CN117155742A - Signal processing methods, devices, equipment, systems and media - Google Patents

Abstract

Disclosed are a signal processing method, device, equipment, system and medium, which belong to the field of communication technology. The method includes: a receiving device obtains a received signal sequence based on a received signal, and the received signal sequence carries multiple bits; based on the received signal sequence, obtains a joint soft information set of multiple bit groups; based on the multiple bit groups Combine the soft information set to perform FEC decoding; wherein any bit group in the plurality of bit groups includes N bits with consecutive positions in the plurality of bit groups, and for any adjacent bit group in the plurality of bit groups, Two bit groups, the first X bits of the latter bit group are the last X bits of the previous bit group, where N is greater than 1 and N is an integer, 1 ≤ The joint soft information set of the target bit group in the bit group is used to indicate the probability of the value of the target bit group. This method is beneficial to improve the accuracy of FEC decoding.

Description

Signal processing methods, devices, equipment, systems and media

Technical field

The present application relates to the field of communication technology, and in particular to a signal processing method, device, equipment, system and medium.

Background technique

During signal transmission, signals usually suffer from intersymbol intrference (ISI), which affects the performance of the communication system.

In the related art, the receiving device can perform a series of processing on the signal received from the communication link to obtain a received signal sequence, which carries multiple bits; then, the receiving device performs sequence detection on the received signal sequence to obtain each The bit soft information of each bit; finally, the receiving device performs forward error correction (FEC) decoding based on the bit soft information of each bit to restore the original signal.

This FEC decoding method has poor ISI suppression effect and low decoding accuracy.

Contents of the invention

This application provides a signal processing method, device, equipment, system and medium, which is beneficial to reducing ISI and improving decoding accuracy.

On the one hand, a signal processing method is provided. The method includes: a receiving device obtains a received signal sequence based on a received signal, and the received signal sequence carries multiple bits; based on the received signal sequence, obtains a joint soft information set of multiple bit groups; based on the multiple bit groups Combined soft information set for forward error correction FEC decoding. Wherein, any one of the plurality of bit groups includes N consecutive bits in the plurality of bits, N is greater than 1 and N is an integer. For any two adjacent bit groups among the plurality of bit groups, the first X bits of the latter bit group are the last X bits of the previous bit group. Among them, 1≤X≤N-1 and X is an integer. The joint soft information set of the target bit group in the plurality of bit groups is used to indicate the probability of the value of the target bit group. The target bit group is any bit group among multiple bit groups.

Since the first X bits of the next bit group in the adjacent bit group are the last X bits of the previous bit group, 1≤X≤N-1 and X is an integer. In this way, the associated soft information set of the bit group can describe the association between adjacent bits, thereby reflecting the ISI-related information. Therefore, FEC decoding based on the joint soft information set of multiple bit groups is beneficial to reducing ISI and improving decoding. accuracy.

Here, the value of X can be set according to requirements such as the accuracy of the decoding algorithm and the complexity of the algorithm. In some examples, X is equal to N minus 1, that is, the first bit in the previous bit group is different from the last bit in the following bit group. This bit group division method can more fully reflect ISI-related information and further improve the accuracy of decoding.

In some examples, performing FEC decoding based on a joint soft information set of multiple bit groups includes: determining a second soft information sequence based on a joint soft information set of multiple bit groups, and the second soft information sequence The reliability is higher than the reliability of the first soft information sequence, which is a bit soft information sequence equivalent to the joint soft information set of the plurality of bit groups; for the second soft information sequence The information sequence is FEC decoded.

The higher the reliability of the soft information sequence, the more accurate the FEC decoding result will be. Therefore, by improving the reliability of the first soft information sequence corresponding to the received signal sequence, the accuracy of FEC decoding can be improved.

Determining the second soft information sequence according to the joint soft information set of the plurality of bit groups includes: determining the m-th bit in the converted bit sequence from the soft information candidate value set of the m-th bit group to obtain the Convert the bit sequence, the soft information candidate value set of the m-th bit group is obtained based on the bit soft information of the m-th bit to the m+N-1 bit in the first soft information sequence, and the m-th bit group Including the m-th bit to the m+N-1 bit among the multiple bits carried by the received signal sequence, where m is an integer; according to the m-th bit in the converted bit sequence and the m-th bit in the first soft information sequence The relationship between the m-th bit to the m+N-1 bit, using the joint soft information set of the m-th bit group, calculates the bit soft information of the m-th bit in the second soft information sequence to obtain the The second soft information sequence.

The receiving device performs sequence detection on the received sequence signal through the sequence detection module to obtain a joint soft information set of the bit group, and then sends the joint soft information set of the bit group to the FEC decoding module for decoding. The joint soft information set of the bit group is the soft information corresponding to the data of GF(2^N), including 2^N-1 joint soft information. When the decoding algorithm used by the FEC decoding module is a bit-based decoding algorithm, FEC decoding The module needs to first map the joint soft information output by the sequence detection module into soft information corresponding to binary data, that is, bit soft information. Here, the conversion of the mapping relationship is achieved by determining the m-th bit in the conversion bit sequence from the soft information candidate value set obtained based on the first soft information sequence.

In some examples, the soft information candidate value set of the m-th bit group includes at least one of the following values: bit soft information from the m-th bit to the m+N-1th bit in the first soft information sequence; and The XOR value of the bit soft information of any Y bits from the mth bit to the m+N-1th bit in the first soft information sequence, where Y∈{2,...N}.

Here, the XOR value can reflect the correlation information between the bits among the multiple bits carried by the received signal sequence. When the reliability of the correlation information is higher than the reliability of a single bit, the XOR value is used to replace the first soft information sequence. Corresponding bits in to obtain the second soft information sequence can make the reliability of the second soft information sequence greater than the reliability of the first soft information sequence.

In some examples, the corresponding bit in the converted bit sequence may be determined based on the relationship between multiple bits of soft information with consecutive positions in the first soft information sequence. For example, when the mth bit to m+N-1th bit soft information in the first soft information sequence are the same, the mth bit to the m+N-1th bit in the first soft information sequence are The bit soft information of any bit in is determined as the m-th bit in the converted bit sequence. For another example, when the m-th bit to m+N-1 bit soft information in the first soft information sequence are different, the target candidate value in the soft information candidate value set of the m-th bit group is determined as For the mth bit in the converted bit sequence, the target candidate value is determined based on the joint soft information set of the mth bit group.

In other examples, hard judgment can be performed on the bit soft information in the first soft information sequence to obtain a binary bit sequence, and then the corresponding bits in the converted bit sequence are determined based on the values of multiple consecutive bits in the binary bit sequence. For example, when the values of the m-th bit to the m+N-1th bit in the binary bit sequence are the same, any one of the m-th bit to the m+N-1th bit in the first soft information sequence is The bit soft information is determined as the m-th bit in the converted bit sequence. For another example, when the values of the m-th bit to the m+N-1th bit in the binary bit sequence are different, the target candidate value in the soft information candidate value set of the m-th bit group is determined as the conversion bit. For the mth bit in the sequence, the target candidate value is determined based on the joint soft information set of the mth bit group.

It should be noted that when selecting the corresponding target candidate value according to the joint soft information set of the m-th bit group, the following requirements need to be met: each bit in the converted bit sequence is independent of each other and meets reliability requirements. Here, the reliability requirement may be that on the premise that each bit in the converted bit sequence is independent of each other, the reliability of each bit in the converted bit sequence is relatively high.

In this application, since the second soft information sequence is obtained by updating the first soft information sequence corresponding to the received signal sequence, the initial FEC check equation determined during FEC coding design cannot be used for the second soft information sequence. The information sequence is decoded. Therefore, it is necessary to first construct an FEC check equation based on the converted bit sequence; and then perform FEC decoding on the second soft information sequence based on the FEC check equation.

Constructing the FEC check equation based on the converted bit sequence means performing corresponding conversion on the initial FEC check equation based on the relationship between the bits in the second soft information sequence and the first soft information sequence.

In some examples, constructing an FEC check equation according to the converted bit sequence includes: determining target bit soft information in the first soft information sequence, and the target bit soft information is consistent with the converted bit sequence. Target bit association, the target bit is the XOR value of at least two bits of soft information in the first soft information sequence; based on the position of the target bit soft information in the first soft information sequence, construct the Describe the FEC calibration equation. When the target bit is the XOR value of at least two bits of soft information in the first soft information sequence, the initial FEC check equation needs to be converted according to the XOR relationship to obtain a new FEC check equation.

In a second aspect, a signal processing device is provided. The device includes: an acquisition module, a sequence detection module and a decoding module. The obtaining module is configured to obtain a received signal sequence based on the received signal, where the received signal sequence carries a plurality of bits. The sequence detection module is used to obtain a joint soft information set of multiple bit groups based on the received signal sequence. The decoding module is configured to perform FEC decoding according to the joint soft information set of the plurality of bit groups. Wherein, any bit group in the plurality of bit groups includes N bits with consecutive positions in the plurality of bits, and for any two adjacent bit groups in the plurality of bit groups, the latter bit The first X bits of the group are the last X bits of the previous bit group, where N is greater than and N is an integer, 1 ≤ The information set is used to indicate the probability of the value of the target bit group.

In some examples, the decoding module includes: a determining sub-module and a decoding sub-module. The determination sub-module is configured to determine a second soft information sequence based on the joint soft information set of the multiple bit groups. The reliability of the second soft information sequence is higher than the reliability of the first soft information sequence. The first soft information sequence is a bit soft information sequence equivalent to the joint soft information set of the plurality of bit groups. The decoding sub-module is used to perform forward error correction FEC decoding on the second soft information sequence.

In some examples, the determination sub-module is configured to determine the m-th bit in the converted bit sequence from the soft information candidate value set of the m-th bit group to obtain the converted bit sequence, and the m-th bit group The soft information candidate value set is obtained based on the m-th bit to m+N-1 bit soft information in the first soft information sequence. The m-th bit group includes multiple bits carried by the received signal sequence. The m-th bit to m+N-1 bit in , where m is an integer; according to the m-th bit in the converted bit sequence and the m-th bit to m+N-1 bit in the first soft information sequence The relationship between them is to use the joint soft information set of the m-th bit group to calculate the bit soft information of the m-th bit in the second soft information sequence to obtain the second soft information sequence.

In some examples, the soft information candidate value set of the m-th bit group includes at least one of the following values: the m-th bit to m+N-th bit soft information in the first soft information sequence; and the The XOR value of the bit soft information of any Y bits from the mth bit to the m+N-1th bit in the first soft information sequence, where Y∈{2,...N}.

In some examples, the determining sub-module is configured to determine the m-th bit in the converted bit sequence from the soft information candidate value set of the m-th bit group in the following manner: when the first soft information sequence , when the bit soft information of the m-th bit to the m+N-1th bit is the same, determine the bit soft information of any one of the m-th bit to the m+N-1th bit in the first soft information sequence. is the m-th bit in the converted bit sequence; or, when the bit soft information from the m-th bit to the m+N-1th bit in the first soft information sequence is different, the soft information candidate values in the soft information candidate value set are The target candidate value is determined to be the m-th bit in the converted bit sequence, the target candidate value is determined based on the joint soft information set of the m-th bit group, and the bits in the converted bit sequence are independent of each other.

In other examples, the device further includes a decision module, which is configured to perform a hard decision on the bit soft information in the first soft information sequence to obtain a binary bit sequence. The determination sub-module is used to determine the m-th bit in the conversion bit sequence from the soft information candidate value set in the following manner: when in the binary bit sequence, the m-th bit ~ m+N-1 When the bit values are the same, the bit soft information of any bit from the m-th bit to the m+N-1 bit in the first soft information sequence is determined to be the m-th bit in the converted bit sequence; or, when In the binary bit sequence, when the values of the mth bit to the m+N-1th bit are different, the target candidate value in the soft information candidate value set is determined to be the mth bit in the conversion bit sequence, and the target The candidate value is determined based on the joint soft information set of the m-th bit group, and the bits in the converted bit sequence are independent of each other.

In some examples, the decoding submodule is configured to construct an FEC check equation according to the converted bit sequence; and perform FEC decoding on the second soft information sequence based on the FEC check equation.

In some examples, the decoding sub-module is configured to determine target bit soft information in the first soft information sequence, where the target bit soft information is associated with a target bit in the converted bit sequence, and the target bit is the XOR value of at least two bits of soft information in the first soft information sequence; based on the position of the target bit soft information in the first soft information sequence, the FEC check equation is constructed.

In some examples of the first aspect or the second aspect, the target bit group includes N bits, and the joint soft information set of the target bit group includes 2 to the Nth power minus 1 joint soft information. In the 2 to the Nth power minus the joint soft information, each joint soft information is the ratio of the probability that the value of the target bit group is the reference value and the probability that the value of the target bit group is the first value. number, wherein the reference value is any one of the possible values of the target bit group, and the first value is any one of the possible values of the target bit group except the reference value. kind of value.

In a third aspect, a receiving device is provided. The receiving device includes a processor and a memory; the memory is used to store a software program, and the processor executes the software program stored in the memory so that the The receiving device implements the method in any possible implementation manner of the first aspect.

In a fourth aspect, a computer-readable storage medium is provided. The computer-readable storage medium stores computer instructions. When the computer instructions in the computer-readable storage medium are executed by a computer device, the computer device executes the first aspect. Any possible implementation method.

A fifth aspect provides a communication system. The communication system includes a sending device and a receiving device. The sending device and the receiving device are connected through a transmission link. The receiving device is configured to perform the method of any possible implementation of the first aspect.

A sixth aspect provides a computer program product containing instructions that, when run on a computer device, causes the computer device to execute any of the possible implementation methods of the first aspect.

In a seventh aspect, a chip is provided, including a processor. The processor is configured to call and run instructions stored in the memory, so that the communication device installed with the chip executes any possibility of the first aspect. method in the implementation.

In an eighth aspect, another chip is provided, including: an input interface, an output interface, a processor, and a memory. The input interface, the output interface, the processor, and the memory are connected through an internal connection path. The processing The processor is configured to execute the code in the memory. When the code is executed, the processor is configured to execute the method in any possible implementation manner of the first aspect.

Description of the drawings

Figure 1 is a schematic structural diagram of a communication system provided by an embodiment of the present application;

Figure 2 is a schematic flow chart of a signal processing method provided by an embodiment of the present application;

Figure 3 is a schematic diagram of the soft information iteration relationship provided by the embodiment of the present application;

Figure 4 is a schematic structural diagram of a signal processing device provided by an embodiment of the present application;

Figure 5 is a schematic structural diagram of a computer device provided by an embodiment of the present application.

Detailed ways

In order to better understand the signal processing method provided by the embodiment of the present application, the communication system to which the signal processing method provided by the embodiment of the present application is applied is first described below.

A communication system usually includes a sending device and a receiving device. The sending device and the receiving device are connected through a transmission link. The sending device sends signals to the receiving device through the transmission link. The signal transmission system may be an optical transmission system, correspondingly, the sending device may be an optical transmitter, the receiving device may be an optical receiver, and the transmission link may be an optical link. Alternatively, the signal transmission system may be a wireless transmission system, correspondingly, the sending device may be a wireless sending device, the receiving device may be a wireless receiving device, and the transmission link may be a wireless link. The signal transmission system can also be a cable transmission system, and correspondingly, the transmission link can be a cable link. The transmission link includes transmission media and transmission devices. For example, the optical link usually includes optical transmission media such as optical fibers, and may also include optical devices such as optical amplifiers and optical connectors. This is not limited in the embodiments of the present application.

The embodiments of the present application will be described in detail below with reference to the accompanying drawings, taking an optical communication system as an example.

Figure 1 is a schematic structural diagram of a communication system provided by an embodiment of the present application. As shown in FIG. 1 , the communication system includes a sending device 11 and a receiving device 12 . The sending device 11 and the receiving device 12 are connected through a transmission link 13 .

Among them, the sending device 11 includes an FEC encoding module (also called an encoder) 111, a modulation module (also called a modulator) 112 and a light source 113.

The FEC encoding module 111 is used to group the original signals, and perform FEC encoding on the bits included in each group to obtain an FEC encoded signal. For example, if the Galois field (GF) of the FEC coding module is GF(2^n), the FEC coding module 111 can group every n bits of the original signal to correspond to one symbol, and The symbols are FEC encoded to obtain the FEC encoded signal. For example, the FEC encoding module uses Reed-solomon (RS) code or the like for encoding. The modulation module 112 is used to modulate the optical signal output by the light source 113 using the FEC encoded signal, and send the modulated optical signal to the receiving device 12 through the transmission link 13 . The light source 113 may include a light emitting device such as a laser. The embodiments of this application do not limit the structure and type of the laser.

The functions of the FEC encoding module 111 and the modulation module 112 shown in this embodiment can be implemented by software. Specifically, the processor included in the sending device executes the computer program stored in the memory to execute the functions corresponding to the above modules. Each of the above modules may also be an independent chip for performing corresponding functions.

The receiving device 12 includes a local laser 121, a front-end module 122, an analog-to-digital converter 123, a dispersion compensation module 124, an equalization module (also known as an equalizer) 125, a phase recovery module 126, and a post-filter module (also known as a post-filter) 127. Sequence detection module 128 and FEC decoding module (also called decoder) 129.

The front-end module 122 is used to mix the optical signal from the sending device 11 and the signal from the local laser 121, and convert the mixed optical signal into an electrical signal. The analog-to-digital converter 123 is used to convert the electrical signal into a digital signal, and then outputs the digital signal to the dispersion compensation module 124 . The dispersion compensation module 124 is used to compensate for the dispersion generated during the transmission process of the digital signal to obtain a dispersion compensation signal. The equalization module 125 is used to perform depolarization multiplexing and channel impairment compensation on the dispersion compensation signal. The phase restoration module 126 is used to perform phase restoration on the signal output by the equalization module 125 and output the phase-restored signal to the post-filter module 127 . The post-filtering module 127 is used to filter the phase-restored signal to obtain a received signal sequence. In the process of filtering the phase-restored signal by the post-filtering module 127, ISI will be introduced. The sequence detection module 128 is configured to perform sequence detection on the received signal sequence output by the post-filtering module 127 to obtain a joint soft information set of multiple bit groups, and output the joint soft information set of multiple bit groups to the FEC decoding module 129 . The complexity of sequence detection is related to the number of taps of the post-filter of the post-filter module (that is, the memory length of the ISI). The FEC decoding module 129 is configured to perform FEC decoding based on the joint soft information set of multiple bit groups to obtain the original signal.

Regarding the joint soft information set of the bit group and the process of performing FEC decoding based on the joint soft information set of multiple bit groups, please refer to the method embodiment below.

The functions of the front-end module 122, analog-to-digital converter 123, dispersion compensation module 124, equalization module 125, phase recovery module 126, post-filtering module 127, sequence detection module 128 and FEC decoding module 129 shown in this embodiment can be implemented by software. , Specifically, the processor included in the receiving device executes the computer program stored in the memory to execute the functions corresponding to each of the above modules. Each of the above modules may also be an independent chip for performing corresponding functions.

It should be noted that the description of the structures of the sending device 11 and the receiving device 12 in this embodiment is an optional example and is not limiting, as long as the sending device 11 can convert the original signal into an optical signal and transmit it to the receiving device 12. Yes, the receiving device 12 can convert the optical signal from the sending device 11 into the original signal.

Figure 2 is a schematic flowchart of a signal processing method provided by an embodiment of the present application. This method can be performed by the receiving device. As shown in Figure 2, the method includes:

201: The receiving device obtains the received signal sequence based on the received signal.

The received signal sequence includes a plurality of time-sampled received signals, each of which carries at least one bit (also called an information bit). After the sending device encodes and modulates the original information bits, it forms a sending signal and sends it to the receiving device through the transmission link. The receiving device processes the received signal received from the transmission link to obtain a received signal sequence. Since the transmitted signal will be affected by noise and ISI when it is transmitted through the transmission link, the receiving device will make a misjudgment when making a decision based on the received signal sequence, causing the information bits obtained by the decision to be different from the information bits carried by the transmitted signal. Therefore, the received signal sequence needs to be processed to reduce the possibility of misjudgment.

When the communication system is an optical communication system, the received signal is an optical signal. The optical signal is sent by the sending device to the receiving device through an optical link.

For example, when the received signal is an optical signal, step 201 includes: a first step, converting the received optical signal into an electrical signal; a second step, converting the electrical signal to obtain a received signal sequence. Here, conversion includes but is not limited to dispersion compensation, equalization, phase recovery, filtering, etc. For example, the receiving device can sequentially convert the electrical signals through the dispersion compensation module 124, the equalization module 125, the phase recovery module 126 and the post-filtering module 127 in Figure 1 to obtain a received signal sequence. That is to say, in this embodiment of the present application, the received signal sequence refers to the signal output by the post-filtering module.

202: The receiving device obtains a joint soft information set of multiple bit groups based on the received signal sequence.

Among them, each bit group includes multiple consecutive bits among the multiple bits carried by the received signal sequence, and for any two adjacent bit groups, the first X bits of the latter bit group are the last bits of the previous bit group. X bits. Assuming that each bit group includes N consecutive bits, X satisfies the following conditions: 1≤X≤N-1 and X is an integer.

In some examples, X is equal to N minus 1, that is, the first bit in the previous bit group is different from the last bit in the following bit group. This bit group division method can more fully reflect ISI-related information and further improve the accuracy of decoding.

For example, assume that the first bit group includes the 1st to Nth bits, and the second bit group includes the 2nd to N+1th bits. Then, the 2nd to N symbols are the last X bits in the previous bit group and the first X bits in the next bit group, and X is equal to N-1. Among them, N is an integer and N is greater than 1. For example, N equals 2 or 3 and so on.

For example, take the bit stream carried by the received signal sequence as {b ₁ b ₂ b ₃ b ₄ ...} and each bit group includes two bits. The first bit group is {b 1 b 2}, and the second bit group is {b ₁ b ₂ }. The first bit group is {b ₂ b ₃ }, and the third bit group is {b ₃ b ₄ }... It can be seen that the second bit in the first bit group is the same as the first bit in the second bit group. The first bit in the second bit group is the same as the first bit in the third bit group, both are b3; and so on.

It should be noted that X can be set as needed, for example, X is equal to 1 or X is equal to 2, etc., as long as it can ensure that the same bits exist in two adjacent bit groups, and the decoding accuracy meets the requirements.

In the embodiment of the present application, N is equal to the order of GF of the FEC decoding module in the receiving device (that is, the order of GF of the FEC encoding module in the sending device). For example, if the GF of the FEC decoding module is (2^n), then N is equal to n.

In some examples, the set of joint soft information for each bit group includes 2 ^N -1 joint soft information. Each joint soft information is the logarithm of the ratio of the probability that the target bit group takes the value of the reference value and the probability that the target bit group takes the first value. The reference value is any one of the possible values of the target bit group, and the first value is any one of the possible values of the target bit group except the reference value.

Here, the target bit group is any one of the aforementioned bit groups. In some examples, the base value is N zeros. In other examples, the reference value can also be selected according to actual needs, and can be any of all possible values (2 ^N possible values) of the original bit group corresponding to the target bit group. The first value is a value different from the reference value among all possible values of the original bit group corresponding to the target bit group.

The following is an example of a joint soft information set of bit groups.

Example 1.

As an example, the number of taps of the post-filter is 3, that is, the memory length of ISI is L=3, and the optical signal is a binary phase shift keying (BPSK) signal (one bit of information maps to one constellation point).

Assume that the receiving device converts the optical signal from the sending device to obtain the received signal sequence {b ₁ b ₂ b ₃ b ₄ b ₅ b ₆ ……}. If the receiving device determines that the number of bits contained in each bit group is 2 according to the GF of the FEC decoding module. Then the received signal sequence is grouped, and the obtained bit groups are {b ₁ b ₂ }, {b ₂ b ₃ }, {b ₃ b ₄ }...

If the target bit group is {b ₁ b ₂ }, then among all possible values of the target bit group, values other than the reference value respectively correspond to a joint soft information. Therefore, the joint soft information set of the target bit group includes 3 joint soft information, as shown in Table 1 below:

Table 1

It can be seen that the receiving device can obtain the joint soft information set of multiple bit groups for the multiple bits carried by the received signal sequence as {b ₁ b ₂ b ₃ b ₄ ...}. Among them, the first soft information set is the joint soft information set of the bit group {b ₁ b ₂ }, and the second soft information set is the joint soft information set of the bit group {b ₂ b ₃ }... For each bit group For the description of the joint soft information set, please refer to the above description of the joint soft information set of the target bit group {b ₁ b ₂ }, which will not be described again here.

Example 2.

Take the number of taps of the post-filter as 3, that is, the memory length of ISI is L=3, and the optical signal is a BPSK signal as an example.

Assume that the receiving device converts the optical signal from the sending device to obtain the received signal sequence {b ₁ b ₂ b ₃ b ₄ b ₅ b ₆ ……}. If the receiving device determines that the number of bits contained in each bit group is 3 according to the GF of the FEC decoding module. Then the received signal sequence is grouped, and the obtained bit groups are {b ₁ b ₂ b ₃ }, {b ₂ b ₃ b ₄ }, {b ₃ b ₄ b ₅ }...

If the target bit group is {b ₁ b ₂ b ₃ }, then the joint soft information set of the target bit group includes 7 joint soft information. For details, see Table 2 below:

Table 2

It can be seen that the receiving device can obtain multiple joint soft information sets for the multiple bits carried by the received signal sequence as {b ₁ b ₂ b ₃ b ₄ b ₅ b ₆ ...}, the first one, where the first soft information set is The information set is the joint soft information set of the bit group {b ₁ b ₂ b ₃ }, and the second soft information set is the joint soft information set of the bit group {b ₂ b ₃ b ₄ }... The joint soft information set of each bit group For the description of the information set, please refer to the above description of the joint soft information set of the target bit group {b ₁ b ₂ b ₃ }, which will not be described again here.

For a detailed description of the joint soft information set when the number of bits in the bit group is greater than 3, please refer to the case where the number of bits in the bit group is equal to 2 or 3, which will not be described again here.

In other examples, the soft information in the joint soft information set of the target bit group can also be expressed in the following manner: the probability that the value of the target bit group is the reference value and the probability that the value of the target bit group is the first value. ratio. In some examples, the soft information in the joint soft information set of the target bit group can also be directly represented by the probability of the value of the target bit group.

This step 202 may be performed by the sequence detection module. The sequence detection module performs sequence detection on the received signal sequence to obtain the joint soft information set of each bit group; and then outputs the joint soft information set of each bit group to the FEC decoding module. When implemented, the sequence detection module usually uses a digital signal processor (DSP).

Optionally, the sequence detection module shown in this embodiment can calculate part of the joint soft information in the joint soft information set of the target bit group through the above formula. For example, in the case where the joint soft information set of the target bit group has 2 to the Nth power of joint soft information, the sequence detection module can calculate 2 to the Nth power minus 2 joint soft information through the above formula, and then According to the sum of the probabilities of all possible values of the target bit group equal to 1, the remaining joint soft information is calculated.

The following will take the probability that the joint soft information is the value corresponding to the bit group as an example to explain how the sequence detection module calculates the joint soft information of the target bit group. It should be noted that when the joint soft information of the target bit group is the logarithm of the ratio of the probability that the value of the target bit group is the reference value and the probability that the target bit group is the first value, the bit group can be The probability of the corresponding value is converted.

In this embodiment of the present application, the calculation of joint soft information is implemented through multiple iterative processes based on confidence propagation. The sequence detection module includes multiple information nodes and multiple check nodes. Each check node is connected to at least two information nodes, and each information node corresponds to a bit group. The connection here refers to a logical connection, which is used to transfer soft information between the check node and the information node.

Figure 3 is a schematic diagram of the iterative relationship of soft information provided by the embodiment of the present application, also called a tanner diagram. As shown in Figure 3, each circle represents an information node, and each box represents a check node.

In part (a) of Figure 3, each information node contains two bits, and two adjacent information nodes contain the same bit. For a 3-tap filter, the memory length of ISI is 3. Therefore, each check node needs to be associated with the bits corresponding to 3 consecutive received signals, that is, each check node needs to be associated with 3 bits. In the case where each information node contains two bits, each check node is connected to 2 information nodes, which can be associated with 3 bits. For example, the bits contained in the two information nodes connected by C ₁ are b1b2 and b2b3 respectively, then C ₁ can be associated with three bits b1, b2 and b3; the bits contained in the two information nodes connected by C ₂ are b2b3 respectively. and b3b4, then C ₂ can be associated with the three bits b2, b3 and b4; and so on.

By iterating the soft information back and forth between the information node b _k-1 b _k and the check node C _j , the joint soft information of the bit group b _k-1 b _k can be obtained. Here, the soft information passed on each connection between the box and the circle is the joint soft information of b _k-1 b _k . Among them, k is an integer greater than 1.

The process of soft information iteration between the information node b _k-1 b _k and the check node C _j is described in detail below.

definition is the soft information transmitted from the information node b _k-1 b _k to the check node C _j , and vice versa/> is the soft information transmitted from the check node C _j to the information node b _k-1 b _k .

Confidence propagation is an iterative process, including Calculate/> and by/> Calculate/> Calculate/> Through the averaging process, through multiple iterations, the joint soft information of information node b _k-1 b _k is finally obtained.

The following takes the 3-tap post filter and the iterative process of GF(4) as an example to illustrate the process of calculating the joint soft information of the bit group:

Initialization results in formula (1):

The first step is to Calculate/>

It can be obtained by the function of the soft information transmitted to C _j by all information nodes connected to C _j (except b _k-1 b _k itself).

Taking C ₁ as an example, the information nodes connected to C ₁ include bits b ₁ b ₂ and b ₂ b ₃ respectively, then able to pass function/> Obtained, that is, calculated using formula (2).

Among them, the joint soft information of the joint soft information transmitted by the check node C _j to the information node can be based on the received signal corresponding to the check node C _j and the bit pattern of all bits associated with the check node C _j in the received signal sequence. Euclidean distance calculation between.

Assume that the post-filter output signal corresponding to check node C ₁ is R, and the Euclidean distance between R and different bit patterns is defined as shown in formula (3).

In formula (3), 000, 001,...111 represent different bit patterns, Eu(*) represents the Euclidean distance between R and bit pattern *; σ ² represents the noise variance, h ₁ h ₂ h ₃ represents after 3 taps. Set the channel response corresponding to the filter.

Taking b ₁ b ₂ and C ₁ as an example, the joint soft information included in the joint soft information set passed by the check node C ₁ to the information node can be calculated using formula (4).

In formula (4), max(A, B) means taking the maximum value between A and B.

The second step is from Calculate/>

Soft information that can be passed to the information node b _k-1 b _k through all check nodes associated with b _k-1 b _k (except C ₁ itself)/> function is obtained.

Taking b ₂ b ₃ and C ₁ as an example, the check nodes related to b ₂ b ₃ include C ₁ and C ₂ respectively, then able to pass function/> Get, that is/> It can be calculated using formula (5).

In some examples, Equation (5) can be embodied as Equation (6).

Step 3: Repeat steps 1 and 2 until the specified number of iterations is reached.

The fourth step is to associate all b _k-1 b _k The joint soft information of b _k-1 b _k can be obtained by summing.

Still taking b ₂ b ₃ as an example, the check nodes related to b ₂ b ₃ include C ₁ and C ₂ respectively, then the joint soft information of b ₂ b ₃ is equal to and/> Sum. That is, the joint soft information of b ₂ b ₃ can be calculated using formula (7).

in, Represents the joint soft information of b ₂ b ₃ .

It should be noted that the calculation formula used to calculate joint soft information can have multiple split and simplified variants. This is only an example and does not serve as a limitation on the application.

In part (b) of Figure 3, each information node contains two bits, and two adjacent information nodes contain the same bit. For a 5-tap filter, the memory length of ISI is 5. Therefore, each check node needs to be associated with the bits corresponding to 5 consecutive received signals, that is, 5 bits. When each information node contains two bits, each check node is connected to 4 information nodes, which can be associated with 5 bits.

By iterating the soft information back and forth between the information node b _k-1 b _k and the check node C _j , the joint soft information of the bit group b _k-1 b _k can be obtained. Here, the soft information passed on each connection between the box and the circle is the joint soft information of b _k-1 b _k . Among them, k is an integer greater than 1. For the iterative process, please refer to the relevant content in part (a) of Figure 3, and a detailed description is omitted here.

In part (c) of Figure 3, each information node contains three bits, and two adjacent information nodes contain two identical bits. For a 5-tap filter, the memory length of ISI is 5. Therefore, each check node needs to be associated with the bits corresponding to 5 consecutive received signals, that is, 5 bits. In the case where each information node contains three bits, each check node is connected to 3 information nodes, which can be associated with 5 bits.

By iterating the soft information back and forth between the information node b _k-2 b _k-1 b _k and the check node C _j , the joint soft information of the bit group b _{k- 2} b _k-1 b _k can be obtained. Here, the soft information conveyed on each connection between the box and the circle is the joint soft information of b _k-2 b _k-1 b _k . Among them, k is an integer greater than 2. For the iterative process, please refer to the relevant content in part (a) of Figure 3, and a detailed description is omitted here.

It should be noted that if each information node contains three bits, and two adjacent information nodes contain the same bit. For a 5-tap filter, the memory length of ISI is 5. Each check node is connected to 2 information nodes, which can be associated with 5 bits. For example, the two information nodes connected by the check node C ₁ contain bits b ₁ b ₂ b ₃ and b ₃ b ₄ b ₅ respectively.

203: The receiving device obtains the first soft information sequence.

The first soft information sequence includes bit soft information of each bit carried by the received signal sequence. The first soft information sequence is equivalent to the joint soft information set of the aforementioned bit groups. Here, equivalent means that the soft information of each bit calculated based on the joint soft information set of the bit group is equal to the soft information of each bit in the first soft information sequence.

In some examples, in step 203, the sequence detection module performs sequence detection on the received signal sequence to obtain the first soft information sequence, and then outputs the first soft information sequence to the FEC decoding module.

Optionally, the sequence detection module can use algorithms such as Viterbi algorithm or BCJR (Bahl, Cocke, Jelinek and Raviv) algorithm to perform sequence detection on the signal output by the post-filter to obtain the reception of the post-filter output. The bit soft information of each bit carried by the signal sequence.

For example, if the sending device uses binary FEC coding to encode the original signal, the bit soft information of each bit can be calculated using formula (8).

In formula (8), L represents the bit soft information, and log represents the logarithm. p(b=0) represents the probability that the bit is 0, and p(b=0) represents the probability that the bit is 1.

Here, the sending device uses binary FEC encoding to encode the original signal as an example. In other embodiments, the sending device may also use non-binary FEC encoding to encode the original signal, which will not be detailed here. illustrate.

In other examples, in step 203, the FEC decoding module obtains the first soft information sequence based on the joint soft information set of each bit group output by the sequence detection module.

For the x-th bit of soft information in the first soft information sequence, the probability that the x-th bit is 0 is equal to the probability that the first bit in the x-th bit group is equal to 0. The sum of probabilities. The probability that the value of the x-th bit is 1 is equal to the sum of the probabilities corresponding to the values of the first bit in the x-th bit group that is equal to 1.

For example, assuming that the target bit group includes two bits b1 and b2, the bit soft information of bit b1 can be calculated using the following formulas (9) and (10).

p(b1＝0)=(p(b1b2＝00)+p(b1b2＝01)) (9)

p(b1＝1)=(p(b1b2＝10)+p(b1b2＝11)) (10)

In formula (9), p(b1=0) represents the probability that b1 is equal to 0, p(b1b2=00) represents the probability that b1b2 is equal to 00, and p(b1b2=01) represents the probability that b1b2 is equal to 01. In formula (10), p(b1=1) represents the probability that b1 is equal to 1, p(b1b2=10) represents the probability that b1b2 is equal to 10, and p(b1b2=11) represents the probability that b1b2 is equal to 11.

204: Determine the m-th bit in the converted bit sequence from the soft information candidate value set of the m-th bit group to obtain the converted bit sequence.

The m-th bit group includes the m-th bit to m+N-1 bits (N bits in total) among the multiple bits carried by the received signal sequence. Among them, m is an integer, and N is an integer greater than 1.

The receiving device usually performs sequence detection on the received sequence signal through the sequence detection module to obtain a joint soft information set of the bit group, and then sends the joint soft information set of the bit group to the FEC decoding module for decoding. The joint soft information set of the bit group is the soft information corresponding to the data of GF(2^N), including 2^N-1 joint soft information. When the decoding algorithm used by the FEC decoding module is a bit-based decoding algorithm, FEC decoding The module needs to first map the joint soft information output by the sequence detection module into soft information corresponding to binary data, that is, bit soft information. Here, the conversion of the mapping relationship is achieved by determining the m-th bit in the conversion bit sequence from the soft information candidate value set obtained based on the first soft information sequence.

In this embodiment of the present application, the soft information candidate value set of the m-th bit group is obtained based on the bit soft information of the m-th bit to the m+N-1th bit in the first soft information sequence.

In some examples, the soft information candidate value set of the m-th bit group includes at least one of the following values: bit soft information of the m-th bit to m+N-1 bit in the first soft information sequence; and the first soft information The XOR value of the bit soft information of any Y bits from the mth bit to the m+N-1th bit in the sequence, where Y∈{2,...N}.

Here, the XOR value can reflect the correlation information between the bits among the multiple bits carried by the received signal sequence. When the reliability of the correlation information is higher than the reliability of a single bit, the XOR value is used to replace the first soft information sequence. Corresponding bits in to obtain the second soft information sequence can make the reliability of the second soft information sequence greater than the reliability of the first soft information sequence.

For example, the soft information candidate value set of the m-th bit group includes: the m-th bit to the m+N-1 bit soft information in the first soft information sequence; and the m-th bit to the m+-th bit in the first soft information sequence. The XOR value of the bit soft information of any consecutive Y bits in N-1 bits, where Y∈{2,...N}.

For another example, the soft information candidate value set of the m-th bit group includes: the m-th bit to the m+N-1 bit soft information in the first soft information sequence; and the m-th bit to the m-th bit in the first soft information sequence. The XOR value of any Y bits of soft information in +N-1 bits, where Y∈{2,...N}.

In this embodiment of the present application, the position of the bit soft information that needs to be XORed in the soft information candidate value set can be determined through experiments.

It should be noted that, in addition to using the XOR value of any Y bits of bit soft information as the candidate value in the soft information candidate value set, in other embodiments, any Y bits of bit soft information can also be used. Other logical operation values can be used as candidate values in the soft information candidate value set, as long as they are beneficial to improving the reliability of each bit in the converted bit sequence, and this application does not impose restrictions on this.

In some implementations, the corresponding bit in the converted bit sequence is determined according to the relationship between multiple bits of soft information with consecutive positions in the first soft information sequence.

For example, when the soft information bits from the mth bit to the m+N-1th bit in the first soft information sequence are the same, any bit from the mth bit to the m+N-1th bit in the first soft information sequence is The bit soft information is determined as the m-th bit in the converted bit sequence. When the bit soft information of the m-th bit to the m+N-1 bit is the same, it means that the reliability of these N bits is high, so the bit soft information of any bit can be used as the m-th bit in the converted bit sequence. . For example, the m+N-1th bit in the first soft information sequence is determined as the mth bit in the converted bit sequence.

For another example, when the m-th bit to m+N-1 bit soft information in the first soft information sequence are different, the target candidate value in the soft information candidate value set of the m-th bit group is determined as the converted bit For the mth bit in the sequence, the target candidate value is determined based on the joint soft information set of the mth bit group.

When the bit soft information of the m-th bit to the m+N-1 bit is different, it means that there may be errors in these N bits. Therefore, it is necessary to determine the new bit based on the joint soft information set of the m-th bit group, so that the Bit reliability increases. For example, when a certain bit is less reliable, but the correlation between that bit and other bits is more reliable. Using XOR values to replace corresponding bits in the first soft information sequence to obtain the second soft information sequence can make the reliability of the second soft information sequence greater than the reliability of the first soft information sequence.

In other embodiments, hard judgment can be performed on the bit soft information in the first soft information sequence to obtain a binary bit sequence, and then the corresponding bits in the converted bit sequence are determined based on the values of multiple consecutive bits in the binary bit sequence. For example, when the value of the m-th bit to the m+N-1th bit in the binary bit sequence is the same, the bit soft information of any one of the m-th bit to the m+N-1th bit in the first soft information sequence is , determined as the m-th bit in the converted bit sequence. For another example, when the values of the m-th bit to the m+N-1 bit in the binary bit sequence are different, the target candidate value in the soft information candidate value set of the m-th bit group is determined to be the m-th bit in the converted bit sequence. bit, the target candidate value is determined based on the joint soft information set of the m-th bit group.

Here, hard decision refers to comparing each bit of soft information with a threshold to obtain the decision bit. If the bit soft information is greater than the threshold, the corresponding decision bit is 1; if the bit soft information is less than or equal to the threshold, the corresponding decision bit is 0. The threshold is set according to the performance of the communication system, and this application does not limit this. The method of making a hard judgment first and then determining the converted bit sequence is conducive to simplifying the algorithm and is easy to implement.

It should be noted that when selecting the corresponding target candidate value according to the joint soft information set of the m-th bit group, the following requirements need to be met: each bit in the converted bit sequence is independent of each other and meets reliability requirements. Here, the reliability requirement may be that on the premise that each bit in the converted bit sequence is independent of each other, the reliability of each bit in the converted bit sequence is relatively high.

In the embodiment of the present application, each bit in the converted bit sequence is independent of each other means that any bit in the converted bit sequence has nothing to do with other bits in the converted bit sequence and cannot be derived from other bits in the converted bit sequence. In this way, duplicate content (also called invalid bits) in the converted bit sequence can be avoided. For example, assume that the soft information candidate value set corresponding to a certain bit in the converted bit sequence includes bit b1, bit b2 and bit xor(b1, b2) (that is, the exclusive OR of b1 and b2). If there is already bit b1 in the converted bit sequence , any two of bits b2 and bits xor(b1, b2), since the remaining one can be derived from the existing bits in the converted bit sequence, so that the remaining one bit does not exist in the converted bit sequence. That is, bit b1, bit b2 and bit xor(b1, b2) will not exist simultaneously in the converted bit sequence.

The following takes the example of FEC decoding using a bit-based decoding algorithm and each bit group including 2 bits to illustrate the generation process of the converted bit sequence.

First, a hard judgment is performed on each bit of soft information in the first soft information sequence to obtain a binary bit sequence; then, a conversion bit sequence is determined based on the binary bit sequence.

Among them, the conversion bit sequence is determined according to the binary bit sequence, including:

If bit i and bit i+1 in the binary bit sequence are the same, then the bit soft information of the i+1th bit in the first soft information sequence is determined as the i-th bit in the converted bit sequence; where, in the binary bit sequence Bit i and bit i+1 of are respectively the decision bits corresponding to the i-th bit soft information and the i+1-th bit soft information in the first soft information sequence.

If bit i and bit i+1 in the binary bit sequence are different, then 0 and the joint soft information in the joint soft information set are sorted in ascending order; if the absolute value of the bit soft information corresponding to bit i+1 is greater than the threshold, then The exclusive OR value of the bit soft information of the i-th bit and the i+1-th bit in the first soft information sequence is determined as the i-th bit in the converted bit sequence. The threshold value is determined based on the two middle values in the ascending order, for example, equal to the product of the difference between the two middle values and the threshold value, where the threshold value is set according to actual needs. In some examples, the threshold value may range from 0.5 to 2. For example, the threshold value is 1.

If the absolute value of the bit soft information corresponding to bit i+1 is not greater than the threshold, the i-th bit in the converted bit sequence is determined based on the last two values in the ascending order. For example, if the decision bits corresponding to the last two values are bit-wise is the i-th bit in the converted bit sequence. For another example, if the value after bit-wise XOR and then XOR of the decision bits corresponding to the last two values is not equal to 0, then the i+1th bit soft information in the first soft information sequence is determined as the conversion bit sequence The i-th bit in .

Among them, the XOR value of the bit soft information of two adjacent bits (that is, whether the bit soft information of the two adjacent bits is the same) is used to indicate whether there is an inversion in the bit stream carried by the received signal sequence. That is, from bit "0" to bit "1", or from bit "1" to bit "0". This is because if multiple bits in the bit stream are all 0 or all 1, there is usually no decision bit sequence error. However, when bits in the bit stream are flipped, there is the possibility of a decision bit sequence error. is larger, so it is necessary to determine the corresponding bits in the converted bit sequence based on the joint soft information set of the bit group.

In this example, when bit i and bit i+1 in the binary bit sequence are the same, the bit soft information of the i+1th bit in the first soft information sequence is determined to be the i-th bit in the converted bit sequence, you can It is ensured that each bit in the converted bit sequence is independent of each other, there are no invalid bits, and the reliability of each bit in the converted bit sequence is high. In other examples, when bit i and bit i+1 in the binary bit sequence are the same, the bit soft information of the i-th bit in the first soft information sequence can also be determined as the i-th bit in the converted bit sequence, when When there are invalid bits in the converted bit sequence, the invalid bits can be replaced with other bits through methods such as deduplication.

Taking the multiple bits carried in the received signal sequence as {b ₁ b ₂ b ₃ b ₄ b ₅ b ₆ b ₇ b ₈ b ₉ } as an example, the resulting converted bit sequence is shown in Table 3 below:

table 3

In Table 3, the received bit sequence refers to a sequence composed of multiple bits carried by the received signal sequence.

205: According to the relationship between the m-th bit in the converted bit sequence and the m-th bit to the m+N-1 bit in the first soft information sequence, use the joint soft information set of the m-th bit group to calculate the second soft information sequence. to obtain the second soft information sequence.

Wherein, the reliability of the first soft information sequence is higher than the reliability of the second soft information sequence.

In the embodiment of the present application, the reliability of the soft information sequence is used to indicate the possibility that the value corresponding to the soft information sequence is correct. The higher the reliability of the soft information sequence, the greater the possibility that the value corresponding to the soft information sequence is correct; conversely, the lower the reliability of the soft information sequence, the greater the possibility that the value corresponding to the soft information sequence is correct. Small. For example, the reliability of the soft information sequence can be represented by at least one of the following: the average of the absolute values of the soft information contained in the soft information sequence, etc.

In some examples, the bit soft information of the i-th bit in the second soft information sequence may be calculated using joint soft information associated with the i-th bit according to the definition of soft information. In other examples, the bit soft information of the i-th bit in the second soft information sequence can be calculated using the joint soft information associated with the i-th bit using a formula obtained by approximately deforming the definition of soft information.

The following still takes the example that FEC decoding adopts a bit-based decoding algorithm and each bit group includes 2 bits for explanation. The bit soft information of the i-th bit in the second soft information sequence will be determined in the following way:

When converting the i-th bit in the bit sequence to the bit soft information of the i-th bit in the first soft information sequence, the larger value of 0 and the first joint soft information is combined with the second joint soft information and the third joint soft information. The difference between the larger values in the information is determined as the i-th bit soft information in the second soft information sequence; or,

When converting the i-th bit in the bit sequence to the bit soft information of the i+1-th bit in the first soft information sequence, the larger value of 0 and the second joint soft information is combined with the first joint soft information and the second The difference between the larger values in the joint soft information is determined as the i-th bit soft information in the second soft information sequence; or,

When converting the i-th bit in the bit sequence, the i-th bit in the first soft information sequence and the i+1-th bit of bit soft information are XOR values, the larger value of 0 and the third joint soft information is The difference between the larger value of the first joint soft information and the second joint soft information is determined as the bit soft information of the i-th bit in the second soft information sequence.

Through steps 204 to 205, the second soft information sequence can be determined based on the joint soft information set of multiple bit groups.

206: Construct an FEC check equation based on the converted bit sequence.

Exemplarily, this step 206 includes: the first step, determining the target bit soft information in the first soft information sequence. The target bit soft information is associated with the target bit in the converted bit sequence. The target bit is at least one in the first soft information sequence. The XOR value of two bits of soft information; the second step is to construct an FEC check equation based on the position of the target bit soft information in the first soft information sequence.

In the second step, a target matrix is first constructed based on the number of target bits of soft information. The target matrix is a unit lower triangular matrix, and the number of rows and columns of the target matrix are both equal to the number of target bits of soft information. Then, the sub-matrix of the initial FEC check equation corresponding to the position of the target bit soft information is multiplied by the target matrix and then XORed to obtain a new FEC check equation. The initial FEC check equation is the FEC check equation for the first soft information sequence determined during design.

For example, the FEC check equation corresponding to the second soft information sequence can be constructed using formula (11):

H _new (:, p:q)＝xor(H _ola (:, p:q)*T) (11)

Among them, H _new is the FEC check equation corresponding to the second soft information sequence, and H _old is the initial FEC check equation. p represents the corresponding bit of the first target bit soft information in the first soft information sequence, q represents the corresponding bit of the last target bit soft information in the first soft information sequence, (:, p:q) represents the first bit of the equation. Columns p~q, T is the target matrix.

Taking the aforementioned Table 3 as an example, the process of constructing the FEC verification equation is illustrated. As can be seen from Table 3, the 3rd to 5th bits in the converted bit sequence (i.e., b3 to b5) are all XOR values of the two bits of soft information in the first soft information sequence. Therefore, b3 to b5 are the target bits. . Among them, b3 in the converted bit sequence is the XOR value of bit b2 and bit b3 in the first soft information sequence, b4 in the converted bit sequence is the XOR value of bit b3 and bit b4 in the first soft information sequence, and in the converted bit sequence b5 is the XOR value of bit b4 and bit b5 in the first soft information sequence. Therefore, the target bit soft information in the first soft information sequence is the 2nd to 5th bit soft information. That is, p=2, q=5. The FEC check equation corresponding to the second soft information sequence is constructed using formula (12):

H _new (:, 2:5)＝xor(H _ola (:, 2:5)*T) (12)

In the embodiment of the present application, since the second soft information sequence is obtained by updating the first soft information sequence corresponding to the received signal sequence, the initial FEC check equation (which is determined during the FEC coding design) is for the first soft information sequence. information sequence designed) cannot be used to decode the second soft information sequence. Therefore, it is necessary to first construct an FEC check equation based on the converted bit sequence; and then perform FEC decoding on the second soft information sequence based on the FEC check equation.

207: Perform FEC decoding on the second soft information sequence based on the FEC check equation.

This step can be performed by the FEC decoding module to output the decoding result.

Exemplarily, this step 207 includes: the first step, multiplying the second soft information sequence and the FEC check equation to determine the error pattern corresponding to the second soft information sequence; the second step, corresponding to the second soft information sequence according to error pattern, and output the decoding result corresponding to the second soft information sequence.

Through steps 206 to 207, FEC decoding of the second soft information sequence can be implemented.

In this embodiment of the present application, since the first X bits of the next bit group in the adjacent bit group are the last X bits of the previous bit group, where That is, the first bit in the previous bit group is different from the last bit in the next bit group. In this way, the associated soft information set of the bit group can describe the association between adjacent bits, thereby reflecting the ISI-related information. Therefore, FEC decoding based on the joint soft information set of multiple bit groups is beneficial to reducing ISI and improving decoding. accuracy.

And, after determining the second soft information sequence based on the joint soft information set of multiple bit groups, based on the relationship between the bit soft information of the corresponding bits in the two soft information sequences, the initial FEC check equation (i.e., the first The check equation corresponding to the soft information sequence) is updated to obtain the FEC check equation suitable for the second soft information sequence to further ensure the accuracy of the decoding result.

Figure 4 is a schematic structural diagram of a signal processing device provided by an exemplary embodiment of the present application. The device can be implemented as part or all of the device through software, hardware, or a combination of both. The device provided by the embodiment of the present application can implement the process in Figure 2 of the embodiment of the present application. As shown in Figure 3, the device 300 includes: an obtaining module 301, a sequence detection module 302 and a decoding module 303. The obtaining module 301 is used to obtain a received signal sequence based on the received signal, where the received signal sequence carries a plurality of bits. The sequence detection module 302 is configured to obtain a joint soft information set of multiple bit groups based on the received signal sequence. The decoding module 303 is configured to perform forward error correction FEC decoding according to the joint soft information set of multiple bit groups. Wherein, any bit group in the plurality of bit groups includes N bits with consecutive positions in the plurality of bits, and for any two adjacent bit groups in the plurality of bit groups, the latter bit The first X bits of the group are the last X bits of the previous bit group, where N is greater than 1 and N is an integer, 1 ≤ The soft information set is used to indicate the probability of the value of the target bit group.

In some examples, the decoding module 303 includes: a determining sub-module 3031 and a decoding sub-module 3032. The determination sub-module 3031 is configured to determine a second soft information sequence according to the joint soft information set of the multiple bit groups. The reliability of the second soft information sequence is higher than the reliability of the first soft information sequence, so The first soft information sequence is a bit soft information sequence equivalent to the joint soft information set of the plurality of bit groups. The decoding sub-module 3032 is used to perform FEC decoding on the second soft information sequence.

In some examples, the determination sub-module 3031 is configured to determine the m-th bit in the converted bit sequence from the soft information candidate value set of the m-th bit group to obtain the converted bit sequence, and the m-th bit group The soft information candidate value set is obtained based on the m-th bit to m+N-1 bit soft information in the first soft information sequence, and the m-th bit group includes multiple bits carried by the received signal sequence. The m-th bit to m+N-1 bits in the bits, where m is an integer; according to the m-th bit in the converted bit sequence and the m-th bit to m+N-1 in the first soft information sequence For the relationship between bits, the joint soft information set of the m-th bit group is used to calculate the bit soft information of the m-th bit in the second soft information sequence to obtain the second soft information sequence.

In some examples, the soft information candidate value set of the m-th bit group includes at least one of the following values: bit soft information from the m-th bit to the m+N-1th bit in the first soft information sequence; and The XOR value of the bit soft information of any Y bits from the mth bit to the m+N-1th bit in the first soft information sequence, where Y∈{2,...N}.

In some examples, the determination sub-module 3031 is configured to determine the m-th bit in the converted bit sequence from the soft information candidate value set of the m-th bit group in the following manner: when the first soft information In the sequence, when the bit soft information of the mth bit to the m+N-1th bit is the same, the bit soft information of any one of the mth bit to the m+N-1th bit in the first soft information sequence is, Determine it as the m-th bit in the converted bit sequence; or, when the bit soft information of the m-th bit to the m+N-1 bit in the first soft information sequence is different, the soft information of the m-th bit group is The target candidate value in the information candidate value set is determined to be the m-th bit in the converted bit sequence, the target candidate value is determined based on the joint soft information set of the m-th bit group, and the converted bit sequence Bits are independent of each other.

In other examples, the device further includes a decision module 304, which is configured to perform a hard decision on the bit soft information in the first soft information sequence to obtain a binary bit sequence. The determination sub-module 3031 is configured to determine the m-th bit in the conversion bit sequence from the soft information candidate value set of the m-th bit group in the following manner: when in the binary bit sequence, the m-th bit~ When the values of the m+N-1th bit are the same, the bit soft information of any bit from the mth bit to the m+N-1th bit in the first soft information sequence is determined to be the bit soft information of the m+N-1th bit in the converted bit sequence. m bits; or, when the values of the m-th bit to m+N-1 bits in the binary bit sequence are different, determine the target candidate value in the soft information candidate value set of the m-th bit group as the Converting the mth bit in the bit sequence, the target candidate value is determined based on the joint soft information set of the mth bit group, and the bits in the converted bit sequence are independent of each other.

In some examples, the decoding sub-module 3032 is configured to construct an FEC check equation according to the converted bit sequence; and perform FEC decoding on the second soft information sequence based on the FEC check equation.

In some examples, the decoding sub-module 3032 is configured to determine target bit soft information in the first soft information sequence, where the target bit soft information is associated with a target bit in the converted bit sequence, and the target bit soft information is associated with the target bit in the converted bit sequence. A bit is an XOR value of at least two bits of soft information in the first soft information sequence; the FEC check equation is constructed based on the position of the target bit soft information in the first soft information sequence.

It should be noted that when the signal processing device provided in the above embodiment performs signal processing, only the division of the above functional modules is used as an example. In practical applications, the above function allocation can be completed by different functional modules according to needs, that is, The internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the signal processing device provided by the above embodiments and the signal processing method embodiments belong to the same concept. Please refer to the method embodiments for the specific implementation process, which will not be described again here.

The division of modules in the embodiments of the present application is schematic and is only a logical function division. In actual implementation, there may also be other division methods. In addition, each functional module in each embodiment of the present application may be integrated into one In the processor, it can exist physically alone, or two or more modules can be integrated into one module. The above integrated modules can be implemented in the form of hardware or software function modules.

If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or contributes to the existing technology, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including several instructions to cause a terminal device (which can be a personal computer, a mobile phone, or a communication device, etc.) or a processor to execute all or part of the steps of the method in various embodiments of the present application. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk and other media that can store program code.

An embodiment of the present application also provides a computer device, which may be the receiving device in Figure 1 . FIG. 5 exemplarily provides a possible architecture diagram of the computer device 400.

Computer device 400 includes memory 401, processor 402, communication interface 403 and bus 404. Among them, the memory 401, the processor 402 and the communication interface 403 implement communication connections between each other through the bus 404.

Memory 401 may be ROM, static storage device, dynamic storage device or RAM. The memory 401 may store programs. When the program stored in the memory 401 is executed by the processor 402, the processor 402 and the communication interface 403 are used to execute the device access method. The memory 401 can also store a data set. For example, a part of the storage resources in the memory 401 is divided into a data storage module for storing the received signal sequence, the first soft information sequence, the joint soft information set of the bit group, and the second soft information. Sequence etc.

The processor 402 may be a general CPU, a microprocessor, an application-specific integrated circuit (ASIC), a graphics processing unit (GPU), or one or more integrated circuits.

The processor 402 may also be an integrated circuit chip with signal processing capabilities. During the implementation process, part or all of the functions of the signal processing device of the present application can be completed by instructions in the form of hardware integrated logic circuits or software in the processor 402 . The above-mentioned processor 402 can also be a general-purpose processor, a digital signal processor (digital signal processor, DSP), an ASIC, an off-the-shelf programmable gate array (field programmable gate array, FPGA) or other programmable logic devices, discrete gates or transistor logic. devices, discrete hardware components. Each method disclosed in the above embodiments of the application can be implemented or executed. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiments of the present application can be directly implemented by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software module can be located in random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, registers and other mature storage media in this field. The storage medium is located in the memory 401. The processor 402 reads the information in the memory 401 and completes some functions of the signal processing device in the embodiment of the present application in combination with its hardware.

The communication interface 403 uses a transceiver module such as but not limited to a transceiver to implement communication between the computer device 400 and other devices or communication networks. For example, the received signal can be obtained through the communication interface 403.

Bus 404 may include a path that carries information between various components of computer device 400 (eg, memory 401, processor 402, communication interface 403).

The descriptions of the processes corresponding to each of the above drawings have different emphases. For parts that are not detailed in a certain process, you can refer to the relevant descriptions of other processes.

In the embodiment of the present application, a computer-readable storage medium is also provided. The computer-readable storage medium stores computer instructions. When the computer instructions stored in the computer-readable storage medium are executed by the computer device, the computer device is caused to execute the above. Provided signal processing methods.

In an embodiment of the present application, a computer program product containing instructions is also provided. When run on a computer device, the computer program product causes the computer device to execute the signal processing method provided above.

In the embodiment of the present application, a chip is also provided for executing the signal processing method shown in Figure 2.

Unless otherwise defined, technical or scientific terms used herein shall have their ordinary meaning understood by a person of ordinary skill in the art to which this disclosure belongs. "First", "second", "third" and similar words used in the specification and claims of this patent application do not indicate any order, quantity or importance, but are only used to distinguish different components. . Likewise, "a" or "one" and similar words do not indicate a quantitative limit, but rather indicate the presence of at least one. "Include" and other similar words mean that the elements or objects appearing before "include" include the elements or objects listed after "include" and their equivalents, and do not exclude other elements or objects.

The above is only an embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application. Inside.

Claims (21)

1. A signal processing method, characterized in that the method includes: The receiving device obtains a received signal sequence based on the received signal, where the received signal sequence carries a plurality of bits; Based on the received signal sequence, a joint soft information set of multiple bit groups is obtained; Perform forward error correction FEC decoding according to the joint soft information set of the plurality of bit groups; Wherein, any bit group in the plurality of bit groups includes N bits with consecutive positions in the plurality of bits, and for any two adjacent bit groups in the plurality of bit groups, the latter bit The first X bits of the group are the last X bits of the previous bit group, where N is greater than 1 and N is an integer, 1 ≤ The soft information set is used to indicate the probability of the value of the target bit group. 2. The method according to claim 1, characterized in that said performing FEC decoding according to the joint soft information set of the plurality of bit groups includes: According to the joint soft information set of the plurality of bit groups, a second soft information sequence is determined. The reliability of the second soft information sequence is higher than the reliability of the first soft information sequence. The first soft information sequence is equal to The joint soft information set of the plurality of bit groups is equivalent to a bit soft information sequence; FEC decoding is performed on the second soft information sequence. 3. The method according to claim 2, wherein determining the second soft information sequence according to the joint soft information set of the plurality of bit groups includes: The m-th bit in the converted bit sequence is determined from the soft information candidate value set of the m-th bit group to obtain the converted bit sequence. The soft information candidate value set of the m-th bit group is based on the first soft information. The m-th bit group is obtained from the bit soft information of the m-th bit to the m+N-1 bit in the sequence, and the m-th bit group includes the m-th bit to the m+N-1 bit among the multiple bits carried by the received signal sequence. , where m is an integer; According to the relationship between the m-th bit in the converted bit sequence and the m-th bit to m+N-1 bit in the first soft information sequence, the joint soft information set of the m-th bit group is used to calculate the The bit soft information of the mth bit in the second soft information sequence is obtained to obtain the second soft information sequence. 4. The method according to claim 3, characterized in that the soft information candidate value set of the m-th bit group includes at least one of the following values: The m-th bit to m+N-1 bit soft information in the first soft information sequence; and The XOR value of the bit soft information of any Y bits from the mth bit to the m+N-1th bit in the first soft information sequence, where Y∈{2,...N}. 5. The method according to claim 3 or 4, characterized in that determining the m-th bit in the conversion bit sequence from the soft information candidate value set of the m-th bit group to obtain the conversion bit sequence includes: : When the soft information bits from the m-th bit to the m+N-1th bit in the first soft information sequence are the same, any of the m-th bit to the m+N-1th bit in the first soft information sequence is One bit of bit soft information is determined to be the m-th bit in the converted bit sequence; or, When the soft information bits from the mth bit to the m+N-1th bit in the first soft information sequence are different, the target candidate value in the soft information candidate value set of the mth bit group is determined to be the For the mth bit in the converted bit sequence, the target candidate value is determined based on the joint soft information set of the mth bit group, and the bits in the converted bit sequence are independent of each other. 6. The method according to claim 3 or 4, characterized in that the method further comprises: Perform hard judgment on the bit soft information in the first soft information sequence to obtain a binary bit sequence; Determining the m-th bit in the converted bit sequence from the soft information candidate value set of the m-th bit group to obtain the converted bit sequence includes: When the values of the m-th bit to the m+N-1th bit in the binary bit sequence are the same, any one of the m-th bit to the m+N-1th bit in the first soft information sequence is Soft information is determined to be the m-th bit in the converted bit sequence; or, When the values of the m-th bit to m+N-1 bits in the binary bit sequence are different, the target candidate value in the soft information candidate value set is determined to be the m-th bit in the converted bit sequence, and the The target candidate value is determined based on the joint soft information set of the m-th bit group, and the bits in the converted bit sequence are independent of each other. 7. The method according to any one of claims 3 to 6, characterized in that said performing FEC decoding on the second soft information sequence includes: Construct an FEC check equation according to the converted bit sequence; FEC decoding is performed on the second soft information sequence based on the FEC check equation. 8. The method according to claim 7, wherein constructing an FEC check equation according to the converted bit sequence includes: Determine the target bit soft information in the first soft information sequence, the target bit soft information is associated with the target bit in the converted bit sequence, the target bit is at least two bits in the first soft information sequence XOR value of soft information; The FEC check equation is constructed based on the position of the target bit soft information in the first soft information sequence. 9. The method according to any one of claims 1 to 8, characterized in that the target bit group includes N bits, and the joint soft information set of the target bit group includes 2 to the Nth power minus 1 joint soft information; In the 2 to the Nth power minus 1 joint soft information, each joint soft information is the ratio of the probability that the value of the target bit group is the reference value and the probability that the value of the target bit group is the first value. Logarithm, wherein the reference value is any one of the possible values of the target bit group, and the first value is any one of the possible values of the target bit group except the reference value. A value. 10. A signal processing device, characterized in that the device includes: Obtaining module, configured to obtain a received signal sequence based on the received signal, where the received signal sequence carries a plurality of bits; A sequence detection module, configured to obtain a joint soft information set of multiple bit groups based on the received signal sequence; A decoding module configured to perform forward error correction FEC decoding according to the joint soft information set of the plurality of bit groups; Wherein, any bit group in the plurality of bit groups includes N bits with consecutive positions in the plurality of bits, and for any two adjacent bit groups in the plurality of bit groups, the latter bit The first X bits of the group are the last X bits of the previous bit group, where N is greater than 1 and N is an integer, 1 ≤ The soft information set is used to indicate the probability of the value of the target bit group. 11. The device according to claim 10, wherein the decoding module includes: Determining submodule, configured to determine a second soft information sequence based on the joint soft information set of the plurality of bit groups. The reliability of the second soft information sequence is higher than the reliability of the first soft information sequence. The reliability of the second soft information sequence is higher than the reliability of the first soft information sequence. A soft information sequence is a bit soft information sequence equivalent to the joint soft information set of the plurality of bit groups; The decoding submodule is used to perform FEC decoding on the second soft information sequence. 12. The device according to claim 11, characterized in that the determining sub-module is used to: The m-th bit in the converted bit sequence is determined from the soft information candidate value set of the m-th bit group to obtain the converted bit sequence. The soft information candidate value set of the m-th bit group is based on the first soft information. The m-th bit group is obtained from the bit soft information of the m-th bit to the m+N-1 bit in the sequence, and the m-th bit group includes the m-th bit to the m+N-1 bit among the multiple bits carried by the received signal sequence. , where m is an integer; According to the relationship between the m-th bit in the converted bit sequence and the m-th bit to m+N-1 bit in the first soft information sequence, the joint soft information set of the m-th bit group is used to calculate the The bit soft information of the mth bit in the second soft information sequence is obtained to obtain the second soft information sequence. 13. The device according to claim 12, wherein the soft information candidate value set of the m-th bit group includes at least one of the following values: The m-th bit to m+N-1 bit soft information in the first soft information sequence; and The XOR value of the bit soft information of any Y bits from the mth bit to the m+N-1th bit in the first soft information sequence, where Y∈{2,...N}. 14. The device according to claim 12 or 13, characterized in that the determination sub-module is configured to determine the conversion bit sequence in the conversion bit sequence from the soft information candidate value set of the m-th bit group in the following manner. mth bit: When the soft information bits from the m-th bit to the m+N-1th bit in the first soft information sequence are the same, any of the m-th bit to the m+N-1th bit in the first soft information sequence is One bit of bit soft information is determined to be the m-th bit in the converted bit sequence; or, When the soft information bits from the mth bit to the m+N-1th bit in the first soft information sequence are different, the target candidate value in the soft information candidate value set of the mth bit group is determined to be the For the mth bit in the converted bit sequence, the target candidate value is determined based on the joint soft information set of the mth bit group, and the bits in the converted bit sequence are independent of each other. 15. The device according to claim 12 or 13, characterized in that the device further includes a decision module for performing hard decision on the bit soft information in the first soft information sequence to obtain a binary bit sequence. ; The determination sub-module is configured to determine the m-th bit in the conversion bit sequence from the soft information candidate value set of the m-th bit group in the following manner: When the values of the m-th bit to the m+N-1th bit in the binary bit sequence are the same, any one of the m-th bit to the m+N-1th bit in the first soft information sequence is Soft information is determined to be the m-th bit in the converted bit sequence; or, When the values of the m-th bit to m+N-1 bits in the binary bit sequence are different, the target candidate value in the soft information candidate value set of the m-th bit group is determined as the converted bit sequence. In the m-th bit, the target candidate value is determined based on the joint soft information set of the m-th bit group, and the bits in the converted bit sequence are independent of each other. 16. The device according to any one of claims 12 to 15, characterized in that the decoding sub-module is used to construct an FEC check equation according to the converted bit sequence; based on the FEC check equation, The second soft information sequence is subjected to FEC decoding. 17. The device according to claim 16, characterized in that the decoding sub-module is used to determine the target bit soft information in the first soft information sequence, the target bit soft information and the converted bit sequence The target bit is associated with the target bit in the first soft information sequence, and the target bit is the XOR value of at least two bits of soft information in the first soft information sequence; based on the position of the target bit soft information in the first soft information sequence, construct The FEC check equation. 18. The device according to any one of claims 10 to 17, wherein the target bit group includes N bits, and the joint soft information set of the target bit group includes 2 to the Nth power minus 1 joint soft information; In the 2 to the Nth power minus 1 joint soft information, each joint soft information is the ratio of the probability that the value of the target bit group is the reference value and the probability that the value of the target bit group is the first value. Logarithm, wherein the reference value is any one of the possible values of the target bit group, and the first value is any one of the possible values of the target bit group except the reference value. A value. 19. A receiving device, characterized in that the receiving device includes a processor and a memory; the memory is used to store a software program, and the processor executes the software program stored in the memory so that the The receiving device implements the method according to any one of claims 1 to 9. 20. A computer-readable storage medium, characterized in that the computer-readable storage medium stores computer instructions, which when the computer instructions in the computer-readable storage medium are executed by a computer device, cause the computer device to execute The method according to any one of claims 1 to 9. 21. A communication system, characterized in that the communication system includes a sending device and a receiving device, the sending device and the receiving device are connected through a transmission link, and the receiving device is configured to perform the operation as claimed in claim 1 The method described in any one of to 9.