WO2016131178A1

WO2016131178A1 - Method and device for processing signal

Info

Publication number: WO2016131178A1
Application number: PCT/CN2015/073195
Authority: WO
Inventors: 卢彦兆
Original assignee: 华为技术有限公司
Priority date: 2015-02-16
Filing date: 2015-02-16
Publication date: 2016-08-25
Also published as: CN107210986B; CN107210986A

Abstract

Provided in embodiments of the present invention are a method and device for processing a signal. The method comprises: according to an output signal at time k, determining an error value for the time k; obtaining an input signal at time k+1, wherein the input signal at the time k+1 is a signal obtained from signal re-sampling, optical fiber link dispersion assessment and dispersion compensation processing; according to the error value at the time k, determining information carried by the input signal at the time k+1. The above solution does not require assistance of a training sequence, and has a lower complexity.

Description

Method and apparatus for processing signals

Technical field

Embodiments of the present invention relate to the field of communications technologies and, more particularly, to methods and apparatus for processing signals.

Background technique

Metropolitan area transmission systems typically cover from 80 to 600 kilometers. In order to increase the signal transmission distance to several hundred kilometers, the metro transmission system using intensity modulation and direct detection usually utilizes the multi-carrier method and reduces the symbol rate of each carrier to achieve the purpose of increasing the tolerance of the dispersion, or on the link. A light dispersion compensation component is placed in the middle. In addition, the metro transmission system may also include transmission systems of different rates (for example, a 10G transmission system and a 100G transmission system may exist in the metro transmission system). Mixed transmission of signals in transmission systems of different rates may introduce non-linear effects. In order to solve the above problem, intensity modulation and coherent detection can be performed on signals in the metro transmission system. Transmission systems employing intensity modulation and coherent detection may be referred to as intensity modulated coherent detection systems.

The receiving end of the prior art intensity-modulated coherent detection system converts the optical signal to be detected into an analog electrical signal after receiving the optical signal, and then converts the analog electrical signal into a digital signal, and then performs the digital signal. deal with. The method for processing the digital signal in the prior art is to process the digital signal by a Least Mean Square (LMS) algorithm. The LMS algorithm requires training sequence assistance and requires compensation for frequency and phase noise during convergence of the coherent detection signal. The LMS algorithm architecture is complex, the logic resources are in great demand, and the hardware requirements are high.

Summary of the invention

Embodiments of the present invention provide methods and apparatus for processing signals that do not require training sequence assistance and that can simplify complexity.

In a first aspect, an embodiment of the present invention provides a method for processing a signal, the method comprising: determining an error value of the k time according to an output signal at time k; acquiring an input signal at a time k+1, wherein the k+1 time The input signal is a signal obtained by signal resampling, fiber link dispersion estimation and dispersion compensation processing; and according to the error value at time k, the information carried by the input signal at the time k+1 is determined.

With reference to the first aspect, in a first possible implementation manner of the first aspect, the determining the error value of the k time according to the output signal at time k includes: outputting the signal at the k time according to the DC offset amplitude Performing a DC offset amplitude adjustment to determine an adjustment signal at the k-time; performing constellation mapping on the adjusted signal at time k to determine a mapping signal at the k-time, wherein all constellation points in the mapped signal at the k-time The modulo values are all the same; the error value at the k-time is determined according to the mapping signal at the k-time and the reference average power.

With reference to the first possible implementation manner of the first aspect, in a second possible implementation manner of the first aspect, the DC offset amplitude adjustment is performed on the output signal at the time k according to the DC offset amplitude, Obtaining the adjustment signal at the time k includes: determining the adjustment signal at the time k by using the following formula:

r' _k =|r _k |-DC _ref ,

Wherein, r _'k represents the adjustment signal at time k, r _k denotes the output signal of the time k, DC _ref represents the amplitude of the DC bias.

In conjunction with the first possible implementation of the first aspect or the second possible implementation of the first aspect, in a third possible implementation manner of the first aspect, the constrained mapping of the adjusted signal at the k-time And obtaining the mapping signal at the time k, comprising: determining the mapping signal at the time k by using the following formula:

r _k-trans = mod(r' _k ,sign(r' _k )×2),

Where r _k-trans represents the mapping signal at time k, and r' _k represents the adjustment signal at time k.

With reference to the first possible implementation of the first aspect to any one of the possible implementations of the third possible implementation of the first aspect, in a fourth possible implementation of the first aspect, the basis The mapping signal at the k-time and the reference average power determining the error value at the k-time includes: determining the error value at the k-time using the following formula:

Err _k =|r _k-trans | ² -P _ref ,

Where err _k represents the error value at time k, r _k-trans represents the mapped signal at time k, and P _ref represents the reference average power.

With reference to the first aspect or any one of the foregoing possible implementation manners, in a fifth possible implementation manner of the first aspect, the information carried by the input signal at the k+1 time is determined according to the error value at the k time The method includes: determining, according to the error value at the time k, a filter coefficient at time k+1; determining, according to the filter coefficient at the time k+1, an output signal at the time k+1; output according to the k+1 time The signal determines the information carried by the input signal at the time k+1.

With reference to the fifth possible implementation manner of the first aspect, in a sixth possible implementation manner of the first aspect, the determining, by the output signal of the k+1 time, the input signal carried by the k+1 time The information includes: determining a mode of the output signal at the time k+1; determining, according to the mode of the output signal at the k+1 time, and the plurality of preset ranges, information carried by the input signal at the time k+1, wherein the information A plurality of preset ranges correspond to a plurality of pieces of information one by one.

In a second aspect, an embodiment of the present invention provides an apparatus for processing a signal, where the apparatus includes: a determining unit, configured to determine an error value of the k time according to an output signal at time k; and an acquiring unit, configured to perform a time of k+1 Receiving the digital signal for signal resampling, fiber link dispersion estimation and dispersion compensation processing, acquiring the input signal at the time k+1; the determining unit is further configured to determine the k+1 according to the error value at the k time The information carried by the input signal at the moment.

With reference to the second aspect, in a first possible implementation manner of the second aspect, the determining unit is configured to perform a DC offset amplitude adjustment on the output signal at the time k according to the DC offset amplitude to obtain the Adjusting signal at time k; performing constellation mapping on the adjusted signal at time k to obtain a mapping signal at time k, wherein normalized modulus values of all constellation points in the mapped signal at time k are the same; according to the k time The mapping signal and the reference average power determine the error value at the k-time.

With reference to the first possible implementation of the second aspect, in a second possible implementation manner of the second aspect, the determining unit is specifically configured to determine the adjustment signal of the time k by using the following formula:

r' _x,k+1 =|r _x,k |-DC _ref ,

Wherein, r _'k represents the adjustment signal at time k, R & lt _k represents the output signal at time k, which represents the DC offset amplitude.

With reference to the first possible implementation of the second aspect or the second possible implementation of the second aspect, in a third possible implementation manner of the second aspect, the determining unit is specifically configured to determine by using the following formula The mapping signal at time k:

r _k-trans = mod(r' _k ,sign(r' _k )×2),

With reference to the first possible implementation of the second aspect to any one of the possible implementations of the third possible implementation of the second aspect, in a fourth possible implementation of the second aspect, the determining The unit is specifically used to determine the error value at the time k: using the following formula:

Err _k =|r _k-trans | ² -P _ref ,

With reference to the second aspect, or any one of the foregoing possible implementation manners, in a fifth possible implementation manner of the second aspect, the determining unit is configured to determine, according to the error value of the k time, the filtering at the time k+1 And determining, according to the filter coefficient of the k+1 time, the output signal of the k+1 time; and determining, according to the output signal of the k+1 time, information carried by the input signal of the k+1 time.

With reference to the fifth possible implementation of the second aspect, in a sixth possible implementation manner of the second aspect, the determining unit is specifically configured to determine a mode of the output signal of the k+1 time; according to the k+ The mode of the output signal at time 1 and a plurality of preset ranges corresponding to the plurality of pieces of information determine the information carried by the input signal at the time k+1.

In the above technical solution, when the input signal is blindly equalized, the assistance of the training sequence is not needed, and the system overhead is reduced. At the same time, the output signal can be directly judged without frequency difference and phase compensation. The algorithm architecture in the above technical solution is simpler than the algorithm architecture of the LMS algorithm. In this way, the design difficulty of the device for processing the digital signal after converting the analog electrical signal into a digital signal can be reduced, so that the input digital signal processing can be realized by using a low-power, low-complexity device (for example, a digital signal processing chip). The process determines the information carried by the input signal.

DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings to be used in the embodiments of the present invention will be briefly described below. It is obvious that the drawings described below are only some embodiments of the present invention, Those skilled in the art can also obtain other drawings based on these drawings without paying any creative work.

FIG. 1 is a schematic flowchart of a method for processing a signal according to an embodiment of the present invention.

FIG. 2 is a schematic flowchart of a method for processing a signal according to an embodiment of the present invention.

Figure 3 is a schematic illustration of a previous constellation diagram for the process of removing the offset amplitude.

4 is a schematic diagram of a constellation diagram after removing the offset amplitude.

FIG. 5 is a schematic diagram of a mapped constellation diagram.

Figure 6 is a schematic diagram of a constellation diagram of an input signal.

7 is a schematic diagram of a constellation diagram of an output signal obtained according to the method shown in FIG. 1 or 2.

FIG. 8 is a structural block diagram of an apparatus for processing a signal according to an embodiment of the present invention.

FIG. 9 is a structural block diagram of an apparatus for processing a signal according to an embodiment of the present invention.

FIG. 10 is a structural block diagram of an apparatus for processing a signal according to an embodiment of the present invention.

FIG. 11 is a structural block diagram of an apparatus for processing a signal according to an embodiment of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the embodiments are a part of the embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of the present invention.

101. Determine an error value of the k time according to an output signal at time k.

102. Acquire an input signal at time k+1, where the input signal at the time k+1 is a signal obtained by signal resampling, fiber link dispersion estimation, and dispersion compensation processing.

103. Determine, according to the error value at the time k, the information carried by the input signal at the time k+1.

According to the method shown in FIG. 1, when the blind equalization detection of the input signal is performed, the assistance of the training sequence is not required, and the system overhead is reduced. At the same time, the output signal can be directly judged without frequency difference and phase compensation. The algorithm architecture of the method shown in Figure 1 is simpler than the algorithm architecture of the LMS algorithm. In this way, it is possible to reduce the design difficulty of the apparatus for processing the digital signal after converting the analog electrical signal into a digital signal, so that the steps shown in FIG. 1 can be performed using a low-power, low-complexity device such as a digital signal processing chip. The process of processing the input digital signal to determine the information carried by the input signal.

Specifically, determining the error value of the k time according to the output signal at time k, comprising: performing a DC offset amplitude adjustment on the output signal of the k time according to the DC offset amplitude to determine the adjustment signal of the k time Performing constellation mapping on the adjusted signal at time k to determine the mapped signal at the time k, wherein the normalized modulus values of all constellation points in the mapped signal at time k are the same (for example, +3 and -3 respectively) Mapping to +1 and -1); determining the error value at time k according to the mapping signal at the k-time and the reference average power.

Specifically, the adjustment signal at the time k can be determined using the following formula:

r' _k =|r _k |-DC _ref ,......................................................Formula 1.1

Wherein, r _'k represents the adjustment signal at time k, r _k denotes the output signal of the time k, DC _ref represents the amplitude of the DC bias. The DC offset amplitude DC _ref can be a statistical average of the input signal modes.

Optionally, as an embodiment, the mapping signal at the time k may be determined by using the following formula:

r _k-trans = mod(r' _k ,sign(r' _k )×2),................................................Formula 1.2

Where r _k-trans represents the mapping signal at time k, and r' _k represents the adjustment signal at time k. Sign(x) indicates a symbolic operation on x. If x is greater than 0, sign(x) is 1, and if x is less than 0, sign(x) is -1. Mod represents modulo.

In addition to using the mapping signal at the k-time in Equation 1.2, the mapping signal at the time k can be determined in other manners, for example, by looking up a table or the like.

Specifically, the error value at the time k can be determined using the following formula:

Err _k =|r _k-trans | ² -P _ref ,...................................................Formula 1.3

Where err _k represents the error value at time k, r _k-trans represents the mapped signal at time k, and P _ref represents the reference average power (ie, the square of the normalized reference modulus). The value of P _ref can be 1.

Specifically, determining the information carried by the input signal at the k+1 time according to the error value at the k time, comprising: determining a filter coefficient at time k+1 according to the error value at the k time; according to the k+ The filter coefficient at time 1 determines the output signal at the time k+1; and the information carried in the input signal at the k+1 time is determined based on the output signal at the time k+1.

Further, determining, according to the output signal of the k+1 time, the information carried by the input signal at the time k+1, comprising: determining a mode of the output signal at the time k+1; and outputting the signal according to the k+1 time The module and a plurality of preset ranges corresponding to the plurality of information one-to-one determine the information carried by the input signal at the time k+1.

201: Determine a first error value at the k time according to the first output signal at time k; and determine a second error value at the k time according to the second output signal at the k time.

202: Acquire a first input signal at time k+1 and a second input signal at the time k+1, where the first input signal and the second input signal are processed by signal resampling, fiber link dispersion estimation, and dispersion compensation The resulting signal has a different polarization direction of the first input signal and the second input signal.

203. Determine, according to the first error value at the time k, the information carried by the first input signal at the time k+1; and determine, according to the second error value at time k, the second input signal carried at the time k+1. Information.

According to the method shown in FIG. 2, when the blind equalization detection of the input signal is performed, the assistance of the training sequence is not required, and the system overhead is reduced. At the same time, the output signal can be directly judged without frequency difference and phase compensation. In this way, the number of processing can be reduced after converting the analog electrical signal into a digital signal. The design of the word signal device is such that the various steps shown in FIG. 1 can be performed using a low power, low complexity device (eg, a digital signal processing chip) to implement the process of inputting the digital signal to determine the input signal. Carrying information.

Specifically, determining the first error value at the k time according to the first output signal at time k includes: performing a DC offset amplitude adjustment on the first output signal at the k time according to the DC offset amplitude to determine the a first adjustment signal at time k; performing constellation mapping on the first adjustment signal at time k to determine a first mapping signal at the k-time, wherein the normalization mode of all constellation points in the first mapping signal at the k-time The values are all the same (eg, mapping +3 to +1); the first error value at time k is determined based on the first mapping signal at the k-time and the reference average power.

Specifically, determining the second error value at the time k according to the second output signal at the time k, comprising: performing a DC offset amplitude adjustment on the second output signal at the time k according to the DC offset amplitude, Determining a second adjustment signal at the time k; performing constellation mapping on the second adjustment signal at time k to determine a second mapping signal at the k-time, wherein all constellation points in the second mapping signal at the k-time The modulo values are all the same (for example, -3 is mapped to -1); and the second error value at the k-time is determined according to the second mapping signal at the k-time and the reference average power.

Specifically, the first adjustment signal at the time k can be determined by the following formula:

r' _x,k =|r _x,k |-DC _ref ,......................................................Formula 1.4

Where r' _x,k represents the first adjustment signal at time k, r _x,k represents the first output signal at time k, and DC _ref represents the DC offset amplitude.

The second adjustment signal at the time k can be determined by the following formula:

r' _y,k =|r _y,k |-DC _ref ,......................................................Formula 1.5

Where r' _y,k represents the second adjustment signal at time k, r _y,k represents the second output signal at time k, and DC _ref represents the DC offset amplitude.

The DC offset amplitude DC _ref can be a statistical average of the input signal modes.

Optionally, as an embodiment, the first mapping signal at the time k is determined by using the following formula:

r _x-trans,k = mod(r' _x,k ,sign(r' _x,k )×2),.......................................Formula 1.6

Where r _x-trans,k represents the first mapping signal at time k, and r′ _x,k represents the first adjustment signal at time k+1.

Optionally, as another embodiment, the second mapping signal at the time k can be determined by using the following formula:

r _y-trans,k = mod(r' _y,k ,sign(r' _y,k )×2),.......................................Formula 1.7

Where r _y-trans,k represents the second mapping signal at time k, and r' _y,k represents the second adjustment signal at time k. Sign(x) indicates a symbolic operation on x. If x is greater than 0, sign(x) is 1, and if x is less than 0, sign(x) is -1. Mod represents the remainder.

In addition to determining the first mapping signal at the k-time and the second mapping signal at the k-time using Equations 1.6 and 1.7, the first mapping signal at the time k+1 and the time at the k+1 moment may be determined in other manners. The second mapping signal can be, for example, by looking up a table or the like.

The first error value at time k can be determined by the following formula:

Err _x,k =|r _x-trans,k | ² -P _ref ,................................................Formula 1.8

Where err _x,k represents the first error value at time k, r _x-trans,k represents the first mapping signal at time k, and P _ref represents the reference average power.

The second error value at time k can be determined by the following formula:

Err _y,k =|r _y-trans,k | ² -P _ref ,................................................Formula 1.9

Where err _y,k represents the second error value at time k, r _y-trans,k represents the second mapping signal at time k, and P _ref represents the reference average power (ie, the square of the normalized reference modulus) ). The value of P _ref can be 1.

Figure 3 is a schematic illustration of a previous constellation diagram for the process of removing the offset amplitude. 4 is a schematic diagram of a constellation diagram after removing the offset amplitude. FIG. 5 is a schematic diagram of a mapped constellation diagram. That is to say, according to the DC offset amplitude, the process of performing the DC-DC offset amplitude adjustment on the output signal at the k-time can convert the constellation shown in FIG. 3 into the constellation diagram shown in FIG. 4. Performing constellation mapping on the adjusted signal at time k to determine the mapping signal at time k can convert the constellation shown in FIG. 4 into the constellation shown in FIG. 5.

Determining, according to the first error value at the time k, the information carried by the first input signal at the time k+1, comprising: determining, according to the first error value at the time k, determining a filter coefficient at time k+1; The filter coefficient of the k+1 time determines the first output signal at the k+1 time; and determines the information carried by the first input signal at the k+1 time according to the first output signal at the k+1 time. Determining, according to the second error value at time k, the information carried by the second input signal at the time of k+1, comprising: determining, according to the second error value at the time k, determining a filter coefficient at time k+1; The filter coefficient at time k+1 determines the second output signal at the time k+1; and determines the information carried by the second input signal at the time k+1 according to the second output signal at the time k+1.

Specifically, the first error value at the time k is determined according to Equation 1.4 to Equation 1.9. After the second error at time k, the filter coefficients at time k+1 can be determined by the following formula:

....................................Formula 1.10

among them,

with

Represents the four coefficients of the filter at time k.

with

Represents the four coefficients of the filter at time k+1. μ denotes the step size or iteration coefficient, s _x,k denotes the first input signal at time k, and s _yk denotes the second input signal at time k,

Representing the conjugate of the first input signal at time k+1,

A conjugate indicating the second input signal at time k+1.

The first output signal at the k+1 time and the second output signal at the k+1 time may be determined using the following formula:

....................................Formula 1.11

Further, determining, according to the first output signal of the k+1 time, the information carried by the first input signal at the time k+1, comprising: determining a modulus of the first output signal at the time k+1; according to the k The mode of the first output signal at the +1 time and the plurality of preset ranges determine the information carried by the first input signal at the time k+1, wherein the plurality of preset ranges are in one-to-one correspondence with the plurality of information. Determining information carried by the second input signal at the time k+1 according to the second output signal at the k+1 time, comprising: determining a mode of the second output signal at the time k+1; according to the k+1 The mode of the second output signal at the moment and the plurality of preset ranges determine the information carried by the second input signal at the time k+1, wherein the plurality of preset ranges are in one-to-one correspondence with the plurality of information.

For example, the information corresponding to a preset range in the plurality of preset ranges may be 01, and if the size of the modulus of the first output signal at the time of the k+1 belongs to a preset range corresponding to 01, the The information of the first output signal at time k+1 is 01, that is, the information carried by the first input signal at the time k+1 is 01.

The input signal and the output signal can be represented by a constellation. Figure 6 shows a schematic diagram of the constellation of the input signal. 7 is a schematic diagram of a constellation diagram of an output signal obtained according to the method shown in FIG. 1 or 2.

It can be seen that the constellation obtained by the method of FIG. 1 or FIG. 2 is a ring planet map. At this point, by determining the size of the mode, the position of the mode on the ring can be determined, and then the image is modulated according to the intensity of the origin. The shooting mode is decoded. For example, 4 modulo (or level) corresponds to 2 bits, and 8 modulo corresponds to 3 bits. If the origin is 4-level modulation, the constellation at the end is four concentric rings. Each ring corresponds to a preset range. Among the 4 levels, 1, 2, 3, and 4 are coded as 00, 01, 11, and 10, respectively. If the output constellation point is on the second ring, the corresponding information obtained by decoding according to the 4-level modulation is 01.

The output signal obtained by the method shown in FIG. 1 or FIG. 2 may be within one of a plurality of preset ranges, and therefore, the output may be directly determined according to information corresponding to the preset range in which the output signal is located. The information corresponding to the signal. In other words, since the constellation obtained by the method shown in FIG. 1 and FIG. 2 is composed of a plurality of concentric rings, the decision can be directly made according to the size of the point mode on the ring, without the frequency difference and Phase compensation.

FIG. 8 is a structural block diagram of an apparatus for processing a signal according to an embodiment of the present invention. The apparatus 800 shown in Figure 8 can perform the various steps of the method illustrated in Figure 1. As shown in FIG. 8, the apparatus 800 includes an acquisition unit 801 and a determination unit 802.

The determining unit 802 is configured to determine an error value of the k time according to an output signal at time k.

The obtaining unit 801 is configured to perform signal resampling, fiber link dispersion estimation, and dispersion compensation processing on the digital signal received at the time k+1, and acquire the input signal at the k+1 time.

The determining unit 802 is further configured to determine, according to the error value at the time k, the information carried by the input signal at the time k+1.

According to the apparatus shown in FIG. 8, when the blind equalization detection of the input signal is performed, the assistance of the training sequence is not required, and the system overhead is reduced. At the same time, the output signal can be directly judged without frequency difference and phase compensation. Thus, according to the design difficulty of the apparatus shown in FIG. 8, the apparatus shown in FIG. 8 can be a low power consumption, low complexity apparatus (for example, a digital signal processing chip).

The determining unit 802 is configured to perform a DC-DC offset amplitude adjustment on the output signal at the k-time according to the DC offset amplitude to obtain the adjustment signal at the k-time; perform constellation mapping on the adjusted signal at the k-time to obtain The mapping signal at time k, wherein the normalized modulus values of all constellation points in the mapped signal at time k are the same; and the error value at the k-time is determined according to the mapping signal at the k-time and the reference average power.

The determining unit 802 is specifically configured to determine the adjustment signal at the time k by using Equation 1.1. The determining unit 802 is specifically configured to determine the mapping signal at the time k by using Equation 1.2. The determining unit 802 is specifically configured to determine the error value of the k time using Equation 1.3.

The determining unit 802 can also determine the mapping signal at the time k by other means, for example, the mapping signal at the time k can be determined by looking up a table or the like.

Determining unit 802, specifically for determining a filter coefficient at time k+1 according to the error value at time k; determining an output signal at time k+1 according to the filter coefficient at time k+1; according to the k+ The output signal at time 1 determines the information carried by the input signal at time k+1.

The determining unit 802 is specifically configured to determine a mode of the output signal at the time k+1; determine the k+1 according to a mode of the output signal at the k+1 time and a plurality of preset ranges corresponding to the plurality of information The information carried by the input signal at the moment.

FIG. 9 is a structural block diagram of an apparatus for processing a signal according to an embodiment of the present invention. The apparatus 900 shown in FIG. 9 can perform the various steps of the method shown in FIG. 2. As shown in FIG. 9, the apparatus 900 includes an acquisition unit 901 and a determination unit 902.

The determining unit 902 is configured to determine a first error value at the k time according to the first output signal at the time k, and determine a second error value at the k time according to the second output signal at the k time.

The obtaining unit 901 is configured to acquire a first input signal at time k+1 and a second input signal at the time k+1, where the first input signal and the second input signal are signal resampling and fiber link chromatic dispersion estimation And a signal obtained after the dispersion compensation process, the polarization directions of the first input signal and the second input signal are different.

The determining unit 902 is further configured to determine information carried by the first input signal at the time k+1 according to the first error value at the time k, and determine the first time of the k+1 time according to the second error value at time k The information carried by the two input signals.

According to the apparatus shown in FIG. 9, when the blind equalization detection of the input signal is performed, the assistance of the training sequence is not required, and the system overhead is reduced. At the same time, the output signal can be directly judged without frequency difference and phase compensation. Thus, according to the design difficulty of the apparatus shown in FIG. 9, the apparatus shown in FIG. 9 can be a low power consumption, low complexity apparatus (for example, a digital signal processing chip).

The determining unit 902 is configured to perform a DC offset amplitude adjustment on the first output signal at the k time according to the DC offset amplitude to determine the first adjustment signal at the k time; the first adjustment signal at the k time Performing constellation mapping to determine a first mapping signal at the k-time, wherein normalized modulus values of all constellation points in the first mapping signal at the k-time are the same; according to the first mapping signal and the reference average power at the k-time Determining a first error value at the time k; and performing a DC-offset amplitude adjustment on the second output signal at the k-time according to the DC offset amplitude to determine a second adjustment signal at the k-time; The second adjustment signal performs constellation mapping to determine a second mapping signal at the time k, wherein the normalized modulus values of all constellation points in the second mapping signal at the k-time are the same; the second mapping according to the k-time Signal and the reference average power, determining the k The second error value engraved.

The determining unit 902 is specifically configured to determine the first adjustment signal at the k time and the second adjustment signal at the k time using Equations 1.4 and 1.5, respectively. The determining unit 902 is specifically configured to determine the first mapping signal at the k time and the second mapping signal at the k time using Equations 1.6 and 1.7, respectively. The determining unit 902 is specifically configured to determine the first error value at the k time and the second error value at the k time using Equations 1.8 and 1.9, respectively.

The determining unit 902 may further determine the first mapping signal at the k-time and the second mapping signal at the k-time in other manners, for example, determining the first mapping signal at the k-time and the second-time at the k-time by means of a look-up table or the like. Map the signal.

The determining unit 902 is specifically configured to determine, according to the first error value at the time k, the filter coefficient at the time k+1; and determine, according to the filter coefficient at the time k+1, the first output signal at the time k+1; Determining information carried by the first input signal at the k+1 time according to the first output signal at the k+1 time; determining a filter coefficient at time k+1 according to the second error value at the k time; The filter coefficient at time k+1 determines the second output signal at the time k+1; and determines the information carried by the second input signal at the time k+1 according to the second output signal at the time k+1.

The determining unit 902 is specifically configured to determine a mode of the first output signal at the time k+1; determine a first time of the k+1 time according to a mode of the first output signal at the k+1 time and a plurality of preset ranges And the information carried by the input signal, wherein the plurality of preset ranges are in one-to-one correspondence with the plurality of information; determining a mode of the second output signal at the k+1 time; and a mode of the second output signal according to the k+1 time The plurality of preset ranges determine the information carried by the second input signal at the time of the k+1, wherein the plurality of preset ranges are in one-to-one correspondence with the plurality of information.

FIG. 10 is a structural block diagram of an apparatus for processing a signal according to an embodiment of the present invention. The apparatus 1000 shown in FIG. 10 can perform the various steps of the method shown in FIG. 1. As shown in FIG. 10, the device 1000 includes a transceiver circuit 1001 and a processor 1002.

The processor 1002 is configured to determine an error value of the k time according to an output signal at time k.

The transceiver circuit 1001 is configured to receive a digital signal at time k+1.

The processor 1002 is configured to perform signal resampling, fiber link dispersion estimation, and dispersion compensation processing on the digital signal received at the k+1 time, and acquire the input signal at the k+1 time.

The processor 1002 is further configured to determine information carried by the input signal at the time k+1 according to the error value at the time k.

According to the device shown in FIG. 10, it is possible to perform blind equalization detection on the input signal without training. The assistance of the sequence reduces system overhead. At the same time, the output signal can be directly judged without frequency difference and phase compensation. Thus, according to the design difficulty of the apparatus shown in FIG. 10, the apparatus shown in FIG. 10 can be a low power consumption, low complexity apparatus (for example, a digital signal processing chip).

The processor 1002 is specifically configured to perform a DC offset amplitude adjustment on the output signal at the k time according to the DC offset amplitude to obtain the adjustment signal at the k time; perform constellation mapping on the adjusted signal at the k time to obtain The mapping signal at time k, wherein the normalized modulus values of all constellation points in the mapped signal at time k are the same; and the error value at the k-time is determined according to the mapping signal at the k-time and the reference average power.

The processor 1002 is specifically configured to determine the adjustment signal at the time k by using Equation 1.1. The processor 1002 is specifically configured to determine the mapping signal at the time k by using Equation 1.2. The processor 1002 is specifically configured to determine an error value of the k time using Equation 1.3.

The processor 1002 can also determine the mapping signal at the time k by other means, for example, the mapping signal at the time k can be determined by looking up a table or the like.

The processor 1002 is specifically configured to determine a filter coefficient at time k+1 according to the error value at the time k, and determine an output signal at the time k+1 according to the filter coefficient at the time k+1; according to the k+ The output signal at time 1 determines the information carried by the input signal at time k+1.

The processor 1002 is specifically configured to determine a mode of the output signal at the time k+1; determine the k+1 according to a mode of the output signal at the k+1 time and a plurality of preset ranges corresponding to the plurality of information The information carried by the input signal at the moment.

FIG. 11 is a structural block diagram of an apparatus for processing a signal according to an embodiment of the present invention. The apparatus 1100 shown in FIG. 11 can perform the various steps of the method shown in FIG. 2. As shown in FIG. 11, the device 1100 includes a transceiver circuit 1101 and a processor 1102.

The processor 1102 is configured to determine a first error value of the k time according to the first output signal at time k, and determine a second error value of the k time according to the second output signal at the k time.

The transceiver circuit 1101 is configured to receive a digital signal at time k+1.

The processor 1102 is configured to perform signal resampling, fiber link dispersion estimation, and dispersion compensation processing on the digital signal received at the k+1 time, and acquire a first input signal at time k+1 and a second input signal at time k+1. An input signal, wherein polarization directions of the first input signal and the second input signal are different.

The processor 1102 is further configured to determine information carried by the first input signal at the time k+1 according to the first error value at the time k, and determine the first time of the k+1 time according to the second error value at time k The information carried by the two input signals.

According to the apparatus shown in FIG. 11, when the blind equalization detection of the input signal is performed, the assistance of the training sequence is not required, and the system overhead is reduced. At the same time, the output signal can be directly judged without frequency difference and phase compensation. Thus, according to the design difficulty of the apparatus shown in FIG. 11, the apparatus shown in FIG. 11 can be a low power consumption, low complexity apparatus (for example, a digital signal processing chip).

The processor 1102 is configured to perform a DC offset amplitude adjustment on the first output signal at the k time according to the DC offset amplitude to determine the first adjustment signal at the k time; the first adjustment signal at the k time Performing constellation mapping to determine a first mapping signal at the k-time, wherein normalized modulus values of all constellation points in the first mapping signal at the k-time are the same; according to the first mapping signal and the reference average power at the k-time Determining a first error value at the time k; and performing a DC-offset amplitude adjustment on the second output signal at the k-time according to the DC offset amplitude to determine a second adjustment signal at the k-time; The second adjustment signal performs constellation mapping to determine a second mapping signal at the time k, wherein the normalized modulus values of all constellation points in the second mapping signal at the k-time are the same; the second mapping according to the k-time The signal and the reference average power determine a second error value at the k-time.

The processor 1102 is specifically configured to determine the first adjustment signal at the k time and the second adjustment signal at the k time using Equations 1.4 and 1.5, respectively. The processor 1102 is specifically configured to determine the first mapping signal at the k time and the second mapping signal at the k time using Equations 1.6 and 1.7, respectively. The processor 1102 is specifically configured to determine a first error value at the k time and a second error value at the k time using Equations 1.8 and 1.9, respectively.

The processor 1102 may further determine the first mapping signal at the k-time and the second mapping signal at the k-time, and may determine the first mapping signal at the k-time and the second-time at the k-time by, for example, looking up a table or the like. Map the signal.

The processor 1102 is specifically configured to determine, according to the first error value at the time k, the filter coefficient at time k+1; and determine, according to the filter coefficient at the time k+1, the first output signal at the time k+1; Determining information carried by the first input signal at the k+1 time according to the first output signal at the k+1 time; determining a filter coefficient at time k+1 according to the second error value at the k time; The filter coefficient at time k+1 determines the second output signal at the time k+1; and determines the information carried by the second input signal at the time k+1 according to the second output signal at the time k+1.

The processor 1102 is specifically configured to determine a mode of the first output signal at the time k+1; determine a first time of the k+1 time according to a mode of the first output signal at the k+1 time and a plurality of preset ranges Input information carried by the signal, wherein the plurality of preset ranges are in one-to-one correspondence with the plurality of information; determining the k+1 a mode of the second output signal at the moment; determining, according to the modulus of the second output signal at the time k+1 and the plurality of preset ranges, information carried by the second input signal at the time k+1, wherein the plurality of pre- The range is in one-to-one correspondence with multiple pieces of information.

Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the various examples described in connection with the implementations disclosed herein can be implemented in electronic hardware, or in combination with computer hardware and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the solution. A person skilled in the art can use different methods for implementing the described functions for each particular application, but such implementation should not be considered to be beyond the scope of the present invention.

A person skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the system, the device and the unit described above can refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.

In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

The functions may be stored in a computer readable storage medium if implemented in the form of a software functional unit and sold or used as a standalone product. Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, or a part of the technical solution, may be embodied in the form of a software product, which is stored in a storage medium, including The instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to perform the methods of the various embodiments of the present invention. All or part of the steps. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .

The above is only a specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of changes or substitutions within the technical scope of the present invention. All modifications are intended to be included within the scope of the invention, and the scope of the invention should be

Claims

A method of processing a signal, the method comprising:

Determining an error value of the k time according to an output signal at time k;

Obtaining an input signal at time k+1, wherein the input signal at the time k+1 is a signal obtained by signal resampling, fiber link dispersion estimation, and dispersion compensation processing;

And determining, according to the error value at the time k, the information carried by the input signal at the time k+1.
The method according to claim 1, wherein the determining the error value of the k time according to the output signal at time k includes:

De-DC bias amplitude adjustment is performed on the output signal at time k according to a DC offset amplitude to determine an adjustment signal at the k-time;

Performing constellation mapping on the adjusted signal at time k to determine a mapping signal at the time k, wherein normalized modulus values of all constellation points in the mapped signal at time k are the same;

The error value of the k time is determined according to the mapping signal at the k time and the reference average power.
The method of claim 2, wherein the performing a DC offset amplitude adjustment on the output signal at the k-time according to a DC offset amplitude to obtain the adjustment signal at the k-time comprises:

The adjustment signal at time k is determined using the following formula:

r' k =|r k |-DC ref ,

Wherein, r 'k denotes an adjustment signal of the time k, r k denotes the output signal of the time k, DC ref represents the DC offset amplitude.
The method according to claim 2 or 3, wherein the performing constellation mapping on the adjustment signal at the k-time to obtain the mapping signal at the k-time includes:

The mapping signal at time k is determined using the following formula:

r k-trans = mod(r' k ,sign(r' k )×2),

Where r k-trans represents the mapping signal at time k, and r' k represents the adjustment signal at the k time.
The method according to any one of claims 2 to 4, wherein the determining the error value of the k-time according to the mapping signal at the k-time and the reference average power comprises:

The error value at time k is determined using the following formula:

Err k =|r k-trans | 2 -P ref ,

Where err k represents the error value at time k, r k-trans represents the mapping signal at time k, and P ref represents the reference average power.
The method according to any one of claims 1 to 5, wherein the determining, according to the error value of the time k, the information carried by the input signal at the time k+1, comprising:

Determining, according to the error value at time k, a filter coefficient at time k+1;

Determining an output signal of the k+1 time according to the filter coefficient of the k+1 time;

And determining, according to the output signal of the k+1 time, information carried by the input signal at the time k+1.
The method according to claim 6, wherein the determining, according to the output signal of the k+1 time, the information carried by the input signal at the time k+1, comprises:

Determining a mode of the output signal at the time k+1;

Determining information carried by the input signal at the time k+1 according to a mode of the output signal at the k+1 time and a plurality of preset ranges corresponding to the plurality of information.
An apparatus for processing a signal, the apparatus comprising:

a determining unit, configured to determine an error value of the k time according to an output signal at time k;

An acquiring unit, configured to perform signal resampling, fiber link dispersion estimation, and dispersion compensation processing on the digital signal received at time k+1, and acquire an input signal at the k+1 time;

The determining unit is further configured to determine, according to the error value of the k time, information carried by the input signal at the time k+1.
The apparatus according to claim 8, wherein the determining unit is configured to perform a DC-DC offset amplitude adjustment on the output signal at the k-time according to a DC offset amplitude to obtain the k-time Adjusting a signal; performing constellation mapping on the adjusted signal at time k to obtain a mapping signal at the time k, wherein normalized modulus values of all constellation points in the mapped signal at time k are the same; according to the k The time-mapped signal and the reference average power determine the error value at the k-time.
The apparatus according to claim 9, wherein the determining unit is specifically configured to determine the adjustment signal of the k time using the following formula:

r' x,k+1 =|r x,k |-DC ref ,

Wherein, r 'k denotes the k time adjustment signal, an output signal of the R & lt k at time k, representing the DC offset amplitude.
The apparatus according to claim 9 or 10, wherein the determining unit is specifically configured to determine the mapping signal at the time k by using the following formula:

r k = mod(r' k ,sign(r' k )×2),

Where r k represents the mapping signal at the k-time and r′ k represents the adjustment signal at the k-time.
The apparatus according to any one of claims 9 to 11, wherein the determining unit is specifically configured to determine an error value of the k time using the following formula:

Err k =|r k | 2 -P ref ,

Where err k represents the error value at time k, r k represents the mapping signal at time k, and P ref represents the reference average power.
The apparatus according to any one of claims 8 to 12, wherein the determining unit is specifically configured to determine a filter coefficient at time k+1 according to an error value of the k time; according to the k The filter coefficient of the +1 time determines the output signal of the k+1 time; and determines the information carried by the input signal of the k+1 time according to the output signal of the k+1 time.
The apparatus according to claim 13, wherein the determining unit is specifically configured to determine a mode of the output signal at the k+1 time; and a mode and a plurality of output signals according to the k+1 time The plurality of preset ranges corresponding to the information one-to-one determine the information carried by the input signal at the time k+1.