CN112104394A - Signal processing method, signal processing device, storage medium and electronic equipment - Google Patents
Signal processing method, signal processing device, storage medium and electronic equipment Download PDFInfo
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- CN112104394A CN112104394A CN202011295193.XA CN202011295193A CN112104394A CN 112104394 A CN112104394 A CN 112104394A CN 202011295193 A CN202011295193 A CN 202011295193A CN 112104394 A CN112104394 A CN 112104394A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B3/00—Line transmission systems
- H04B3/54—Systems for transmission via power distribution lines
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
- H04L1/0006—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the transmission format
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
- H04L1/0036—Systems modifying transmission characteristics according to link quality, e.g. power backoff arrangements specific to the receiver
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/0078—Avoidance of errors by organising the transmitted data in a format specifically designed to deal with errors, e.g. location
- H04L1/0079—Formats for control data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/20—Arrangements for detecting or preventing errors in the information received using signal quality detector
- H04L1/203—Details of error rate determination, e.g. BER, FER or WER
Abstract
The disclosure relates to a signal processing method, a signal processing device, a storage medium and an electronic device, which are used for solving the technical problem that carrier signals are unreliable due to noise influence in the related art. The method comprises the following steps: carrying out soft demodulation on a carrier signal received by the receiver to obtain likelihood information, wherein the likelihood information comprises frame control data and load data; determining a first scaling factor for scaling the frame control data; determining a second scaling factor for scaling the payload data according to a transmission mode index in the frame control data; scaling the frame control data according to the first scaling factor, and scaling the payload data according to the second scaling factor; and carrying out frame control decoding on the zoomed frame control data, and carrying out load data decoding on the zoomed load data to obtain a decoding processing result. The method and the device reduce the influence of noise on the carrier signal and improve the reliability of the carrier signal.
Description
Technical Field
The present disclosure relates to the field of power line communication technologies, and in particular, to a signal processing method and apparatus, a storage medium, and an electronic device.
Background
In the power line communication process, a large amount of noise exists, so that the received signal contains not only the transmission signal but also the noise.
In the related art, after receiving a carrier signal, a soft demodulation method is adopted to demodulate the carrier signal, then the carrier signal is further processed in a diversity and interweaving mode, and finally decoding is carried out.
Disclosure of Invention
The disclosure aims to provide a signal processing method, a signal processing device, a storage medium and electronic equipment, and solves the technical problem that a carrier signal is unreliable due to noise influence.
In order to achieve the above object, according to a first aspect of embodiments of the present disclosure, the present disclosure provides a signal processing method applied to a receiver in a power line communication system, the method including:
carrying out soft demodulation on a carrier signal received by the receiver to obtain likelihood information, wherein the likelihood information comprises frame control data and load data;
determining a first scaling factor for scaling the frame control data;
determining a second scaling factor for scaling the payload data according to a transmission mode index in the frame control data;
scaling the frame control data according to the first scaling factor, and scaling the payload data according to the second scaling factor;
and carrying out frame control decoding on the zoomed frame control data, and carrying out load data decoding on the zoomed load data to obtain a decoding processing result.
Optionally, the method further comprises:
determining a first frame error rate of the frame control data under different first scaling factors through simulation;
calibrating a first scaling factor of the frame control data based on the size of the first frame error rate;
the determining a first scaling factor for scaling the frame control data comprises:
and acquiring the first scaling factor which is calibrated in advance and used for scaling the frame control data.
Optionally, the method further includes:
determining a second frame error rate of the payload data under different second scaling factors for each transmission mode index;
calibrating a second scaling factor of the load data under each transmission mode index based on the second frame error rate;
the determining a second scaling factor for scaling the payload data according to the transmission mode index in the frame control data includes:
and determining a second scaling factor corresponding to the transmission mode index in the frame control data from the second scaling factors of the load data under each pre-calibrated transmission mode index.
Optionally, the scaling the frame control data according to the first scaling factor includes:
substituting the first scaling factor and the frame control data into a first calculation formula to obtain scaled frame control data;
wherein the first calculation includes: a. the1=B1·C1，
A1Representing said frame control data after scaling, B1Representing said frame control data, C1Representing the first scaling factor.
Optionally, the scaling the payload data according to the second scaling factor includes:
substituting the second scaling factor and the load data into a second calculation formula to obtain scaled load data;
wherein the second calculation includes: a. the2=B2·C2，
A2Representing said payload data after scaling, B2Representing said payload data, C2Representing the second scaling factor.
According to a second aspect of the embodiments of the present disclosure, there is provided a signal processing apparatus applied to a receiver in a power line communication system, the apparatus including:
a first obtaining module configured to perform soft demodulation on a carrier signal received by the receiver to obtain likelihood information, where the likelihood information includes frame control data and load data;
a second obtaining module configured to determine a first scaling factor for scaling the frame control data;
a third obtaining module configured to determine a second scaling factor for scaling the payload data according to a transmission mode index in the frame control data;
a first execution module configured to scale the frame control data according to the first scaling factor and scale the payload data according to the second scaling factor;
and the second execution module is configured to perform frame control decoding on the scaled frame control data, perform load data decoding on the scaled load data, and obtain a decoding processing result.
Optionally, the second obtaining module is configured to determine, through simulation, a first frame error rate of the frame control data at different first scaling factors;
calibrating a first scaling factor of the frame control data based on the size of the first frame error rate;
and acquiring the first scaling factor which is calibrated in advance and used for scaling the frame control data.
Optionally, the second obtaining module is configured to determine, for each transmission mode index, a second frame error rate of the payload data at a different second scaling factor;
calibrating a second scaling factor of the load data under each transmission mode index based on the second frame error rate;
and determining a second scaling factor corresponding to the transmission mode index in the frame control data from the second scaling factors of the load data under each pre-calibrated transmission mode index.
According to a third aspect of embodiments of the present disclosure, the present disclosure provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the signal processing method described above.
According to a fourth aspect of embodiments of the present disclosure, there is provided an electronic apparatus comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the signal processing method described above.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: the method comprises the steps of carrying out soft demodulation on a received carrier signal to obtain likelihood information, zooming frame control data in the likelihood information through a first zooming factor, zooming load data through a second zooming factor, carrying out frame control decoding on the zoomed frame control data, carrying out load data decoding on the zoomed load data to obtain a processed signal, reducing the influence of noise on the carrier signal, improving the reliability of the carrier signal, and reducing the operation amount of an information processing process by carrying out noise reduction on the carrier signal without the signal-to-noise ratio in the carrier signal.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
fig. 1 is a flow chart illustrating a method of signal processing according to an example embodiment.
Fig. 2 is a diagram illustrating a relationship between a frame error rate and a scaling factor in a case according to an exemplary embodiment.
Fig. 3 is a block diagram illustrating a signal processing apparatus according to an example embodiment.
FIG. 4 is a block diagram illustrating an electronic device in accordance with an example embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure.
It should be noted that in the present disclosure, the terms "S101", "S102" and the like in the description and claims and the drawings are used for distinguishing the steps, and are not necessarily to be construed as performing the method steps in a specific order or sequence.
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
Before introducing a signal processing method, an apparatus, a storage medium, and an electronic device provided in an embodiment of the present disclosure, an application scenario of the present disclosure is first introduced, and the signal processing method provided in the present disclosure may be applied to a receiver.
In the power line communication process, a large amount of noise exists, so that the carrier signal received by the receiver contains not only the transmission signal but also noise. In the related art, after a receiver receives a carrier signal, the carrier signal is demodulated by adopting a soft demodulation method, then further processed by adopting a diversity and interweaving mode, and finally decoded so as to realize the processing of the carrier signal received by the receiver.
However, under the condition of low signal-to-noise ratio, the existing soft demodulation scheme has poor performance, so that the carrier signal received by the receiver is unreliable due to the influence of noise.
In order to solve the above technical problem, the present disclosure provides a signal processing method, taking the method as an example for a receiver, and fig. 1 is a flowchart illustrating a signal processing method according to an exemplary embodiment. As shown in fig. 1, the method includes the following steps.
In step S101, the carrier signal received by the receiver is soft-demodulated to obtain likelihood information, where the likelihood information includes frame control data and load data.
In step S102, a first scaling factor for scaling the frame control data is determined.
In step S103, a second scaling factor for scaling the payload data is determined according to the transmission mode index in the frame control data.
In step S104, the frame control data is scaled according to the first scaling factor and the payload data is scaled according to the second scaling factor.
In step S105, the scaled frame control data is subjected to frame control decoding, and the scaled payload data is subjected to payload data decoding, so as to obtain a decoding processing result.
Specifically, in step S101, the frame control data in the likelihood information includes a transmission mode index TMI, which is mainly used to indicate the size of a data packet in the carrier signal, a code modulation scheme, the number of diversity times, and the like. The payload data in the likelihood information includes the data information actually to be transmitted in the carrier signal.
The soft demodulation in step S101 is one of the common technical means in the data transmission process in the power line communication, and this disclosure will not be described in detail here.
Specifically, in step S105, the frame control decoding process may include: and carrying out diversity combination, channel de-interleaving and Turbo decoder decoding on the frame control data to finish frame control decoding. The payload data decoding process may include: and carrying out diversity combination, channel de-interleaving, Turbo decoder decoding and descrambling on the load data to finish the load data decoding.
Diversity combining, channel de-interleaving, Turbo decoder decoding, and descrambling are conventional means of decoding process in power line communication technology, which are not described in detail in this disclosure.
The Turbo decoder adopts a feedback iteration structure, and each decoding module mainly comprises two cascaded component decoders except an interleaver and a deinterleaver; the soft decision information output by one component decoder is processed into external information which is input into the other component decoder to form iterative decoding, and hard decision is output after iteration for a certain number of stages.
The signal processing method provided by the disclosure performs soft demodulation on a received carrier signal to obtain likelihood information, zooms frame control data in the likelihood information through a first zoom factor, zooms load data through a second zoom factor, performs frame control decoding on the zoomed frame control data, performs load data decoding on the zoomed load data to obtain a processed signal, improves the frame error rate of the frame control data in the likelihood information and the frame error rate of the load data in the likelihood information, reduces the influence of noise on the carrier signal, improves the reliability of information obtained by a receiver, and can perform noise reduction processing on the carrier signal without a signal-to-noise ratio in the carrier signal, thereby reducing the operation amount in the information processing process.
Optionally, the method further includes:
determining a first frame error rate of the frame control data under different first scaling factors through simulation;
based on the size of the first frame error rate, a first scaling factor of the frame control data is calibrated.
In step S102, the method may include: a first scaling factor, which is calibrated in advance, for scaling the frame control data is obtained.
Specifically, when the first scaling factor of the frame control data is determined, a calibrated first scaling factor corresponding to the first frame error rate of the frame control data can be directly obtained from a schematic diagram of a correspondence between the scaling factor generated by the simulation model and the frame error rate without transmitting a model index, where the first frame error rate represents a minimum frame error rate of the frame control data.
Optionally, the method further includes:
determining a second frame error rate of the payload data under different second scaling factors for each transmission mode index;
and calibrating a second scaling factor of the load data under each transmission mode index based on the size of the second frame error rate.
In step S103, it may include: and determining a second scaling factor corresponding to the transmission mode index in the frame control data from the second scaling factors of the load data under each pre-calibrated transmission mode index.
Specifically, when determining some scaling factors of the load data, it is necessary to determine the scaling factor corresponding to the TMI according to the transmission mode index TMI, and obtain a second scaling factor corresponding to a second frame error rate of the load data from a schematic diagram of a correspondence between the scaling factor C generated by the simulation model and the frame error rate, where the second frame error rate represents a minimum frame error rate of the load data under the current TMI.
For example, assuming that the current payload data TMI is 4, the frame error rate statistics are that each frame is transmitted only once, and the search step size is 0.0625, when the scaling factor C takes different values, the frame error rates of the frame control data and the payload data are different. As shown in fig. 2, when the scaling factor C is 0.375, the frame error rate of the frame control data is minimum, and when the scaling factor C is 0.25, the frame error rate of the payload data is minimum. Thus, in the case where the current payload data TMI is 4, the statistics of the frame error rate are transmitted only once per frame, and the search step size is 0.0625, the first scaling factor is 0.375 and the second scaling factor is 0.25.
Specifically, the correspondence between different transmission mode indexes and scaling factors is shown in the following table.
Specifically, after the likelihood information is obtained, data in the likelihood information is obtained, and under the condition that the data is frame control data, a scaling factor of the frame control data is directly obtained through the upper table; and under the condition that the data is payload data, acquiring the TMI carried in the frame control data, and acquiring the scaling factor of the payload data according to the TMI through the upper table.
Optionally, in step S104, scaling the frame control data according to the first scaling factor may include:
substituting the first scaling factor and the frame control data into a first calculation formula to obtain scaled frame control data;
wherein the first calculation formula includes: a. the1=B1·C1，
A1Representing scaled frame control data, B1Indicating frame control data, C1Representing a first scaling factor.
Optionally, in step S104, scaling the payload data according to the second scaling factor may include:
substituting the second scaling factor and the load data into a second calculation formula to obtain scaled load data;
wherein the second calculation formula includes: a. the2=B2·C2，
A2Representing scaled payload data, B2Representing payload data, C2Representing a second scaling factor.
The frame error rate may be improved by about 0.5dB for different SNRs (SIGNAL-to-NOISE RATIO) for the frame control data scaled according to the first scaling factor, as shown in the following table.
| SNR | -10 | -9.75 | -9.5 | -9.25 | -9 | -8.75 | -8.5 |
| Frame error rate of frame control data (C = 1) | 0.51 | 0.27 | 0.16 | 0.15 | 0.05 | 0.02 | 0 |
| Frame error rate of frame control data (C = 0.375) | 0.72 | 0.68 | 0.55 | 0.5 | 0.26 | 0.18 | 0.06 |
The frame error rate may be improved by about 0.6dB for different SNRs for the payload data scaled according to the second scaling factor, as shown in the table below.
| SNR | -11 | -10.75 | -10.5 | -10.25 | -10 | -9.75 | -9.5 |
| Frame error rate of payload data (C = 1) | 1 | 1 | 0.95 | 0.9 | 0.5 | 0.23 | 0.09 |
| Frame error rate of payload data (C = 0.25) | 0.86 | 0.53 | 0.19 | 0.12 | 0.02 | 0 | 0 |
Fig. 3 is a block diagram illustrating a signal processing apparatus according to an example embodiment. As shown in fig. 3, the signal processing apparatus 1300 includes: a first obtaining module 1301, a second obtaining module 1302, a third obtaining module 1304, a first executing module 1305, and a second executing module 1306.
The first obtaining module 1301 is configured to perform soft demodulation on a carrier signal received by the receiver to obtain likelihood information, where the likelihood information includes frame control data and load data.
The second retrieving module 1302 is configured for determining a first scaling factor for scaling the frame control data.
The third obtaining module 1304 is configured to determine a second scaling factor for scaling the payload data according to the transmission mode index in the frame control data.
The first execution module 1305 is configured to scale the frame control data according to a first scaling factor and to scale the payload data according to a second scaling factor.
The second executing module 1306 is configured to perform frame control decoding on the scaled frame control data, and perform payload data decoding on the scaled payload data, so as to obtain a decoding processing result.
The signal processing device provided by the disclosure performs soft demodulation on a received carrier signal to obtain likelihood information, zooms frame control data in the likelihood information through a first zoom factor, zooms load data through a second zoom factor, performs frame control decoding on the zoomed frame control data, performs load data decoding on the zoomed load data to obtain a processed signal, improves the frame error rate of the frame control data in the likelihood information and the frame error rate of the load data in the likelihood information, reduces the influence of noise on the carrier signal, improves the reliability of information obtained by a receiver, and can perform noise reduction processing on the carrier signal without the signal-to-noise ratio in the carrier signal, thereby reducing the operation amount in the information processing process.
Optionally, the second obtaining module 1302 may be configured to determine, through simulation, a first frame error rate of the frame control data at different first scaling factors;
calibrating a first scaling factor of the frame control data based on the size of the first frame error rate;
a first scaling factor, which is calibrated in advance, for scaling the frame control data is obtained.
Optionally, the second obtaining module 1302 may be configured to determine, for each transmission mode index, a second frame error rate of the payload data at a different second scaling factor;
calibrating a second scaling factor of the load data under each transmission mode index based on the size of the second frame error rate;
and determining a second scaling factor corresponding to the transmission mode index in the frame control data from the second scaling factors of the load data under each pre-calibrated transmission mode index.
Optionally, the second executing module 1306 may be configured to substitute the first scaling factor and the frame control data into the first calculation formula, resulting in scaled frame control data;
wherein the first calculation formula includes: a. the1=B1·C1，
A1Representing scaled frame control data, B1Indicating frame control data, C1Representing a first scaling factor.
Optionally, the second executing module 1306 may be configured to bring the second scaling factor and the payload data into the second calculation formula, resulting in scaled payload data;
wherein the second calculation formula includes: a. the2=B2·C2，
A2Representing scaled payload data, B2Representing payload data, C2Representing a second scaling factor.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
The present disclosure also provides a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the steps of the signal processing method provided by the present disclosure.
Specifically, the computer-readable storage medium may be a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, etc.
With regard to the computer-readable storage medium in the above-described embodiments, the signal processing method steps when the computer program stored thereon is executed will be described in detail in relation to the embodiments of the method, and will not be elaborated upon here.
The present disclosure also provides an electronic device, including:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the signal processing method described above.
The electronic equipment provided by the disclosure performs soft demodulation on a received carrier signal to obtain likelihood information, zooms frame control data in the likelihood information through a first zoom factor, zooms load data through a second zoom factor, performs frame control decoding on the zoomed frame control data, performs load data decoding on the zoomed load data to obtain a processed signal, improves the frame error rate of the frame control data in the likelihood information and the frame error rate of the load data in the likelihood information, reduces the influence of noise on the carrier signal, improves the reliability of information obtained by a receiver, and can perform noise reduction processing on the carrier signal without the signal-to-noise ratio in the carrier signal, thereby reducing the operation amount in the information processing process.
Fig. 4 is a block diagram illustrating an electronic device 700 according to an example embodiment. As shown in fig. 4, the electronic device 700 may include: a processor 701 and a memory 702. The electronic device 700 may also include one or more of a multimedia component 703, an input/output (I/O) interface 704, and a communication component 705.
The processor 701 is configured to control the overall operation of the electronic device 700, so as to complete all or part of the steps in the signal processing method. The memory 702 is used to store various types of data to support operation at the electronic device 700, such as instructions for any application or method operating on the electronic device 700, as well as application-related data, such as a first scaling factor, a second scaling factor, a first calculation, a second calculation, and so forth.
The Memory 702 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk.
The multimedia components 703 may include audio components. Wherein the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 702 or transmitted through the communication component 705. The audio assembly also includes at least one speaker for outputting audio signals.
The I/O interface 704 provides an interface between the processor 701 and other interface modules, which may be mixers or the like. The communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. The corresponding communication component 705 may thus include: power lines, and the like.
In an exemplary embodiment, the electronic Device 700 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the Signal Processing methods described above.
In another exemplary embodiment, a computer program product is also provided, which comprises a computer program executable by a programmable apparatus, the computer program having code portions for performing the above-mentioned signal processing method when executed by the programmable apparatus.
In another exemplary embodiment, there is also provided a receiver which can implement the above signal processing method.
The receiver provided by the disclosure performs soft demodulation on a received carrier signal to obtain likelihood information, zooms frame control data in the likelihood information through a first zoom factor, zooms load data through a second zoom factor, performs frame control decoding on the zoomed frame control data, performs load data decoding on the zoomed load data to obtain a processed signal, improves the frame error rate of the frame control data in the likelihood information and the frame error rate of the load data in the likelihood information, reduces the influence of noise on the carrier signal, improves the reliability of information obtained by the receiver, can perform noise reduction processing on the carrier signal without signal-to-noise ratio information in the cargo carrier signal, and reduces the operation amount in the information processing process.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, various possible combinations will not be separately described in this disclosure.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.
Claims (10)
1. A signal processing method, applied to a receiver in a power line communication system, the method comprising:
carrying out soft demodulation on a carrier signal received by the receiver to obtain likelihood information, wherein the likelihood information comprises frame control data and load data;
determining a first scaling factor for scaling the frame control data;
determining a second scaling factor for scaling the payload data according to a transmission mode index in the frame control data;
scaling the frame control data according to the first scaling factor, and scaling the payload data according to the second scaling factor;
and carrying out frame control decoding on the zoomed frame control data, and carrying out load data decoding on the zoomed load data to obtain a decoding processing result.
2. The method of claim 1, further comprising:
determining a first frame error rate of the frame control data under different first scaling factors through simulation;
calibrating a first scaling factor of the frame control data based on the size of the first frame error rate;
the determining a first scaling factor for scaling the frame control data comprises:
and acquiring the first scaling factor which is calibrated in advance and used for scaling the frame control data.
3. The method of claim 1, further comprising:
determining a second frame error rate of the payload data under different second scaling factors for each transmission mode index;
calibrating a second scaling factor of the load data under each transmission mode index based on the second frame error rate;
the determining a second scaling factor for scaling the payload data according to the transmission mode index in the frame control data includes:
and determining a second scaling factor corresponding to the transmission mode index in the frame control data from the second scaling factors of the load data under each pre-calibrated transmission mode index.
4. A method according to any of claims 1-3, wherein said scaling said frame control data according to said first scaling factor comprises:
substituting the first scaling factor and the frame control data into a first calculation formula to obtain scaled frame control data;
wherein the first calculation includes: a. the1=B1·C1，
A1Representing said frame control data after scaling, B1Representing said frame control data, C1Representing the first scaling factor.
5. A method according to any of claims 1-3, wherein said scaling said payload data according to said second scaling factor comprises:
substituting the second scaling factor and the load data into a second calculation formula to obtain scaled load data;
wherein the second calculation includes: a. the2=B2·C2，
A2Representing said payload data after scaling, B2Representing said payload data, C2Representing the second scaling factor.
6. A signal processing apparatus, wherein the apparatus is applied to a receiver in a power line communication system, the apparatus comprising:
a first obtaining module configured to perform soft demodulation on a carrier signal received by the receiver to obtain likelihood information, where the likelihood information includes frame control data and load data;
a second obtaining module configured to determine a first scaling factor for scaling the frame control data;
a third obtaining module configured to determine a second scaling factor for scaling the payload data according to a transmission mode index in the frame control data;
a first execution module configured to scale the frame control data according to the first scaling factor and scale the payload data according to the second scaling factor;
and the second execution module is configured to perform frame control decoding on the scaled frame control data, perform load data decoding on the scaled load data, and obtain a decoding processing result.
7. The apparatus of claim 6, wherein the second obtaining module is configured to determine, through simulation, a first frame error rate of frame control data at different first scaling factors;
calibrating a first scaling factor of the frame control data based on the size of the first frame error rate;
and acquiring the first scaling factor which is calibrated in advance and used for scaling the frame control data.
8. The apparatus of claim 6, wherein the second obtaining module is configured to determine, for each transmission mode index, a second frame error rate for loading data at a different second scaling factor;
calibrating a second scaling factor of the load data under each transmission mode index based on the second frame error rate;
and determining a second scaling factor corresponding to the transmission mode index in the frame control data from the second scaling factors of the load data under each pre-calibrated transmission mode index.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the signal processing method of any one of claims 1 to 5.
10. An electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the signal processing method of any of claims 1-5.
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