the single-fiber four-way optical component according to experimental data of the target evaluation index under at least one experimental condition.

In the embodiment of the present application, according to the experimental data of the target evaluation index under at least one experimental condition obtained in step 104, the determination of the performance evaluation result may be performed.

For example, experimental data of insertion loss and uniformity were obtained under experimental conditions. Assuming experimental data shows an insertion loss of 2dB, the uniformity power difference is 0.8dB. According to the set condition, the insertion loss is not more than 3dB, the uniformity power difference is not more than 1dB, and the following performance evaluation result can be obtained:

Insertion loss evaluation: the actual insertion loss is 2dB and is lower than the set maximum allowable loss value of 3dB, so that the single-fiber four-way optical component has lower loss and good performance in the signal transmission process.

Uniformity evaluation: the actual uniformity power difference is 0.8dB and is lower than the set maximum allowable power difference value of 1dB, so that the single-fiber four-way optical component has better uniformity, more uniform output power distribution and better performance in the signal transmission process.

From the above evaluation, it can be determined that the signal transmission performance of the single-fiber four-way optical component is good.

Optionally, the process of "screening the target evaluation index from the plurality of initial evaluation indexes under at least one experimental condition" in step 104 may include:

1041. collecting experimental data corresponding to a plurality of initial evaluation indexes under at least one experimental condition;

In this step, at least one experimental condition needs to be set and an experiment is performed to collect relevant experimental data. The experimental data should include data related to the initial evaluation index such as insertion loss, uniformity, transmission rate, signal transmission loss, bit error rate, transmission bandwidth, signal distortion, etc.

For example, a series of experiments were performed under one experimental condition, and experimental data of insertion loss and uniformity of a single-fiber four-way optical module were collected. Wherein the experimental data of the insertion loss comprise different values of 2dB, 2.5dB, 3dB and the like; the experimental data of the uniformity include different values of 0.8dB, 1dB, 1.2dB, etc.

After step 1041, further comprising: preprocessing experimental data corresponding to each initial evaluation index to obtain preprocessed experimental data;

In this step, the pretreatment is to process and transform experimental data for better performance evaluation and analysis. The following are the steps that the pretreatment process may include:

data cleaning: checking whether the experimental data has abnormal value or missing value, and performing corresponding processing. For example, outliers may be deleted or missing values may be filled in using interpolation methods.

Smoothing data: the experimental data was smoothed to reduce the effects of noise and fluctuations. Common smoothing methods include moving averages, weighted averages, and the like.

Data normalization: and (3) carrying out standardization treatment on the experimental data so that the comparability among different indexes is achieved. Common normalization methods include maximum-minimum scaling, Z-score normalization, and the like.

Data conversion: and converting the experimental data to meet the requirement of performance evaluation. For example, logarithmic conversion, power conversion, and the like may be performed.

Data normalization: the experimental data is scaled to a specific range to eliminate the effects of different data magnitudes. Common normalization methods include maximum-minimum normalization, Z-score normalization, and the like.

Feature selection: key features relevant to performance assessment are selected according to experimental objectives and requirements. Feature selection may be performed using statistical methods, correlation analysis, and the like.

The above are some of the steps that the pretreatment process may include. The specific pretreatment methods and steps will vary depending on the nature of the experimental data and the requirements of the performance evaluation.

1042. Performing performance difference judgment on experimental data corresponding to the plurality of initial evaluation indexes to determine an important value of each initial evaluation index on the performance evaluation result;

in this step, the collected experimental data needs to be analyzed and compared to determine the performance differences between the experimental data corresponding to different initial evaluation indexes.

For example, performance variance determination is performed on experimental data of the collected insertion loss and uniformity. The differences between the different insertion loss data, e.g. between 2dB and 3dB, and the differences between the different uniformity data, e.g. between 0.8dB and 1.2dB, are compared.

1043. And determining an initial evaluation index of which the important value meets a set condition as a target evaluation index.

In this step, according to the result of the performance difference judgment, an initial evaluation index conforming to the set condition is selected as a target evaluation index.

According to the result of the performance difference judgment, if the data with the insertion loss of 2dB is found to be more stable, and the data with the uniformity of 1dB is found to be more stable, and the set evaluation conditions are met, the insertion loss and the uniformity can be used as target evaluation indexes.

Optionally, fig. 2 is a flowchart of a method for determining an importance value according to an embodiment of the present application, as shown in fig. 2, the step 1042 may specifically include:

1042a, preprocessing the experimental data corresponding to each initial evaluation index to obtain preprocessed experimental data;

In this step, the experimental data corresponding to each initial evaluation index needs to be preprocessed. For example, if the initial evaluation index is the loss of the optical fiber, the experimental data may be smoothed to reduce the effects of noise; if the initial evaluation index is the dispersion of the optical fiber, the experimental data can be normalized to eliminate the influence caused by the different magnitudes.

1042B, calculating the correlation between the preprocessed experimental data and the performance evaluation result to determine the linear or nonlinear relationship between the initial evaluation index corresponding to the preprocessed experimental data and the performance evaluation result;

In this step, it is necessary to calculate the correlation between the experimental data after the pretreatment and the performance evaluation result. Statistical methods, such as Pearson correlation coefficients or Spearman correlation coefficients, may be used to determine the linear or nonlinear relationship between them.

1042C, screening the data characteristics of the preprocessed experimental data, and determining the influence degree of the corresponding initial evaluation index on the performance evaluation result according to the data characteristics of each experimental data;

in this step, it is necessary to screen the key features of the experimental data after the pretreatment, and determine the degree of influence thereof on the performance evaluation result according to the data features of each experimental data. For example, a feature selection method such as principal component analysis or correlation analysis may be used to identify the features that have the most influence on the performance evaluation result.

1042D, determining an initial evaluation index with the influence degree meeting a set condition as a high-contribution initial evaluation index, and checking the significance of the high-contribution initial evaluation index;

In this step, it is necessary to determine, according to the magnitude of the degree of influence and the set condition, an index that satisfies the initial evaluation index of the condition as a high contribution, and to perform a significance check to ensure the importance and reliability thereof in performance evaluation. For example, hypothesis testing methods, such as t-test or anova, may be used to verify the significance of the high contribution index.

1042E, determining an important value of the initial evaluation index on the performance evaluation result according to a linear or nonlinear relation between the initial evaluation index and the performance evaluation result, the influence degree of the initial evaluation index on the performance evaluation result and the significance of the initial evaluation index with high contribution.

In the step, the relation, the influence degree and the significance of the initial evaluation index and the performance evaluation result are comprehensively considered, and the important value of the initial evaluation index on the performance evaluation result is determined. And weighting each initial evaluation index by a weight assignment method to obtain a final important value.

Optionally, in the case that the plurality of initial evaluation indexes include at least one or a combination of any of signal transmission loss, bit error rate, transmission bandwidth, signal distortion and other evaluation indexes, the step 106 may specifically include: and carrying experimental data of the target evaluation index under at least one experimental condition into a calculation formula of the target evaluation index to determine a performance evaluation result of the signal transmission performance of the single-fiber four-way optical component.

Substituting experimental data of the target evaluation index under at least one experimental condition into a calculation formula of the corresponding target evaluation index to determine a performance evaluation result of the signal transmission performance of the single-fiber four-way optical component. If the target evaluation index includes a plurality of target evaluation indexes, calculating a performance evaluation result by combining calculation formulas corresponding to each target evaluation index.

It should be noted that the experimental data of the obtained target evaluation index does not refer to the experimental data of the target evaluation index itself, but refers to the experimental data of the related parameters that can be directly obtained. For example, experimental data of signal transmission loss under at least one experimental condition is acquired, and experimental data of parameters related to signal transmission loss, such as optical power input, optical power output, etc., may be acquired.

Optionally, the calculation formula of the signal transmission loss includes: l=10log 10 (Pi/Po) +da—mf;

Wherein L is denoted as signal transmission loss, pi is denoted as optical power input, po is denoted as optical power output, D is denoted as transmission distance, a is denoted as attenuation coefficient, M is denoted as signal modulation depth, and F is denoted as modulation loss factor;

In the above formula, pi and Po are optical power input and output, which can be measured by an optical power meter or the like. Pi represents the optical power input to the single-fiber four-way optical module, and Po represents the optical power output from the single-fiber four-way optical module. D is the transmission distance, which represents the distance that the signal travels in the fiber, and may be obtained by measuring the length of the fiber or by other methods. A is an attenuation coefficient representing the attenuation of the optical signal during transmission, which may be obtained by measuring the loss of the optical fiber or by other methods. M is the signal modulation depth, representing the degree of modulation of the signal, which may be obtained by measuring the modulation amplitude of the signal or by other methods. F is the modulation loss factor, which represents the extra loss in the signal modulation process, which can be measured or obtained by other methods.

The source of these parameters may be obtained by experimental measurements, theoretical calculations, or other means. The particular source may vary from one practical situation to another and from one demand to another.

Optionally, the calculation formula of the error rate includes: ber= (E/N) × (1/(1+ (SNR/10)/(NF)));

Wherein BER is expressed as bit error rate, which is the ratio of the number of error bits to the total number of transmission bits in the transmission process; e is expressed as the number of error bits, and refers to the number of bits in which an error occurs in the transmission process; n is expressed as the total number of transmitted bits, and refers to the total number of transmitted bits; SNR is expressed as signal-to-noise ratio, which refers to the power ratio of signal to noise; NF is expressed as a noise figure, which refers to the ratio of the power of noise to the signal power;

in the above formula, E and N can be obtained by error statistics during transmission. E represents the number of bits in which an error occurs, which can be calculated by the error detection and correction mechanism at the receiving end. N represents the total number of transmission bits, which can be obtained by the number of bits transmitted by the transmitting end. SNR is the signal-to-noise ratio that can be calculated by measuring the power of the signal and the power of the noise. The signal power may be obtained by an instrument measurement such as an optical power meter, while the noise power may be obtained by measuring the noise level in the environment or other methods. NF is the noise figure, which can be calculated by measuring the power of the noise and the power of the signal. The noise power may be obtained by measuring the noise level in the environment or by other means, and the signal power may be obtained by measuring with an instrument such as an optical power meter.

The sources of the above parameters may be obtained by experimental measurements, theoretical calculations or other means. The particular source may vary from one practical situation to another and from one demand to another.

Optionally, the calculation formula of the transmission bandwidth includes: transmission bandwidth= (2 pi f P a)/(BER TER);

The transmission bandwidth is represented as the bandwidth of signal transmission, and refers to the data quantity transmitted in a set time; 2 pi is expressed as a constant and refers to a multiple of the circumference ratio; f is denoted as frequency, which refers to the frequency of the signal; p is denoted as average optical power, meaning the average optical power of the signal; alpha is expressed as a linear loss factor, and refers to the linear loss of an optical signal in the transmission process; BER is expressed as bit error rate of signal transmission, and refers to the ratio of the number of error bits to the total number of transmission bits in the transmission process; TER is expressed as a threshold error rate, and refers to the ratio of the number of bits determined to be erroneous in the transmission process to the total number of transmission bits;

In the above formula, f represents the frequency of the signal, which can be obtained by setting or measuring the frequency of the signal source. P represents the average optical power, which can be measured by an optical power meter or the like. Alpha represents a linear loss factor, which can be calculated by measuring the loss characteristics of the optical fiber or from the specification and length of the optical fiber. BER represents the bit error rate of signal transmission and can be obtained by experimental measurement or theoretical calculation according to a channel model and transmission parameters. TER represents a threshold error rate, typically a threshold set according to specific application requirements and system requirements.

The sources of the above parameters may be obtained by experimental measurements, theoretical calculations, or according to system specifications and equipment parameters. The particular source may vary from one practical situation to another and from one demand to another.

Optionally, the calculation formula of the signal distortion includes: signal distortion = amplitude distortion + phase distortion + frequency distortion + correlation distortion + noise distortion;

Wherein the amplitude distortion is expressed as describing the amplitude variation of the signal during transmission; phase distortion is expressed as representing the phase change of a signal during transmission; frequency distortion is expressed as a change in the frequency content of a signal during transmission; correlation distortion is expressed as a change in correlation of a signal during transmission; noise distortion is expressed as describing the noise interference experienced by a signal during transmission.

In the above formula, the amplitude is distorted: describing the amplitude variation of the signal during transmission can be calculated by comparing the amplitude differences of the signals at the transmitting and receiving ends. Phase distortion: representing the phase change of the signal during transmission can be calculated by comparing the phase differences of the signals at the transmitting and receiving ends. Frequency distortion: representing the change in frequency content of the signal during transmission can be calculated by comparing the frequency differences of the signals at the transmitting and receiving ends. Correlation distortion: the change of the correlation of the signals in the transmission process can be calculated by comparing the correlation difference of the signals of the transmitting end and the receiving end. Noise distortion: the noise interference suffered by the description signal in the transmission process can be calculated by measuring the signal-to-noise ratio of the signal at the receiving end.

The above distortion components may be calculated or evaluated by experimental measurement, theoretical analysis, or analog simulation. The specific calculation method may vary according to the actual situation and the application requirements.

Optionally, in the case where the target evaluation index includes a combination of signal transmission loss, bit error rate, transmission bandwidth, and signal distortion, the performance evaluation result= (signal transmission loss coefficient signal transmission loss+ber coefficient ber+transmission bandwidth coefficient transmission bandwidth)/(signal distortion coefficient signal distortion);

The signal transmission loss coefficient is used for adjusting the importance of signal transmission loss in performance evaluation, wherein the signal transmission loss is expressed as the loss of a signal in the transmission process; the BER coefficient is used for adjusting the importance of BER in performance evaluation, wherein the BER is expressed as a signal transmission error rate and refers to the ratio of the number of error bits to the total number of transmission bits in the transmission process; the transmission bandwidth coefficient is used for adjusting the importance of the transmission bandwidth in performance evaluation, and the transmission bandwidth is expressed as the bandwidth of signal transmission and refers to the data quantity transmitted in a set time; the signal distortion coefficients are used to adjust the importance of signal distortion in performance assessment, which is expressed as amplitude distortion, phase distortion and shape distortion of the signal during transmission.

For example, in the case where the plurality of initial evaluation indexes include at least signal transmission loss, bit error rate, transmission bandwidth, signal distortion, and other evaluation indexes, and the determined target evaluation indexes include at least signal transmission loss, bit error rate, transmission bandwidth, and signal distortion, it is assumed that the experimental data of the acquired signal transmission loss includes: power of input signal: pi=10 dBm, the power of the output signal: po=6 dBm, transmission distance: d=10 km, loss factor per transmission distance: a=0.2 dB/km, mode coupling loss for multimode fiber: m=0.5 dB, other additional loss factors: f=2 dB

Substituting the experimental data of the above parameters into a calculation formula of signal transmission loss, the signal transmission loss can be calculated:

L＝10*log10(Pi/Po)+D*A-M*F＝10*log10(10/6)+10*0.2-0.5*2≈1.790dB

From the above calculation, the signal transmission loss was 1.790dB.

Similarly, in the above manner, it is assumed that BER is calculated: e=1e-6, transmission bandwidth: b=10gbps, signal distortion: d=0.05;

the performance evaluation result can be calculated from the given coefficients and results:

Performance evaluation result = (α×l+β×e+γ×b)/(δ×d) = (0.2×1.5+0.3×1e-6+0.4×10)/(0.1×0.05) = (0.3+3e-7+4)/0.005= 4.0000003

Based on the above calculations, the performance of the system was evaluated as 4.0000003.

It should be noted that the specific coefficients and results may be adjusted according to the actual situation and application requirements to reflect the importance of different indicators in the performance evaluation.

Optionally, before step 106, the method further includes:

105. performing dispersion correction and nonlinear effect compensation on experimental data of the target evaluation index under at least one experimental condition to obtain experimental data of the target evaluation index after correction and compensation under the at least one experimental condition;

Alternatively, the formula may be used: e (z+Δz) =e (z) exp (i (β2/2) Δz (d ²/dz²)|E(z)|² +iγp (z) Δz), performing dispersion correction and nonlinear effect compensation on experimental data of the target evaluation index under at least one experimental condition to obtain experimental data of the target evaluation index after correction and compensation under at least one experimental condition;

Wherein E (z) is expressed as the electric field amplitude of the optical signal at the transmission distance z, E (z+Δz) is expressed as the electric field amplitude after the transmission distance z+Δz, Δz is expressed as the increment of the transmission distance, and β2 is expressed as a second-order dispersion parameter, describing the dispersion effect of the optical signal during propagation in the optical fiber; d ²/dz²|E(z)|² is expressed as the second derivative of the optical signal intensity with respect to the transmission distance z, describing the effect of the amplitude variation of the optical signal on the dispersion effect of the optical signal, and γ is expressed as the nonlinear coefficient, describing the intensity of the nonlinear effect in the optical fiber; p (z) is expressed as the power of the optical signal at the transmission distance z, describing the power variation of the optical signal during transmission.

By applying the formula, dispersion correction and nonlinear effect compensation can be performed on experimental data to obtain experimental data of a corrected and compensated target evaluation index under at least one experimental condition. This will help to reduce the impact of dispersion and nonlinear effects on signal transmission performance assessment, improving the accuracy and reliability of the assessment results.

For example, it is assumed that dispersion correction and nonlinear effect compensation are required for an optical signal to obtain target evaluation index experimental data after correction and compensation. The following experimental conditions and data were presented:

transmission distance: 10km

Transmission distance increment: Δz=1 km

Second order dispersion parameter: β2=20ps ²/km

Nonlinear coefficient: gamma=1W ^-1/km

Electric field amplitude of the optical signal at transmission distance z: e (z) =0.5

Power of the optical signal at transmission distance z: p (z) =1w

According to given experimental conditions and data, a formula can be used for dispersion correction and nonlinear effect compensation, and target evaluation index experimental data after correction and compensation are calculated.

First, the electric field amplitude E (z+Δz) of the optical signal after the transmission distance z+Δz is calculated:

E(z+Δz)＝E(z)*exp(i(β2/2)Δz(d²/dz²)|E(z)|²+iγP(z)Δz)

where d ²/dz²|E(z)|² represents the second derivative of the optical signal strength with respect to the transmission distance z. Assuming |e (z) | ² =0.5, one can calculate:

d²/dz²|E(z)|²＝d²/dz²(0.5)＝0

Based on the given experimental conditions and data, further calculations can be made:

E(z+Δz)＝E(z)*exp(i(β2/2)Δz(d²/dz²)|E(z)|²+iγP(z)Δz)＝0.5*exp(i(20/2)*1*0+i*1*1*1)＝0.5*exp(i10+i)≈0.5*(-0.839-0.544i)≈-0.42-0.27i

According to the calculation, after dispersion correction and nonlinear effect compensation, the target evaluation index experimental data after correction and compensation is-0.42-0.27 i, wherein-0.42-0.27 i is the electric field amplitude of a complex representation optical signal after transmission distance z+deltaz. Where, -0.42 represents the real part, -0.27i represents the imaginary part.

The real and imaginary parts of the optical signal represented by the complex numbers represent the amplitude and phase information of the optical signal, respectively. In this example, -0.42 represents the amplitude portion of the optical signal, -0.27i represents the phase portion of the optical signal. The amplitude and phase variations have a significant impact on the transmission performance and quality of the optical signal.

Note that the values herein are merely examples, and the actual optical signal amplitude and phase may vary according to the specific situation.

In addition, it should be noted that the original evaluation index (i.e., the target evaluation index) is calculated without dispersion correction and nonlinear effect compensation. The corrected and compensated data represents the performance of the optical signal after dispersion correction and nonlinear effect compensation.

By evaluating the target evaluation index after correction and compensation, the performance difference of the optical signals before and after correction can be compared, and the effect of correction can be evaluated. For example, the power, signal-to-noise ratio, bit error rate, and other indicators of the optical signal before and after correction may be compared to evaluate the degree of improvement in the transmission performance of the corrected and compensated optical signal.

Therefore, the data after correction and compensation has close relation with the original evaluation index, and the effect of correction can be evaluated by comparing the data with the original evaluation index.

Fig. 3 is a system architecture diagram of a signal transmission performance evaluation system based on a single-fiber four-way optical component according to an embodiment of the present application, where, as shown in fig. 3, the system includes:

a determining module 21 for determining a plurality of initial evaluation indexes for evaluating signal transmission performance of the single-fiber four-way optical assembly;

the obtaining module 22 is configured to screen a target evaluation index from a plurality of initial evaluation indexes under at least one experimental condition, and obtain experimental data of the target evaluation index under at least one experimental condition, where the target evaluation index is an initial evaluation index that an important value of a performance evaluation result meets a set condition;

and the evaluation module 23 is configured to determine a performance evaluation result of the signal transmission performance of the single-fiber four-way optical assembly according to experimental data of the target evaluation index under at least one experimental condition.

Optionally, in the embodiment of the present application, the obtaining module 22 is specifically configured to collect experimental data corresponding to a plurality of the initial evaluation indexes under at least one experimental condition; performing performance difference judgment on experimental data corresponding to the plurality of initial evaluation indexes to determine an important value of each initial evaluation index on the performance evaluation result; and determining an initial evaluation index of which the important value meets a set condition as a target evaluation index.

Optionally, in the embodiment of the present application, the obtaining module 22 is specifically configured to pre-process the experimental data corresponding to each initial evaluation index to obtain pre-processed experimental data; calculating the correlation between the preprocessed experimental data and the performance evaluation result to determine the linear or nonlinear relation between the initial evaluation index corresponding to the preprocessed experimental data and the performance evaluation result; screening the data characteristics of the preprocessed experimental data, and determining the influence degree of the corresponding initial evaluation index on the performance evaluation result according to the data characteristics of each experimental data; determining an initial evaluation index with the influence degree meeting a set condition as a high-contribution initial evaluation index, and checking the significance of the high-contribution initial evaluation index; and determining an important value of the initial evaluation index on the performance evaluation result according to the linear or nonlinear relation between the initial evaluation index and the performance evaluation result, the influence degree of the initial evaluation index on the performance evaluation result and the significance of the initial evaluation index with high contribution.

Optionally, in the embodiment of the present application, when the plurality of initial evaluation indexes include at least one or a combination of any of signal transmission loss, bit error rate, transmission bandwidth, signal distortion and other evaluation indexes, and the determined target evaluation index includes at least one or a combination of any of signal transmission loss, bit error rate, transmission bandwidth and signal distortion, the evaluation module 23 is specifically configured to bring experimental data of the target evaluation index under at least one experimental condition into a calculation formula of the target evaluation index, and determine a performance evaluation result of the signal transmission performance of the single-fiber four-way optical component.

Optionally, in an embodiment of the present application, the calculation formula of the signal transmission loss includes: l=10log 10 (Pi/Po) +da—mf;

Wherein L is denoted as signal transmission loss, pi is denoted as optical power input, po is denoted as optical power output, D is denoted as transmission distance, a is denoted as attenuation coefficient, M is denoted as signal modulation depth, and F is denoted as modulation loss factor;

the calculation formula of the error rate comprises: ber= (E/N) × (1/(1+ (SNR/10)/(NF)));

Wherein BER is expressed as bit error rate, which is the ratio of the number of error bits to the total number of transmission bits in the transmission process; e is expressed as the number of error bits, and refers to the number of bits in which an error occurs in the transmission process; n is expressed as the total number of transmitted bits, and refers to the total number of transmitted bits; SNR is expressed as signal-to-noise ratio, which refers to the power ratio of signal to noise; NF is expressed as a noise figure, which refers to the ratio of the power of noise to the signal power;

The calculation formula of the transmission bandwidth comprises: transmission bandwidth= (2 pi f P a)/(BER TER);

The transmission bandwidth is represented as the bandwidth of signal transmission, and refers to the data quantity transmitted in a set time; 2 pi is expressed as a constant and refers to a multiple of the circumference ratio; f is denoted as frequency, which refers to the frequency of the signal; p is denoted as average optical power, meaning the average optical power of the signal; alpha is expressed as a linear loss factor, and refers to the linear loss of an optical signal in the transmission process; BER is expressed as bit error rate of signal transmission, and refers to the ratio of the number of error bits to the total number of transmission bits in the transmission process; TER is expressed as a threshold error rate, and refers to the ratio of the number of bits determined to be erroneous in the transmission process to the total number of transmission bits;

The calculation formula of the signal distortion comprises: signal distortion = amplitude distortion + phase distortion + frequency distortion + correlation distortion + noise distortion;

Wherein the amplitude distortion is expressed as describing the amplitude variation of the signal during transmission; phase distortion is expressed as representing the phase change of a signal during transmission; frequency distortion is expressed as a change in the frequency content of a signal during transmission; correlation distortion is expressed as a change in correlation of a signal during transmission; noise distortion is expressed as describing the noise interference experienced by a signal during transmission.

Optionally, in the embodiment of the present application, the evaluation module 23 is further configured to combine a calculation formula corresponding to each target evaluation index to calculate a performance evaluation result;

In case the target evaluation index comprises a combination of signal transmission loss, bit error rate, transmission bandwidth and signal distortion, the evaluation module 23 is specifically configured to: the performance evaluation result= (signal transmission loss coefficient, signal transmission loss+ber coefficient, ber+transmission bandwidth coefficient, transmission bandwidth)/(signal distortion coefficient, signal distortion) is calculated;

The signal transmission loss coefficient is used for adjusting the importance of signal transmission loss in performance evaluation, wherein the signal transmission loss is expressed as the loss of a signal in the transmission process; the BER coefficient is used for adjusting the importance of BER in performance evaluation, wherein the BER is expressed as a signal transmission error rate and refers to the ratio of the number of error bits to the total number of transmission bits in the transmission process; the transmission bandwidth coefficient is used for adjusting the importance of the transmission bandwidth in performance evaluation, and the transmission bandwidth is expressed as the bandwidth of signal transmission and refers to the data quantity transmitted in a set time; the signal distortion coefficients are used to adjust the importance of signal distortion in performance assessment, which is expressed as amplitude distortion, phase distortion and shape distortion of the signal during transmission.

Optionally, in an embodiment of the present application, the apparatus further includes a processing module 24;

The processing module 24 is configured to perform dispersion correction and nonlinear effect compensation on experimental data of the target evaluation index under at least one experimental condition, so as to obtain experimental data of the corrected and compensated target evaluation index under at least one experimental condition;

the performing dispersion correction and nonlinear effect compensation on the experimental data of the target evaluation index under at least one experimental condition to obtain the corrected and compensated experimental data of the target evaluation index under at least one experimental condition includes:

By the formula: e (z+Δz) =e (z) exp (i (β2/2) Δz (d ²/dz²)|E(z)|² +iγp (z) Δz), performing dispersion correction and nonlinear effect compensation on experimental data of the target evaluation index under at least one experimental condition;

Wherein E (z) is expressed as the electric field amplitude of the optical signal at the transmission distance z, E (z+Δz) is expressed as the electric field amplitude after the transmission distance z+Δz, Δz is expressed as the increment of the transmission distance, and β2 is expressed as a second-order dispersion parameter, describing the dispersion effect of the optical signal during propagation in the optical fiber; d ²/dz²|E(z)|² is expressed as the second derivative of the optical signal intensity with respect to the transmission distance z, describing the effect of the amplitude variation of the optical signal on the dispersion effect of the optical signal, and γ is expressed as the nonlinear coefficient, describing the intensity of the nonlinear effect in the optical fiber; p (z) is expressed as the power of the optical signal at the transmission distance z, describing the power variation of the optical signal during transmission.

The signal transmission performance evaluation system based on the single-fiber four-way optical component described in fig. 3 may execute the signal transmission performance evaluation method based on the single-fiber four-way optical component described in the embodiment shown in fig. 1, and its implementation principle and technical effects are not repeated. The specific manner in which the individual modules and units perform the operations in the signal transmission performance evaluation system based on the single-fiber four-way optical assembly in the above embodiment has been described in detail in the embodiment related to the method, and will not be described in detail here.

In one possible design, the signal transmission performance evaluation system based on a single fiber four-way optical component of the embodiment shown in fig. 3 may be implemented as a computing device, which may include a storage component 31 and a processing component 32, as shown in fig. 4;

The storage component 31 stores one or more computer instructions for execution by the processing component 32.

The processing component 32 is configured to: determining a plurality of initial evaluation indexes for evaluating signal transmission performance of the single-fiber four-way optical component; screening target evaluation indexes from a plurality of initial evaluation indexes under at least one experimental condition, and acquiring experimental data of the target evaluation indexes under the at least one experimental condition, wherein the target evaluation indexes are initial evaluation indexes which meet a set condition on an important value of a performance evaluation result; and determining a performance evaluation result of the signal transmission performance of the single-fiber four-way optical component according to experimental data of the target evaluation index under at least one experimental condition.

Wherein the processing component 32 may include one or more processors to execute computer instructions to perform all or part of the steps of the methods described above. Of course, the processing component may also be implemented as one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic elements for executing the methods described above.

The storage component 31 is configured to store various types of data to support operations at the terminal. The memory component may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.

Of course, the computing device may necessarily include other components, such as input/output interfaces, communication components, and the like.

The input/output interface provides an interface between the processing component and a peripheral interface module, which may be an output device, an input device, etc.

The communication component is configured to facilitate wired or wireless communication between the computing device and other devices, and the like.

The computing device may be a physical device or an elastic computing host provided by the cloud computing platform, and at this time, the computing device may be a cloud server, and the processing component, the storage component, and the like may be a base server resource rented or purchased from the cloud computing platform.

The embodiment of the application also provides a computer storage medium, which stores a computer program, and the computer program can realize the signal transmission performance evaluation method based on the single-fiber four-way optical component in the embodiment shown in the figure 1 when being executed by a computer.

It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, systems and units may refer to the corresponding processes in the foregoing method embodiments, which are not repeated herein.

The system embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.

From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims (10)

1. The signal transmission performance evaluation method based on the single-fiber four-way optical component is characterized by comprising the following steps of:

determining a plurality of initial evaluation indexes for evaluating signal transmission performance of the single-fiber four-way optical component;

Screening target evaluation indexes from a plurality of initial evaluation indexes under at least one experimental condition, and acquiring experimental data of the target evaluation indexes under the at least one experimental condition, wherein the target evaluation indexes are initial evaluation indexes which meet a set condition on an important value of a performance evaluation result;

And determining a performance evaluation result of the signal transmission performance of the single-fiber four-way optical component according to experimental data of the target evaluation index under at least one experimental condition.

2. The method of claim 1, wherein said screening target assessment indicators from a plurality of said initial assessment indicators under at least one experimental condition comprises:

Collecting experimental data corresponding to a plurality of initial evaluation indexes under at least one experimental condition;

Performing performance difference judgment on experimental data corresponding to the plurality of initial evaluation indexes to determine an important value of each initial evaluation index on the performance evaluation result;

and determining an initial evaluation index of which the important value meets a set condition as a target evaluation index.

3. The method according to claim 2, wherein performing performance difference judgment on experimental data corresponding to the plurality of initial evaluation indexes to determine an importance value of each initial evaluation index on the performance evaluation result comprises:

Preprocessing experimental data corresponding to each initial evaluation index to obtain preprocessed experimental data;

calculating the correlation between the preprocessed experimental data and the performance evaluation result to determine the linear or nonlinear relation between the initial evaluation index corresponding to the preprocessed experimental data and the performance evaluation result;

screening the data characteristics of the preprocessed experimental data, and determining the influence degree of the corresponding initial evaluation index on the performance evaluation result according to the data characteristics of each experimental data;

Determining an initial evaluation index with the influence degree meeting a set condition as a high-contribution initial evaluation index, and checking the significance of the high-contribution initial evaluation index;

And determining an important value of the initial evaluation index on the performance evaluation result according to the linear or nonlinear relation between the initial evaluation index and the performance evaluation result, the influence degree of the initial evaluation index on the performance evaluation result and the significance of the initial evaluation index with high contribution.

4. The method according to claim 1, wherein, in the case where the plurality of initial evaluation indexes include at least one or a combination of any of signal transmission loss, bit error rate, transmission bandwidth, signal distortion, and other evaluation indexes, the determining the target evaluation index includes at least one or a combination of any of signal transmission loss, bit error rate, transmission bandwidth, and signal distortion, determining the performance evaluation result of the signal transmission performance of the single-fiber four-way optical component according to the experimental data of the target evaluation index under at least one experimental condition includes:

And carrying experimental data of the target evaluation index under at least one experimental condition into a calculation formula of the target evaluation index to determine a performance evaluation result of the signal transmission performance of the single-fiber four-way optical component.

5. The method of claim 4, wherein the formula for calculating the signal transmission loss comprises: l=10log 10 (Pi/Po) +da—mf;

Wherein L is denoted as signal transmission loss, pi is denoted as optical power input, po is denoted as optical power output, D is denoted as transmission distance, a is denoted as attenuation coefficient, M is denoted as signal modulation depth, and F is denoted as modulation loss factor;

the calculation formula of the error rate comprises: ber= (E/N) × (1/(1+ (SNR/10)/(NF)));

Wherein BER is expressed as bit error rate, which is the ratio of the number of error bits to the total number of transmission bits in the transmission process; e is expressed as the number of error bits, and refers to the number of bits in which an error occurs in the transmission process; n is expressed as the total number of transmitted bits, and refers to the total number of transmitted bits; SNR is expressed as signal-to-noise ratio, which refers to the power ratio of signal to noise; NF is expressed as a noise figure, which refers to the ratio of the power of noise to the signal power;

The calculation formula of the transmission bandwidth comprises: transmission bandwidth= (2 pi f P a)/(BER TER);

The transmission bandwidth is represented as the bandwidth of signal transmission, and refers to the data quantity transmitted in a set time; 2 pi is expressed as a constant and refers to a multiple of the circumference ratio; f is denoted as frequency, which refers to the frequency of the signal; p is denoted as average optical power, meaning the average optical power of the signal; alpha is expressed as a linear loss factor, and refers to the linear loss of an optical signal in the transmission process; BER is expressed as bit error rate of signal transmission, and refers to the ratio of the number of error bits to the total number of transmission bits in the transmission process; TER is expressed as a threshold error rate, and refers to the ratio of the number of bits determined to be erroneous in the transmission process to the total number of transmission bits;

The calculation formula of the signal distortion comprises: signal distortion = amplitude distortion + phase distortion + frequency distortion + correlation distortion + noise distortion;

Wherein the amplitude distortion is expressed as describing the amplitude variation of the signal during transmission; phase distortion is expressed as representing the phase change of a signal during transmission; frequency distortion is expressed as a change in the frequency content of a signal during transmission; correlation distortion is expressed as a change in correlation of a signal during transmission; noise distortion is expressed as describing the noise interference experienced by a signal during transmission.

6. The method of claim 5, wherein said bringing experimental data of said target evaluation index under at least one experimental condition into a calculation formula of said target evaluation index, determining a performance evaluation result of signal transmission performance of said single-fiber four-way optical assembly, comprises:

A calculation formula corresponding to each target evaluation index is established simultaneously, and a performance evaluation result is calculated;

In the case that the target evaluation index includes a combination of signal transmission loss, bit error rate, transmission bandwidth, and signal distortion, the calculating formula corresponding to each of the target evaluation indexes is combined, and calculating the performance evaluation result includes: by the formula: the performance evaluation result= (signal transmission loss coefficient, signal transmission loss+ber coefficient, ber+transmission bandwidth coefficient, transmission bandwidth)/(signal distortion coefficient, signal distortion) is calculated;

The signal transmission loss coefficient is used for adjusting the importance of signal transmission loss in performance evaluation, wherein the signal transmission loss is expressed as the loss of a signal in the transmission process; the BER coefficient is used for adjusting the importance of BER in performance evaluation, wherein the BER is expressed as a signal transmission error rate and refers to the ratio of the number of error bits to the total number of transmission bits in the transmission process; the transmission bandwidth coefficient is used for adjusting the importance of the transmission bandwidth in performance evaluation, and the transmission bandwidth is expressed as the bandwidth of signal transmission and refers to the data quantity transmitted in a set time; the signal distortion coefficients are used to adjust the importance of signal distortion in performance assessment, which is expressed as amplitude distortion, phase distortion and shape distortion of the signal during transmission.

7. The method of claim 6, further comprising, prior to determining the performance evaluation result of the signal transmission performance of the single fiber four-way optical assembly based on the experimental data of the target evaluation index under at least one experimental condition:

Performing dispersion correction and nonlinear effect compensation on experimental data of the target evaluation index under at least one experimental condition to obtain experimental data of the target evaluation index after correction and compensation under the at least one experimental condition;

the performing dispersion correction and nonlinear effect compensation on the experimental data of the target evaluation index under at least one experimental condition to obtain the corrected and compensated experimental data of the target evaluation index under at least one experimental condition includes:

By the formula: e (z+Δz) =e (z) exp (i (β2/2) Δz (d 2/dz2) |e (z) |2+iγp (z) Δz), and performing dispersion correction and nonlinear effect compensation on experimental data of the target evaluation index under at least one experimental condition;

Wherein E (z) is expressed as the electric field amplitude of the optical signal at the transmission distance z, E (z+Δz) is expressed as the electric field amplitude after the transmission distance z+Δz, Δz is expressed as the increment of the transmission distance, and β2 is expressed as a second-order dispersion parameter, describing the dispersion effect of the optical signal during propagation in the optical fiber; d2/dz2|E (z) |2 is expressed as a second derivative of the optical signal intensity with respect to the transmission distance z, describing the effect of the amplitude variation of the optical signal on the dispersion effect of the optical signal, and γ is expressed as a nonlinear coefficient, describing the intensity of the nonlinear effect in the optical fiber; p (z) is expressed as the power of the optical signal at the transmission distance z, describing the power variation of the optical signal during transmission.

8. A signal transmission performance evaluation system based on a single-fiber four-way optical assembly, comprising:

a determining module for determining a plurality of initial evaluation indexes for evaluating signal transmission performance of the single-fiber four-way optical assembly;

the acquisition module is used for screening out target evaluation indexes from a plurality of initial evaluation indexes under at least one experimental condition and acquiring experimental data of the target evaluation indexes under the at least one experimental condition, wherein the target evaluation indexes are initial evaluation indexes which meet a set condition on an important value of a performance evaluation result;

And the evaluation module is used for determining a performance evaluation result of the signal transmission performance of the single-fiber four-way optical component according to experimental data of the target evaluation index under at least one experimental condition.

9. A computing device comprising a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are configured to be invoked and executed by the processing component to implement the signal transmission performance evaluation method based on a single fiber four-way optical component as claimed in any one of claims 1 to 7.

10. A computer storage medium storing a computer program which, when executed by a computer, implements the signal transmission performance evaluation method based on a single-fiber four-way optical module according to any one of claims 1 to 7.