An enhanced channel equalization method, device and storage medium

Abstract

The application discloses an enhanced channel equalization method, device and storage medium, and the method comprises the following steps: acquiring a synchronization signal in high-speed carrier power line communication, wherein the synchronization signal is a frame signal after synchronization operation; determining a plurality of OFDM symbols according to the synchronization signal; calculating the average power of useful signals of each subcarrier position in each OFDM symbol; obtaining the noise power of each subcarrier position according to the average power of useful signals of each subcarrier position and the average power; calculating the channel estimation value corresponding to each diversity according to the diversity signal corresponding to each received bit information; and generating the bit information after equalization and combination processing as the input of the decoder according to the diversity signal, the channel estimation value and the noise power of each subcarrier position, so as to reduce the influence of signal quality decline caused by pulse interference cancellation and single tone interference cancellation, and improve the receiving reliability.

Description

Technical Field

[0001] This invention relates to the field of communication technology, and in particular to an enhanced channel equalization method, apparatus, and storage medium. Background Technology

[0002] Power line communication (PLC) is a communication method that uses a power line network as the transmission medium for data transmission. Using power lines for communication requires solving a series of problems, such as the impact of strong burst pulse interference and single-tone interference on the carrier data in power line communication.

[0003] Existing technologies typically employ nulling, clipping, and hybrid methods combining both for pulse interference suppression in power line communication systems. However, these methods require a reasonable determination of an optimal threshold and average power or amplitude. If the threshold is set too high, many pulses below that threshold will not be suppressed; if the threshold is set too low, useful signals will be falsely canceled, leading to a sharp decline in system reception performance under pulse interference. This is especially true when the relative strengths of pulse interference and useful signals cannot be determined in a timely manner, making it easy to confuse pulses and signals. Nulling, clipping, and hybrid methods cannot effectively handle pulse interference in such situations, resulting in poor processing performance. Single-tone interference is another type of deterministic interference with significant spectral characteristics. While it appears as a single-tone signal on a spectrum analyzer, in OFDM systems, due to limitations in quantization and FFT points, this single-tone interference exhibits obvious narrowband interference characteristics, severely affecting subcarrier signals within a certain range centered on the single tone. Pulse interference cancellation is processed in the time domain, clipping abnormal pulses while simultaneously removing useful signals. The equivalent effect in the frequency domain is similar to a weak random interference of a certain strength in the frequency domain. Single-tone interference cancellation often uses notch filtering. Since filters cannot achieve perfect single-tone notch filtering, they can only cancel a certain area of ​​the frequency domain. Combined with the estimation error of the single tone, the final result of single-tone interference cancellation will weaken the signal of multiple subcarriers. Therefore, regardless of the type of interference, the signal quality will decrease to some extent after interference removal. Summary of the Invention

[0004] This invention provides an enhanced channel equalization method, apparatus, and storage medium to reduce the impact of signal quality degradation caused by impulse interference cancellation and single-tone interference cancellation, thereby improving reception reliability.

[0005] This invention provides an enhanced channel equalization method, comprising:

[0006] Acquire the synchronization signal in high-speed carrier power line communication, wherein the synchronization signal is a frame signal after synchronization operation; determine a number of OFDM symbols based on the synchronization signal; calculate the average power of the useful signal at each subcarrier position in each OFDM symbol; obtain the noise power at each subcarrier position based on the average power of the useful signal and the average power.

[0007] Based on the diversity signal corresponding to each received bit information, calculate the channel estimate value corresponding to each diversity; based on the diversity signal, the channel estimate value, and the noise power at each subcarrier position, generate the equalized and combined bit information as the input to the decoder.

[0008] Further, the average power of the useful signal at each subcarrier position in each OFDM symbol is calculated, specifically as follows:

[0009] Perform an FFT transform on each OFDM symbol to obtain the corresponding frequency domain signal and the complex value of each subcarrier in the frequency domain. The complex value includes the received values ​​of the preamble symbol and the payload information. Calculate the conjugate correlation value of each frequency domain signal in sequence. The conjugate correlation value is obtained by performing conjugate cross-correlation between the frequency domain signal corresponding to the current preamble symbol and the frequency domain signal corresponding to the next preamble symbol.

[0010] The useful signal power at each subcarrier position is obtained by summing the conjugate correlation values ​​of all frequency domain signals and taking the real part. The average value of the useful signal power is then calculated to obtain the average useful signal power at each subcarrier position.

[0011] Furthermore, an FFT transform is performed on each OFDM symbol to obtain the corresponding frequency domain signal and the complex value of each subcarrier in the frequency domain, specifically:

[0012] Perform FFT transformation on L OFDM symbols to obtain the corresponding L frequency domain signals;

[0013] The expression for the frequency domain signal is: p l (k), l = 0, ..., L-1, where l is the leading symbol index and L is a positive integer greater than 1; k = k b ,...,k e k is the useful subcarrier index, k e k represents the starting position of the useful subcarrier. e This represents the endpoint position of the useful subcarrier.

[0014] Further, the conjugate correlation value of each frequency domain signal is calculated sequentially. This conjugate correlation value is derived by performing a conjugate cross-correlation between the frequency domain signal corresponding to the current preamble symbol and the frequency domain signal corresponding to the next preamble symbol. Specifically:

[0015] Let l = 0, for p l (k) and p l+1 (k) The conjugate cross-correlation of the signals is used to obtain the conjugate correlation value of the first frequency domain signal; the expression for the conjugate correlation value of the first frequency domain signal is:

[0016] Let l = l + 1, and calculate the conjugate correlation value of each frequency domain signal in turn until l = L - 2;

[0017] The expression for the conjugate correlation value of a frequency domain signal is:

[0018] Furthermore, based on the useful signal average power and average power at each subcarrier position, the noise power at each subcarrier position is obtained, specifically as follows:

[0019] The expression for the average power of the useful signal at each subcarrier position is:

[0020]

[0021] The expression for the average power at each subcarrier position is:

[0022]

[0023] The noise power at each subcarrier position is obtained by subtracting the average power of the corresponding useful signal from the average power at that subcarrier position. The expression for the noise power is as follows:

[0024] NI(k)=P(k)-P s (k);

[0025] Among them, P s P(k) and NI(k) are the average power of the useful signal, average power, and noise power at the subcarrier position, respectively.

[0026] Further, based on the diversity signal, the channel estimate, and the noise power at each subcarrier position, equalized and combined bit information is generated as input to the decoder, specifically:

[0027] Each diversity signal is multiplied by its corresponding channel estimate using the conjugate multiplication method, and then divided by the noise power of the corresponding diversity to obtain each weighted diversity. All weighted diversity signals are then combined to obtain the weighted equalized output.

[0028] The expression for the weighted equalization output is:

[0029] Where I(n) represents the bit information after equalization and merging. l m and k mThese are the OFDM symbol index and subcarrier position corresponding to each diversity m, respectively; H(k) m The channel estimate for each diversity, m = 1, ..., M, where M is the number of diversity;

[0030] The N bits of information after equalization and merging are used as the input to the decoder.

[0031] As a preferred embodiment, this invention can track noise intensity in real time using several preamble or pilot subcarrier signals, resulting in high accuracy in signal quality calculation. Before combining diversity signals, this invention performs weighted processing on each diversity signal, allocating more weight to diversity signals with good signals and reducing the weight to those with weak signals, thereby improving the reliability of the soft information input to the decoder. This invention dynamically adapts to the side effects of eliminating various interference signals, thereby reducing the impact of signal quality degradation caused by pulse interference cancellation and single-tone interference cancellation, and improving reception reliability.

[0032] Accordingly, the present invention also provides an enhanced channel equalization device, comprising: a data processing module and a channel equalization module;

[0033] The data processing module is used to acquire the synchronization signal in high-speed carrier power line communication, wherein the synchronization signal is a frame signal after synchronization operation; determine a number of OFDM symbols based on the synchronization signal; calculate the average power of the useful signal at each subcarrier position in each OFDM symbol; and obtain the noise power at each subcarrier position based on the average power of the useful signal and the average power.

[0034] The channel equalization module is used to calculate the channel estimate corresponding to each diversity based on the diversity signal corresponding to each received bit information; and to generate equalized and merged bit information as input to the decoder based on the diversity signal, the channel estimate, and the noise power at each subcarrier position.

[0035] Furthermore, the data processing module includes: an FFT transformation unit and a computation unit;

[0036] The FFT transform unit is used to perform FFT transform on each OFDM symbol to obtain the corresponding frequency domain signal and the complex value of each subcarrier in the frequency domain. The complex value includes the received values ​​of the preamble symbol and the payload information, specifically:

[0037] Perform FFT transformation on L OFDM symbols to obtain the corresponding L frequency domain signals;

[0038] The expression for the frequency domain signal is: p l (k), l = 0, ..., L-1, where l is the leading symbol index and L is a positive integer greater than 1; k = k b , ..., ke k is the useful subcarrier index, k b k represents the starting position of the useful subcarrier. e This represents the endpoint position of the useful subcarrier;

[0039] The calculation unit is used to sequentially calculate the conjugate correlation value of each frequency domain signal. The conjugate correlation value is obtained by performing conjugate cross-correlation between the frequency domain signal corresponding to the current preamble symbol and the frequency domain signal corresponding to the next preamble symbol. Specifically:

[0040] Let l = 0, for p l (k) and p l+1 (k) The conjugate cross-correlation of the signals is used to obtain the conjugate correlation value of the first frequency domain signal; the expression for the conjugate correlation value of the first frequency domain signal is:

[0041] Let l = l + 1, and calculate the conjugate correlation value of each frequency domain signal in turn until l = L - 2;

[0042] The expression for the conjugate correlation value of a frequency domain signal is:

[0043] The useful signal power at each subcarrier position is obtained by summing the conjugate correlation values ​​of all frequency domain signals and taking the real part. The average value of the useful signal power is then calculated to obtain the average useful signal power at each subcarrier position.

[0044] The expression for the average power of the useful signal at each subcarrier position is:

[0045]

[0046] The expression for the average power at each subcarrier position is:

[0047]

[0048] The noise power at each subcarrier position is obtained by subtracting the average power of the corresponding useful signal from the average power at that subcarrier position. The expression for the noise power is as follows:

[0049] NI(k)=P(k)-P s (k);

[0050] Among them, P s P(k) and NI(k) are the average power of the useful signal, average power, and noise power at the subcarrier position, respectively.

[0051] Furthermore, the channel equalization module includes: a diversity processing unit and an output unit;

[0052] The diversity processing unit is used to perform conjugate multiplication of each diversity signal with the corresponding channel estimate, divide by the noise power of the corresponding diversity, and obtain each weighted diversity; and merge all weighted diversity to obtain a weighted equalized output.

[0053] The expression for the weighted equalization output is:

[0054] Where I(n) represents the bit information after equalization and merging. l m and k m These are the OFDM symbol index and subcarrier position corresponding to each diversity m, respectively; H(k) m The channel estimate for each diversity, m = 1, ..., M, where M is the number of diversity;

[0055] The output unit is used to take the N bits of information after equalization and merging as the input of the decoder.

[0056] Accordingly, the present invention also provides a computer-readable storage medium comprising a stored computer program; wherein, when the computer program is executed, it controls the device in which the computer-readable storage medium is located to perform an enhanced channel equalization method as described in the present invention. Attached Figure Description

[0057] Figure 1 This is a flowchart illustrating an embodiment of the enhanced channel equalization method provided by the present invention;

[0058] Figure 2 This is a schematic diagram of an embodiment of the enhanced channel equalization device provided by the present invention. Detailed Implementation

[0059] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0060] Example 1

[0061] Please refer to Figure 1 An enhanced channel equalization method provided in this embodiment of the invention includes steps S101-S102:

[0062] Step S101: Obtain the synchronization signal in high-speed carrier power line communication, wherein the synchronization signal is a frame signal after synchronization operation; determine a number of OFDM symbols based on the synchronization signal; calculate the average power of the useful signal at each subcarrier position in each OFDM symbol; obtain the noise power at each subcarrier position based on the average power of the useful signal and the average power at each subcarrier position.

[0063] Further, the average power of the useful signal at each subcarrier position in each OFDM symbol is calculated, specifically as follows:

[0064] Perform an FFT transform on each OFDM symbol to obtain the corresponding frequency domain signal and the complex value of each subcarrier in the frequency domain. The complex value includes the received values ​​of the preamble symbol and the payload information. Calculate the conjugate correlation value of each frequency domain signal in sequence. The conjugate correlation value is obtained by performing conjugate cross-correlation between the frequency domain signal corresponding to the current preamble symbol and the frequency domain signal corresponding to the next preamble symbol.

[0065] The useful signal power at each subcarrier position is obtained by summing the conjugate correlation values ​​of all frequency domain signals and taking the real part. The average value of the useful signal power is then calculated to obtain the average useful signal power at each subcarrier position.

[0066] Furthermore, an FFT transform is performed on each OFDM symbol to obtain the corresponding frequency domain signal and the complex value of each subcarrier in the frequency domain, specifically:

[0067] Perform FFT transformation on L OFDM symbols to obtain the corresponding L frequency domain signals;

[0068] The expression for the frequency domain signal is: p l (k), l = 0, ..., L-1, where l is the leading symbol index and L is a positive integer greater than 1; k = k b , ..., k e k is the useful subcarrier index, k b k represents the starting position of the useful subcarrier. e This represents the endpoint position of the useful subcarrier.

[0069] Further, the conjugate correlation value of each frequency domain signal is calculated sequentially. This conjugate correlation value is derived by performing a conjugate cross-correlation between the frequency domain signal corresponding to the current preamble symbol and the frequency domain signal corresponding to the next preamble symbol. Specifically:

[0070] Let l = 0, for p l (k) and p l+1 (k) The conjugate cross-correlation of the signals is used to obtain the conjugate correlation value of the first frequency domain signal; the expression for the conjugate correlation value of the first frequency domain signal is:

[0071] Let l = l + 1, and calculate the conjugate correlation value of each frequency domain signal in turn until l = L - 2;

[0072] The expression for the conjugate correlation value of a frequency domain signal is:

[0073] Furthermore, based on the useful signal average power and average power at each subcarrier position, the noise power at each subcarrier position is obtained, specifically as follows:

[0074] The expression for the average power of the useful signal at each subcarrier position is:

[0075]

[0076] The expression for the average power at each subcarrier position is:

[0077]

[0078] The noise power at each subcarrier position is obtained by subtracting the average power of the corresponding useful signal from the average power at that subcarrier position. The expression for the noise power is as follows:

[0079] NI(k)=P(k)-P s (k);

[0080] Among them, P s P(k) and NI(k) are the average power of the useful signal, average power, and noise power at the subcarrier position, respectively.

[0081] In this embodiment, the average power of each useful subcarrier includes the energy of noise. By subtracting the average power of the useful signal from the average power, the noise and interference power can be obtained.

[0082] Step S102: Calculate the channel estimate corresponding to each diversity based on the diversity signal corresponding to each received bit information; generate equalized and combined bit information as input to the decoder based on the diversity signal, the channel estimate, and the noise power at each subcarrier position.

[0083] In this embodiment, during the equalization process, the diversity received data corresponding to each bit of information, along with the corresponding symbol index and subcarrier index, are organized from the payload information.

[0084] Further, based on the diversity signal, the channel estimate, and the noise power at each subcarrier position, equalized and combined bit information is generated as input to the decoder, specifically:

[0085] Each diversity signal is multiplied by its corresponding channel estimate using the conjugate multiplication method, and then divided by the noise power of the corresponding diversity to obtain each weighted diversity. All weighted diversity signals are then combined to obtain the weighted equalized output.

[0086] The expression for the weighted equalization output is:

[0087] Where I(n) represents the bit information after equalization and merging. l m and k m These are the OFDM symbol index and subcarrier position corresponding to each diversity m, respectively; H(k) m The channel estimate for each diversity, m = 1, ..., M, where M is the number of diversity;

[0088] The N bits of information after equalization and merging are used as the input to the decoder.

[0089] Typically, the magnitude of soft information corresponds to the probability of bit information being 0 or 1. Enhanced equalization output values ​​are more reliable in terms of probability distribution than traditional merging methods.

[0090] Implementing the embodiments of the present invention has the following effects:

[0091] This invention can track noise intensity in real time using several preamble or pilot subcarrier signals, and calculates signal quality with high accuracy. Before combining diversity signals, this invention performs weighted processing on each diversity signal, allocating more weight to diversity signals with good signals and reducing the weight to weak signals, thereby improving the reliability of the soft information input to the decoder. This invention dynamically adapts to the side effects of eliminating various interference signals, which is more conducive to leveraging the characteristics of the error correction coding mechanism, reducing the impact of pulse interference cancellation and single-tone interference cancellation on signal quality degradation, and improving reception reliability.

[0092] Example 2

[0093] Please refer to Figure 2 An enhanced channel equalization device provided in this embodiment of the invention includes: a data processing module 201 and a channel equalization module 202;

[0094] The data processing module is used to acquire the synchronization signal in high-speed carrier power line communication, wherein the synchronization signal is a frame signal after synchronization operation; determine a number of OFDM symbols based on the synchronization signal; calculate the average power of the useful signal at each subcarrier position in each OFDM symbol; and obtain the noise power at each subcarrier position based on the average power of the useful signal and the average power.

[0095] The channel equalization module is used to calculate the channel estimate corresponding to each diversity based on the diversity signal corresponding to each received bit information; and to generate equalized and merged bit information as input to the decoder based on the diversity signal, the channel estimate, and the noise power at each subcarrier position.

[0096] Furthermore, the data processing module includes: an FFT transformation unit and a computation unit;

[0097] The FFT transform unit is used to perform FFT transform on each OFDM symbol to obtain the corresponding frequency domain signal and the complex value of each subcarrier in the frequency domain. The complex value includes the received values ​​of the preamble symbol and the payload information, specifically:

[0098] Perform FFT transformation on L OFDM symbols to obtain the corresponding L frequency domain signals;

[0099] The expression for the frequency domain signal is: p l (k), l = 0, ..., L-1, where l is the leading symbol index and L is a positive integer greater than 1; k = k b , ..., k e k is the useful subcarrier index, k b k represents the starting position of the useful subcarrier. e This represents the endpoint position of the useful subcarrier;

[0100] The calculation unit is used to sequentially calculate the conjugate correlation value of each frequency domain signal. The conjugate correlation value is obtained by performing conjugate cross-correlation between the frequency domain signal corresponding to the current preamble symbol and the frequency domain signal corresponding to the next preamble symbol. Specifically:

[0101] Let l = 0, for p l (k) and p l+1 (k) The conjugate cross-correlation of the signals is used to obtain the conjugate correlation value of the first frequency domain signal; the expression for the conjugate correlation value of the first frequency domain signal is:

[0102] Let l = l + 1, and calculate the conjugate correlation value of each frequency domain signal in turn until l = L - 2;

[0103] The expression for the conjugate correlation value of a frequency domain signal is:

[0104] The useful signal power at each subcarrier position is obtained by summing the conjugate correlation values ​​of all frequency domain signals and taking the real part. The average value of the useful signal power is then calculated to obtain the average useful signal power at each subcarrier position.

[0105] The expression for the average power of the useful signal at each subcarrier position is:

[0106]

[0107] The expression for the average power at each subcarrier position is:

[0108]

[0109] The noise power at each subcarrier position is obtained by subtracting the average power of the corresponding useful signal from the average power at that subcarrier position. The expression for the noise power is as follows:

[0110] NI(k)=P(k)-P s (k);

[0111] Among them, P s P(k) and NI(k) are the average power of the useful signal, average power, and noise power at the subcarrier position, respectively.

[0112] Furthermore, the channel equalization module includes: a diversity processing unit and an output unit;

[0113] The diversity processing unit is used to perform conjugate multiplication of each diversity signal with the corresponding channel estimate, divide by the noise power of the corresponding diversity, and obtain each weighted diversity; and merge all weighted diversity to obtain a weighted equalized output.

[0114] The expression for the weighted equalization output is:

[0115] Where I(n) represents the bit information after equalization and merging. l m and k m These are the OFDM symbol index and subcarrier position corresponding to each diversity m, respectively; H(k) m The channel estimate for each diversity, m = 1, ..., M, where M is the number of diversity;

[0116] The output unit is used to take the N bits of information after equalization and merging as the input of the decoder.

[0117] The enhanced channel equalization device described above can implement the enhanced channel equalization method of the above method embodiments. The options in the above method embodiments are also applicable to this embodiment, and will not be detailed here. The remaining content of this application's embodiments can be referred to the content of the above method embodiments, and will not be repeated in this embodiment.

[0118] Example 3

[0119] Accordingly, the present invention also provides a computer-readable storage medium comprising a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to perform the enhanced channel equalization method as described in any of the above embodiments.

[0120] For example, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the terminal device.

[0121] The terminal device may be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0122] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the terminal device, connecting all parts of the terminal device via various interfaces and lines.

[0123] The memory can be used to store the computer programs and / or modules. The processor implements various functions of the terminal device by running or executing the computer programs and / or modules stored in the memory and by calling data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function, etc.; the data storage area may store data created based on the use of the mobile terminal, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart media card (SMC), secure digital card (SD), flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0124] Wherein, if the modules / units integrated in the terminal device are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by a processor, it can implement the steps of the various method embodiments described above. Wherein, the computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0125] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention for those skilled in the art.

Claims

1. An enhanced channel equalization method, characterized in that, include: Acquire the synchronization signal in high-speed carrier power line communication, wherein the synchronization signal is a frame signal after synchronization operation; determine a number of OFDM symbols based on the synchronization signal; calculate the average power of the useful signal at each subcarrier position in each OFDM symbol; obtain the noise power at each subcarrier position based on the average power of the useful signal and the average power. Based on the diversity signal corresponding to each received bit of information, calculate the channel estimate for each diversity. Based on the diversity signal, the channel estimate, and the noise power at each subcarrier position, the equalized and combined bit information is generated as the input to the decoder. The calculation of the average power of the useful signal at each subcarrier position in each OFDM symbol specifically involves: Perform an FFT transform on each OFDM symbol to obtain the corresponding frequency domain signal and the complex value of each subcarrier in the frequency domain. The complex value includes the received values ​​of the preamble symbol and the payload information. Calculate the conjugate correlation value of each frequency domain signal in sequence. The conjugate correlation value is obtained by performing conjugate cross-correlation between the frequency domain signal corresponding to the current preamble symbol and the frequency domain signal corresponding to the next preamble symbol. The useful signal power at each subcarrier position is obtained by summing the conjugate correlation values ​​of all frequency domain signals and taking the real part. The average value of the useful signal power is then calculated to obtain the average useful signal power at each subcarrier position. The step of generating equalized and combined bit information based on the diversity signal, the channel estimate, and the noise power at each subcarrier position as input to the decoder is specifically as follows: Each diversity signal is multiplied by its corresponding channel estimate using the conjugate multiplication method, and then divided by the noise power of the corresponding diversity to obtain each weighted diversity. All weighted diversity signals are then combined to obtain the weighted equalized output. The expression for the weighted equalization output is: ; in, To balance the bit information after merging, , n =0, ..., N- 1, and Each episode m The corresponding OFDM symbol index and subcarrier position; Channel estimates for each diversity m =1,..., M , M This refers to the number of episodes. The N bits of information after equalization and merging are used as the input to the decoder.

2. The enhanced channel equalization method as described in claim 1, characterized in that, The step of performing an FFT transform on each OFDM symbol to obtain the corresponding frequency domain signal and the complex value of each subcarrier in the frequency domain is as follows: Perform FFT transformation on L OFDM symbols to obtain the corresponding L frequency domain signals; The expression for the frequency domain signal is: , , L is the leading symbol index, where L is a positive integer greater than 1; , For useful subcarrier index, This represents the starting position of the useful subcarrier. This represents the endpoint position of the useful subcarrier.

3. The enhanced channel equalization method as described in claim 2, characterized in that, The conjugate correlation value of each frequency domain signal is calculated sequentially. This conjugate correlation value is derived by performing a conjugate cross-correlation between the frequency domain signal corresponding to the current preamble symbol and the frequency domain signal corresponding to the next preamble symbol. Specifically: make ,right and The conjugate cross-correlation of the signals yields the conjugate correlation value of the first frequency domain signal; the expression for the conjugate correlation value of the first frequency domain signal is: , ; make Calculate the conjugate correlation value of each frequency domain signal sequentially until... ; The expression for the conjugate correlation value of a frequency domain signal is: , .

4. The enhanced channel equalization method as described in claim 3, characterized in that, The noise power at each subcarrier position is obtained based on the average power of the useful signal and the average power at each subcarrier position, specifically as follows: The expression for the average power of the useful signal at each subcarrier position is: ； The expression for the average power at each subcarrier position is: ； The noise power at each subcarrier position is obtained by subtracting the average power of the corresponding useful signal from the average power at that subcarrier position. The expression for the noise power is as follows: ； in, , and These represent the average power of the useful signal, the average power, and the noise power at the subcarrier positions, respectively.

5. An enhanced channel equalization device, characterized in that, An enhanced channel equalization method as described in any one of claims 1 to 4 is employed; The enhanced channel equalization device includes: a data processing module and a channel equalization module; The data processing module is used to acquire the synchronization signal in high-speed carrier power line communication, wherein the synchronization signal is a frame signal after synchronization operation; determine a number of OFDM symbols based on the synchronization signal; calculate the average power of the useful signal at each subcarrier position in each OFDM symbol; and obtain the noise power at each subcarrier position based on the average power of the useful signal and the average power. The channel equalization module is used to calculate the channel estimate corresponding to each diversity based on the diversity signal corresponding to each received bit information; and to generate equalized and merged bit information as input to the decoder based on the diversity signal, the channel estimate, and the noise power at each subcarrier position.

6. An enhanced channel equalization device as described in claim 5, characterized in that, The data processing module includes: an FFT transformation unit and a calculation unit; The FFT transform unit is used to perform FFT transform on each OFDM symbol to obtain the corresponding frequency domain signal and the complex value of each subcarrier in the frequency domain. The complex value includes the received values ​​of the preamble symbol and the payload information, specifically: Perform FFT transformation on L OFDM symbols to obtain the corresponding L frequency domain signals; The expression for the frequency domain signal is: , , L is the leading symbol index, where L is a positive integer greater than 1; , For useful subcarrier index, This represents the starting position of the useful subcarrier. This represents the endpoint position of the useful subcarrier; The calculation unit is used to sequentially calculate the conjugate correlation value of each frequency domain signal. The conjugate correlation value is obtained by performing conjugate cross-correlation between the frequency domain signal corresponding to the current preamble symbol and the frequency domain signal corresponding to the next preamble symbol. Specifically: make ,right and The conjugate cross-correlation of the signals yields the conjugate correlation value of the first frequency domain signal; the expression for the conjugate correlation value of the first frequency domain signal is: , ; make Calculate the conjugate correlation value of each frequency domain signal sequentially until... ; The expression for the conjugate correlation value of a frequency domain signal is: , ; The useful signal power at each subcarrier position is obtained by summing the conjugate correlation values ​​of all frequency domain signals and taking the real part. The average value of the useful signal power is then calculated to obtain the average useful signal power at each subcarrier position. The expression for the average power of the useful signal at each subcarrier position is: ； The expression for the average power at each subcarrier position is: ； The noise power at each subcarrier position is obtained by subtracting the average power of the corresponding useful signal from the average power at that subcarrier position. The expression for the noise power is as follows: ； in, , and These represent the average power of the useful signal, the average power, and the noise power at the subcarrier positions, respectively.

7. An enhanced channel equalization device as described in claim 5, characterized in that, The channel equalization module includes: a diversity processing unit and an output unit; The diversity processing unit is used to perform conjugate multiplication of each diversity signal with the corresponding channel estimate, divide by the noise power of the corresponding diversity, and obtain each weighted diversity; and merge all weighted diversity to obtain a weighted equalized output. The expression for the weighted equalization output is: ; in, To balance the bit information after merging, , n =0, ..., N- 1, and Each episode m The corresponding OFDM symbol index and subcarrier position; Channel estimates for each diversity m =1,..., M , M This refers to the number of episodes. The output unit is used to take the N bits of information after equalization and merging as the input of the decoder.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program; wherein, when the computer program is executed, it controls the device in which the computer-readable storage medium is located to perform an enhanced channel equalization method as described in any one of claims 1 to 4.

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