CN117375661B - Signal processing method, system, electronic device and storage medium - Google Patents

Signal processing method, system, electronic device and storage medium Download PDF

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Publication number
CN117375661B
CN117375661B CN202311661170.XA CN202311661170A CN117375661B CN 117375661 B CN117375661 B CN 117375661B CN 202311661170 A CN202311661170 A CN 202311661170A CN 117375661 B CN117375661 B CN 117375661B
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data
sub
signal
result
modulation
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CN117375661A (en
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占兆武
刘鑫
庞振江
洪海敏
李龙
杨祁
危桑
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China Gridcom Co Ltd
Shenzhen Zhixin Microelectronics Technology Co Ltd
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China Gridcom Co Ltd
Shenzhen Zhixin Microelectronics Technology Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/69—Spread spectrum techniques
    • 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
    • H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
    • H04L1/0056—Systems characterized by the type of code used
    • H04L1/0071—Use of interleaving
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/69—Spread spectrum techniques
    • H04B2001/6912—Spread spectrum techniques using chirp
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Digital Transmission Methods That Use Modulated Carrier Waves (AREA)

Abstract

The invention relates to the field of signal processing, in particular to a signal processing method, a system, electronic equipment and a storage medium, wherein the signal processing method comprises the following steps: dividing target data carried by each subcarrier signal in the subcarrier signals to obtain r pieces of subcarrier data, wherein r is an integer greater than 1; for each sub data, acquiring bias data of the sub data; determining a modulation signal for the sub-data based on the bias data and the sub-carrier signal; demodulating the modulated signal to obtain demodulation information of the sub data. The signal processing method can greatly improve the signal transmission rate.

Description

Signal processing method, system, electronic device and storage medium
Technical Field
The present invention relates to the field of signal processing, and in particular, to a signal processing method, system, electronic device, and computer readable storage medium.
Background
Long-range Radio (LoRa) technology is one of the main technologies of low-power-consumption wide-area wireless networks (Lower Power Wide Area Retwork, LPWAR), and has various advantages of long distance, interference resistance, low power consumption, large capacity, flexible deployment, light weight, low cost, frequency offset resistance and the like, and has wide application in the market. Meanwhile, loRa is also a modulation mode, and uses a mode based on Chirp Chirp signal spread spectrum, also called Chirp spread spectrum (Chirp Spread Spectrum, CSS) to carry out communication, and for the common linear Chirp, namely the frequency of each Chirp is linearly changed along with time. The Chirp whose frequency increases linearly with time is called Up-Chirp, and in turn, the Chirp whose frequency decreases linearly with time is called Down-Chirp.
The transmission rate of the LoRa signal is influenced and constrained by the spreading factor, and the transmission rate is limited, but the LoRa signal has extremely strong anti-interference capability, and can be normally demodulated under the condition of lower signal-to-noise ratio. Therefore, the current LoRa system can easily reach the upper rate transmission limit, and the transmission rate can not be further improved under the condition of better signal-to-noise condition.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems in the related art to some extent. Therefore, an object of the present invention is to provide a signal processing method, which has the advantage of improving the signal transmission rate.
According to a first aspect of an embodiment of the present invention, there is provided a signal processing method, including:
dividing target data carried by each subcarrier signal in the carrier signals to obtainrThe sub-data is used to determine the sub-data,ris an integer greater than 1;
for each sub data, acquiring bias data of the sub data;
determining a modulation signal for the sub-data based on the bias data and the sub-carrier signal;
demodulating the modulated signal to obtain demodulation information of the sub data.
In an exemplary embodiment of the present invention, the dividing the target data carried by the subcarrier signal results inrThe sub data includes:
performing whitening treatment on the target data to obtain a whitening treatment result;
obtaining the modulation stream number of the subcarrier signalr；
Dividing the whitening processing result intorSub-data of equal length.
In an exemplary embodiment of the present invention, the target data is binary data, and the obtaining the offset data of the sub data includes:
for each modulation stream in the subcarrier signal, acquiring the bit number of the sub-data carried by the modulation stream;
acquiring the sub data from the target data according to the bit number;
performing decimal conversion on the sub data to obtain a decimal conversion result;
calculating a first sum value of offset corresponding to the sub data of the decimal conversion result;
the first sum is taken as the bias data.
In an exemplary embodiment of the present invention, the performing decimal conversion on the sub data to obtain a decimal conversion result includes:
interleaving the sub data to obtain an interleaving result;
and performing decimal conversion on the interweaving result to obtain a decimal conversion result.
In an exemplary embodiment of the invention, the carrier signals are LoRa signals, and the sub-carrier signals in the carrier signals are mutually orthogonal.
In an exemplary embodiment of the present invention, the demodulating the modulated signal to obtain demodulation information of the sub data includes:
acquiring first sum values of modulation signals of all sub-data, and normalizing the first sum values to obtain a normalization result;
performing correlation operation on the normalization result and a preset signal to obtain correlation operation;
performing Fourier transform on the correlation operation to obtain a Fourier transform result;
and determining demodulation information of the sub-data based on the Fourier transform result.
In an exemplary embodiment of the present invention, the determining demodulation information of the sub data based on the fourier transform result includes:
acquiring power corresponding to each frequency point in the Fourier transform result, and determining the maximum power from the power;
calculating a difference value of the maximum power and the offset corresponding to the sub data;
and taking the difference value as demodulation information of the sub data.
In an exemplary embodiment of the present invention, the obtaining the power corresponding to each frequency point in the fourier transform result includes:
for each frequency point in the Fourier transform result, calculating the product of the signal value of the frequency point and the conjugate of the signal value;
and acquiring a real part of the product, and taking the real part as the power corresponding to the frequency point.
In an exemplary embodiment of the present invention, the obtaining the maximum power from the power includes:
determining a search range according to the spread spectrum factor;
and acquiring the maximum power from the power in the searching range.
According to a second aspect of the present invention, there is provided a signal processing system comprising:
the target data dividing module is used for dividing target data carried by each subcarrier signal in the subcarrier signals to obtainrThe sub-data is used to determine the sub-data,ris an integer greater than 1;
the bias data acquisition module is used for acquiring bias data of each piece of sub data;
a modulation signal acquisition module for determining a modulation signal of the sub-data based on the bias data and the sub-carrier signal;
and the demodulation information acquisition module is used for demodulating the modulation signal to obtain the demodulation information of the sub data.
According to a third aspect of the present invention, there is provided an electronic device comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the signal processing method according to any of the first aspects.
According to a fourth aspect of the present invention, there is provided a computer readable storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform the signal processing method according to any of the first aspects.
In summary, in the signal processing method provided by the present invention, for each subcarrier signal in the carrier signals, the target data carried by the subcarrier signal is divided to obtain r pieces of sub data, where r is an integer greater than 1; for each sub data, acquiring bias data of the sub data; determining a modulation signal for the sub-data based on the bias data and the sub-carrier signal; and demodulating the modulated signals to obtain demodulation information of the sub-data, so that the data carried by each sub-carrier signal in the carrier signals can be transmitted, and the transmission rate of the signals is greatly improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
Fig. 1 is a flow chart of a signal processing method provided in accordance with an exemplary embodiment;
FIG. 2 is a flowchart of a method of bias data acquisition provided in accordance with an exemplary embodiment;
fig. 3 is a flow chart of a signal demodulation method provided in accordance with an exemplary embodiment;
FIG. 4 is a block diagram of a signal processing system provided in accordance with an exemplary embodiment;
FIG. 5 is a schematic illustration of a storage medium provided in accordance with an exemplary embodiment;
fig. 6 is a block diagram of an electronic device provided in accordance with an exemplary embodiment.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present invention and should not be construed as limiting the invention.
A signal processing method according to an embodiment of the present invention is described below with reference to the drawings. Referring to fig. 1, the signal processing method may include the steps of:
s1, dividing target data carried by each subcarrier signal in the subcarrier signals to obtainrThe sub-data is used to determine the sub-data,ris an integer greater than 1;
s2, aiming at each piece of sub data, acquiring bias data of the piece of sub data;
s3, determining a modulation signal of the sub-data based on the bias data and the sub-carrier signal;
and S4, demodulating the modulation signal to obtain demodulation information of the sub data.
In summary, the signal processing method provided by the present invention divides the target data carried by each subcarrier signal of the carrier signals to obtainrThe sub-data is used to determine the sub-data,ris an integer greater than 1; for each sub data, acquiring bias data of the sub data; determining a modulation signal for the sub-data based on the bias data and the sub-carrier signal; and demodulating the modulated signals to obtain demodulation information of the sub-data, so that the data carried by each sub-carrier signal in the carrier signals can be transmitted, and the transmission rate of the signals is greatly improved.
Hereinafter, each step in the signal processing method in the present exemplary embodiment will be described in more detail with reference to the accompanying drawings and examples.
In step S1, for each subcarrier signal in the carrier signals, the target data carried by the subcarrier signal is divided to obtainrThe sub-data is used to determine the sub-data,ris an integer greater than 1.
In an exemplary embodiment of the present invention, the above-mentioned dividing the target data carried by the subcarrier signal results inrThe sub data includes:
s11, performing whitening treatment on the target data to obtain a whitening treatment result;
in one exemplary embodiment of the present invention, the target data may be binary data. The target data is whitened so as to avoid excessively long 0 and 1 sequences. As can be seen from shannon channel capacity formula, in order to meet the requirement of the specified channel capacity, bandwidth can be used for exchanging signal-to-noise ratio, i.e. bandwidth is used for exchanging lower bit error rate under the condition of low signal-to-noise ratio. However, the above-described excessively long all 0-sequence or all 1-sequence narrowband signal obviously does not satisfy the requirement, and thus whitening processing is required. Whitening is called because the spectrum of white Noise is uniformly distributed over the frequency band, but random white Noise is inconvenient to whiten data, and thus Pseudo-Noise Code sequences are often used for whitening.
S12, obtaining the modulation stream number of the subcarrier signalr；
In an exemplary embodiment of the invention, the carrier signal is a LoRa signal and the subcarrier signal is a LoRa sub-signal of the LoRa signal, the LoRa sub-signals being mutually orthogonal. The LoRa sub-signal is a signal corresponding to each frequency point in the LoRa signal. The LoRa sub-signal modulates the flow numberSF is the spreading factor.
S13, dividing the whitening processing result intorSub-data of equal length.
In an exemplary embodiment of the present invention, the whitening process is divided intoThe sub-data such that the length of each sub-data is the same. In an exemplary embodiment of the present invention, if the whitening result cannot be obtainedrAnd equally dividing, and filling zero at the rear end of the whitening treatment result.
In step S2, for each sub-data, offset data of the sub-data is acquired.
Based on the foregoing, in an exemplary embodiment of the present invention, as shown in fig. 2, the acquiring the offset data of the sub data includes:
s21, for each modulation stream in the subcarrier signal, acquiring the bit number of the sub-data carried by the modulation stream.
In an exemplary embodiment of the present invention, the number of bits of sub-data carried by each modulated stream in the LoRa sub-signal may be calculated using the following formula:
；（1）
wherein,representing the number of bits.
S22, acquiring the sub data from the target data according to the bit number.
In an exemplary embodiment of the invention, for the first of the LoRa sub-signalsA modulation stream carrying sub-data of +.>。bRepresenting the target data,/->Is 1 to 1rAny integer of (a) is provided.
S23, decimal conversion is carried out on the sub data, and a decimal conversion result is obtained;
in an exemplary embodiment of the present invention, after the sub data is acquired, the sub data is interleaved to obtain an interleaving result; and performing decimal conversion on the interweaving result to obtain a decimal conversion result. In digital communication, interleaving refers to dividing a continuous digital signal into a plurality of sub-signals and recombining the sub-signals in a different order, thereby reducing the impact of burst errors in the channel on the signal. By interleaving the sub data, sub data transmission failure can be prevented.
S24, calculating a first sum value of offset corresponding to the sub-data of the decimal conversion result;
s25, taking the first sum value as the offset data.
In an exemplary embodiment of the present invention, the offset data may be determined using the following formula:
（2）；
wherein,representing the bias data, ++>Operation for converting binary bits into decimal numbers,/->Index of the LoRa sub-signal in the LoRa signal,/for the index of the LoRa sub-signal in the LoRa signal>Indicating the offset corresponding to the sub-data.
In step S3, a modulation signal for the sub-data is determined based on the bias data and the sub-carrier signal.
In an exemplary embodiment of the present invention, the mathematical expression for the Chirp signal may be as follows:
（3）；
wherein,representing the Chirp signal, ">Representing the duration of the Chirp signal, +.>Representing the center frequency of the carrier wave in the Chirp signal; />Representing the rate of change of frequency; when the Chirp signal is the Up-Chirp signal +.>The instantaneous frequency of which increases continuously; when the Chirp signal is a Down-Chirp signal +.>Its instantaneous frequency is continuously decreasing.
Further, the instantaneous frequency of the Chirp signal can be expressed by the following formula:
（4）
wherein,representing the center frequency of the carrier wave; />Representing the bandwidth of the Chirp signal; />A number indicating the start frequency; />。
Further, the time domain signal of the LoRa signal generated by equation (4) may be expressed as follows:
（5）；
wherein,、/>the two sections of functions are continuous in phase and are initial phases and 0.
In an exemplary embodiment of the invention, for a LoRa signal, the digital signal sampling rateSignal period->Where SF is the spreading Factor (Spread Factor). The expression of the digital baseband signal of the LoRa signal is as follows:
（6）；
further, after determining the digital baseband signal of the LoRa signal according to the formula (6), the expression of each LoRa sub-signal in the LoRa signal (i.e. the signal corresponding to each frequency point in the LoRa signal) can be determined, namelykEach value of (2) corresponds to a LoRa sub-signal.kThe values of the sub-signals representing the LoRa are different.
As can be seen from equation (6), each LoRa sub-signal can carry a number of bits ofSFAnd corresponds to the signal periodThe LoRa maximum transmission Rate (Data Rate, DR) is:
（7）
wherein the method comprises the steps ofCode Rate (Code Rate). As can be seen from equation (6), at the bandwidthBWSum code rateCRIn certain cases, the method comprises the following steps,SFthe smaller the corresponding rate is the higher.
When (when)When for the followingSFThe same and modulation information are +.>、/>And->Is a two LoRa sub-signal of (A)And->Examining the orthogonality:
（8）
as can be seen from the formula (8),SFthe same and modulation information are respectively、/>And->Is orthogonal to each other. Therefore, the LoRa sub-signals with different modulation information can be adopted to carry different data for transmission in the same time-frequency resource, and further the method can be realizedDifferent data are transmitted without mutual influence, so that the signal transmission rate is improved.
In an exemplary embodiment of the present invention, the modulation signal of the sub-data may be determined using the following formula:
（9）；
wherein,representing the modulated signal. As can be seen from comparing equation (6) with equation (9), inuWhen=1, the bias data is +.>The modulation signal can be obtained as modulation information of the LoRa sub-signal.
In step S4, the modulated signal is demodulated to obtain demodulation information of the sub data.
Based on the foregoing, in an exemplary embodiment of the present invention, as shown in fig. 4, demodulating the modulated signal to obtain the demodulation information of the sub data includes:
s41, obtaining first sum values of modulation signals of all sub-data, and normalizing the first sum values to obtain a normalization result.
In an exemplary embodiment of the present invention, the normalization result may be determined using the following formula:
（10）；
wherein,representing the normalized result,/->Representing the first sum value,/->Representing the normalization operation.
S42, performing correlation operation on the normalization result and a preset signal to obtain correlation operation;
s43, carrying out Fourier transform on the correlation operation to obtain a Fourier transform result.
In an exemplary embodiment of the present invention, the fourier transform result may be determined using the following formula:
（11）；
wherein,the result of the fourier transform is represented,FFTrepresenting fourier transform operations, ">Representing the preset signal,/->Representing the conjugate of the preset signal,/->Representing the correlation result. The preset signal may be a single stream LoRa signal, which has the following expression:
（12）；
s44, determining demodulation information of the sub-data based on the Fourier transform result.
In an exemplary embodiment of the present invention, determining the demodulation information of the sub data based on the fourier transform result includes:
s441, obtaining power corresponding to each frequency point in the Fourier transform result, and determining the maximum power from the power;
in an exemplary embodiment of the present invention, the obtaining the power corresponding to each frequency point in the fourier transform result includes:
for each frequency point in the Fourier transform result, calculating the product of the signal value of the frequency point and the conjugate of the signal value; and acquiring a real part of the product, and taking the real part as the power corresponding to the frequency point. The power of each frequency domain in the calculated Fourier transform result is recorded as。
Based on the foregoing, in an exemplary embodiment of the present invention, the acquiring the maximum power from the power includes:
determining a search range according to the spread spectrum factor; and acquiring the maximum power from the power in the searching range.
In an exemplary embodiment of the present invention, the query range is determined to be an interval based on the spreading factor SFThen obtain +.>In section->Maximum power in->。
S442, calculating a difference value of the maximum power and the offset corresponding to the sub data;
s443, taking the difference value as demodulation information of the sub data.
In an exemplary embodiment of the present invention, the demodulation information may be determined using the following formula:
（13）；
wherein,representing the demodulation information.
In the present invention, the number of bits of the sub-data carried by each modulated stream in each LoRa sub-signalThe LoRa sub-signal comprisesrA modulation stream, the number of bits that the LoRa sub-signal can carry isr*（). Therefore, by adopting the method provided by the invention, the maximum transmission rate of LoRa is。
Therefore, the invention can improve the maximum transmission rate of the whole system on the premise of not changing the frame structure and the spread spectrum factor on the basis of the existing LoRa communication system. The existing LoRa maximum transmission rate is defined byLifting to->ToSF=7，rFor example, =2, the upper rate limit is raised by 71.4%.
In summary, according to the signal processing method provided by the invention, different data can be carried by each loRa sub-signal for transmission in the same time-frequency resource according to orthogonality among the loRa sub-signals, so that different data can be transmitted without mutual influence, and the signal transmission rate is improved.
Having introduced the signal processing method of the exemplary embodiment of the present invention, next, the signal processing system of the exemplary embodiment of the present invention will be described with reference to fig. 4.
Referring to fig. 4, a signal processing system 40 of an exemplary embodiment of the present invention may include: a target data dividing module 401, a bias data acquiring module 402, a modulation signal acquiring module 403, and a demodulation information acquiring module 404; wherein,
a target data dividing module 401, configured to divide, for each subcarrier signal in the carrier signals, target data carried by the subcarrier signal to obtainrThe sub-data is used to determine the sub-data,ris an integer greater than 1;
a bias data obtaining module 402, configured to obtain, for each sub-data, bias data of the sub-data;
a modulated signal acquisition module 403, configured to determine a modulated signal of the sub-data based on the offset data and the sub-carrier signal;
and the demodulation information obtaining module 404 is configured to demodulate the modulated signal to obtain demodulation information of the sub data.
In an exemplary embodiment of the present invention, the target data dividing module includes:
a whitening processing result obtaining unit, configured to perform whitening processing on the target data to obtain a whitening processing result;
a modulation stream number acquisition unit for acquiring the modulation stream number of the subcarrier signalr；
A sub-data generation unit for dividing the whitening processing result intorSub-data of equal length.
In an exemplary embodiment of the present invention, the target data is binary data, and the offset data acquisition module includes:
a bit number obtaining unit, configured to obtain, for each modulation stream in the subcarrier signal, a bit number of the sub data carried by the modulation stream;
a sub-data obtaining unit, configured to obtain the sub-data from the target data according to the bit number;
the decimal conversion result generation unit is used for performing decimal conversion on the sub data to obtain a decimal conversion result;
a first sum value obtaining unit, configured to calculate a first sum value of offset amounts of the decimal conversion result and the sub data;
and the bias data generating unit is used for taking the first sum value as the bias data.
In an exemplary embodiment of the present invention, the decimal conversion result generating unit includes:
an interleaving result generating unit, configured to interleave the sub-data to obtain an interleaving result;
and the decimal conversion result generation subunit is used for performing decimal conversion on the interleaving result to obtain a decimal conversion result.
In an exemplary embodiment of the invention, the carrier signals are LoRa signals, and the sub-carrier signals in the carrier signals are mutually orthogonal.
In an exemplary embodiment of the present invention, the demodulation information acquisition module includes:
the normalization result acquisition unit is used for acquiring first sum values of modulation signals of all sub-data and normalizing the first sum values to obtain normalization results;
the correlation operation unit is used for carrying out correlation operation on the normalization result and a preset signal to obtain correlation operation;
the Fourier transform unit is used for carrying out Fourier transform on the correlation operation to obtain a Fourier transform result;
and the demodulation information acquisition unit is used for determining the demodulation information of the sub data based on the Fourier transform result.
In an exemplary embodiment of the present invention, the demodulation information acquisition unit includes:
the maximum power determining unit obtains power corresponding to each frequency point in the Fourier transform result, and determines the maximum power from the power;
the difference value calculating unit is used for calculating the difference value of the offset corresponding to the maximum power and the sub data;
and the demodulation information acquisition subunit is used for taking the difference value as demodulation information of the sub-data.
In an exemplary embodiment of the present invention, the maximum power determining unit includes:
a product calculation unit, configured to calculate, for each frequency point in the fourier transform result, a product of a signal value of the frequency point and a conjugate of the signal value;
and the power determining unit is used for acquiring the real part of the product and taking the real part as the power corresponding to the frequency point.
In an exemplary embodiment of the present invention, the maximum power determining unit includes:
a search range determining unit for determining a search range according to the spread spectrum factor;
and the maximum power determination subunit is used for acquiring the maximum power from the powers in the searching range.
Having described the signal processing method, the signal processing system of the exemplary embodiment of the present invention, next, a storage medium of the exemplary embodiment of the present invention will be described with reference to fig. 5. Referring to fig. 5, a program product 500 for implementing the above-described method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing. Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the tester computing terminal device, partly on the remote computing terminal device, or entirely on the remote computing terminal device or server. In the case of remote computing terminal devices, the remote computing terminal device may be connected to the tester computing terminal device through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing terminal device (e.g., connected through the internet using an internet service provider).
Having described the storage medium of the exemplary embodiment of the present invention, next, an electronic device of the exemplary embodiment of the present invention will be described with reference to fig. 6.
The electronic device 60 shown in fig. 6 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 6, the electronic device 60 is in the form of a general purpose computing terminal device. Components of electronic device 60 may include, but are not limited to: at least one processing unit 610, at least one memory unit 620, a bus 630 connecting the different system components (including the memory unit 620 and the processing unit 610), a display unit 640. Wherein the storage unit stores program code that is executable by the processing unit 610 such that the processing unit 610 performs steps according to various exemplary embodiments of the present invention described in the above-described "exemplary methods" section of the present specification. For example, the processing unit 610 may perform steps S1 to S4 as shown in fig. 1.
The memory unit 620 may include volatile memory units such as Random Access Memory (RAM) 6201 and/or cache memory unit 6202, and may further include Read Only Memory (ROM) 6203. The storage unit 620 may also include a program/utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 630 may include a data bus, an address bus, and a control bus.
The electronic device 60 may also communicate with one or more external devices 70 (e.g., keyboard, pointing device, bluetooth terminal device, etc.), which may be through an input/output (I/O) interface 650. The electronic device 60 also includes a display unit 640 that is connected to an input/output (I/O) interface 650 for display. Also, electronic device 60 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 660. As shown, network adapter 660 communicates with other modules of electronic device 60 over bus 630. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 60, including, but not limited to: microcode, end device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like. It should be noted that while several modules or sub-modules of a signal processing system are mentioned in the above detailed description, such partitioning is merely exemplary and not mandatory. Indeed, the features and functionality of two or more units/modules described above may be embodied in one unit/module in accordance with embodiments of the present invention. Conversely, the features and functions of one unit/module described above may be further divided into ones that are embodied by a plurality of units/modules.
Furthermore, although the operations of the methods of the present invention are depicted in the drawings in a particular order, this is not required to either imply that the operations must be performed in that particular order or that all of the illustrated operations be performed to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform.
While the spirit and principles of the present invention have been described with reference to several particular embodiments, it is to be understood that the invention is not limited to the disclosed embodiments nor does it imply that features of the various aspects are not useful in combination, nor are they useful in any combination, such as for convenience of description. The invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

Claims (11)

1. A signal processing method, comprising:
dividing target data carried by each subcarrier signal in the carrier signals to obtainrThe sub-data is used to determine the sub-data,ris an integer greater than 1;
for each sub data, acquiring bias data of the sub data;
determining a modulation signal for the sub-data based on the bias data and the sub-carrier signal;
demodulating the modulation signal to obtain demodulation information of the sub data;
the target data is binary data, and the obtaining the bias data of the sub data includes:
for each modulation stream in the subcarrier signal, acquiring the bit number of the sub-data carried by the modulation stream;
acquiring the sub data from the target data according to the bit number;
performing decimal conversion on the sub data to obtain a decimal conversion result;
calculating a first sum value of offset corresponding to the sub data of the decimal conversion result;
the first sum is taken as the bias data.
2. The method of claim 1, wherein the dividing the target data carried by the subcarrier signal results inrThe sub data includes:
performing whitening treatment on the target data to obtain a whitening treatment result;
obtaining the modulation stream number of the subcarrier signalr；
Dividing the whitening processing result intorSub-data of equal length.
3. The method of claim 1, wherein performing a decimal conversion on the sub-data to obtain a decimal conversion result comprises:
interleaving the sub data to obtain an interleaving result;
and performing decimal conversion on the interweaving result to obtain a decimal conversion result.
4. The method of claim 1, wherein the carrier signals are LoRa signals, and wherein the sub-carrier signals in the carrier signals are mutually orthogonal.
5. The method of claim 1, wherein demodulating the modulated signal to obtain demodulation information for the sub-data comprises:
acquiring first sum values of modulation signals of all sub-data, and normalizing the first sum values to obtain a normalization result;
performing correlation operation on the normalization result and a preset signal to obtain correlation operation;
performing Fourier transform on the correlation operation to obtain a Fourier transform result;
and determining demodulation information of the sub-data based on the Fourier transform result.
6. The method of claim 5, wherein the determining demodulation information for the sub-data based on the fourier transform result comprises:
acquiring power corresponding to each frequency point in the Fourier transform result, and determining the maximum power from the power;
calculating a difference value of the maximum power and the offset corresponding to the sub data;
and taking the difference value as demodulation information of the sub data.
7. The method of claim 6, wherein the obtaining the power corresponding to each frequency point in the fourier transform result comprises:
for each frequency point in the Fourier transform result, calculating the product of the signal value of the frequency point and the conjugate of the signal value;
and acquiring a real part of the product, and taking the real part as the power corresponding to the frequency point.
8. The method of claim 6, wherein said deriving maximum power from said power comprises:
determining a search range according to the spread spectrum factor;
and acquiring the maximum power from the power in the searching range.
9. A signal processing system, comprising:
target data scribingA sub-module for dividing the target data carried by each sub-carrier signal in the carrier signals to obtainrThe sub-data is used to determine the sub-data,ris an integer greater than 1;
the bias data acquisition module is used for acquiring bias data of each piece of sub data;
a modulation signal acquisition module for determining a modulation signal of the sub-data based on the bias data and the sub-carrier signal;
the demodulation information acquisition module is used for demodulating the modulation signal to obtain demodulation information of the sub data;
the target data is binary data, and the bias data acquisition module comprises:
a bit number obtaining unit, configured to obtain, for each modulation stream in the subcarrier signal, a bit number of the sub data carried by the modulation stream;
a sub-data obtaining unit, configured to obtain the sub-data from the target data according to the bit number;
the decimal conversion result generation unit is used for performing decimal conversion on the sub data to obtain a decimal conversion result;
a first sum value obtaining unit, configured to calculate a first sum value of offset amounts of the decimal conversion result and the sub data;
and the bias data generating unit is used for taking the first sum value as the bias data.
10. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the signal processing method of any one of claims 1 to 8.
11. A computer readable storage medium, characterized in that instructions in the computer readable storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the signal processing method of any one of claims 1 to 8.
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