CN117439845A - Homologous detection method for pseudo random code frequency shift keying signal - Google Patents
Homologous detection method for pseudo random code frequency shift keying signal Download PDFInfo
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- 238000001514 detection method Methods 0.000 title claims abstract description 12
- 238000010586 diagram Methods 0.000 claims abstract description 30
- 238000000034 method Methods 0.000 claims abstract description 13
- 238000004891 communication Methods 0.000 claims description 13
- 230000002708 enhancing effect Effects 0.000 claims description 2
- 238000012545 processing Methods 0.000 abstract description 4
- 238000010276 construction Methods 0.000 description 4
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000012216 screening Methods 0.000 description 2
- 238000010845 search algorithm Methods 0.000 description 2
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/10—Frequency-modulated carrier systems, i.e. using frequency-shift keying
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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
- H04B1/713—Spread spectrum techniques using frequency hopping
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- 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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Abstract
The invention discloses a method for detecting the homology of a pseudo random code frequency shift keying signal, and belongs to the technical field of signal processing. A method for homology detection of a pseudo random code frequency shift keying signal, comprising: performing short-time Fourier transform on the received IQ signal data to generate a time-frequency diagram; determining the frequency and the start-stop time of each signal in the IQ signal data based on the time-frequency diagram; removing fixed frequency signals and interference signals in the IQ signal data based on the frequency and start-stop time of each signal to obtain an intermediate signal; constructing a characteristic relation diagram based on the intermediate signals; analyzing all pattern paths based on the characteristic relation diagram; constructing path discrimination criteria based on energy and bandwidth possessed by the homologous signals; and determining an optimal pattern path from all the pattern paths based on the discriminant criterion. The homology detection method has wide application range and strong universality.
Description
Technical Field
The invention belongs to the technical field of signal processing, and particularly relates to a method for detecting the homology of a pseudo random code frequency shift keying signal.
Background
The pseudo-random code frequency shift keying signal is a signal which uses pseudo-random code sequence to make frequency shift keying so as to make carrier frequency continuously jump and spread, namely, a commonly called frequency-hopping signal. The frequency hopping signal is mainly used for resisting the interference of the wireless channel in certain frequency bands, so that the fixed frequency interference only can interfere part of frequency division points, and the whole communication is not greatly affected.
Besides, the frequency hopping signal has strong concealment performance, and has the characteristics of high frequency hopping speed, quick change, multiple frequency hopping channels and the like, so that the frequency hopping signal is difficult to crack when the frequency hopping pattern is unknown.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a method for detecting the homology of a pseudo random code frequency shift keying signal.
The aim of the invention is realized by the following technical scheme: a method for homology detection of a pseudo random code frequency shift keying signal, comprising:
performing short-time Fourier transform on the received IQ signal data to generate a time-frequency diagram;
determining the frequency and the start-stop time of each signal in the IQ signal data based on the time-frequency diagram;
removing fixed frequency signals and interference signals in the IQ signal data based on the frequency and start-stop time of each signal to obtain an intermediate signal;
constructing a characteristic relation diagram based on the intermediate signals;
analyzing all pattern paths based on the characteristic relation diagram;
constructing path discrimination criteria based on energy and bandwidth possessed by the homologous signals;
and determining an optimal pattern path from all the pattern paths based on the discriminant criterion.
Further, performing short-time fourier transform on the received IQ signal data to generate a time-frequency diagram, including:
and performing short-time Fourier transform with the FFT point number of N on the IQ signal data received in unit time to generate a time-frequency diagram.
Further, determining the frequency and the start-stop time of each signal in the IQ signal data based on the time-frequency diagram comprises:
parallel signal detection is carried out on the IQ signal data with respect to the frequency domain, so as to obtain the start-stop time of the signal in the frequency band;
carrying out signal connectivity analysis on IQ signal data, and combining a plurality of signal parts belonging to the same signal to obtain a communication signal;
signal parameters of the communication signal are calculated, wherein the signal parameters comprise the start-stop frequency and the start-stop time of the signal.
Further, the homology detection method further comprises:
and denoising and enhancing the IQ signal data.
The beneficial effects of the invention are as follows:
(1) The invention has wide application range and strong universality, can be identified based on hardware detection equipment of any model, and can be simultaneously suitable for two conditions of speed change and constant speed;
(2) The invention does not depend on a large number of labeling samples, has low cost, is convenient for migration and is easy to deploy;
(3) The characteristic relation graph is based on the characteristics of the signal, and has high reliability and accuracy under the condition of limited other information.
Drawings
FIG. 1 is a flow chart of a homology detection method according to the present invention;
FIG. 2 is a flowchart of an algorithm for signal screening of IQ signal data according to the present invention;
FIG. 3 is a flowchart of an algorithm for performing optimal pattern search according to the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by a person skilled in the art without any inventive effort, are intended to be within the scope of the present invention, based on the embodiments of the present invention.
Referring to fig. 1 to 3, the present invention provides a method for detecting the homology of a pseudo random code frequency shift keying signal:
as shown in fig. 1, a method for detecting the homology of a pseudo random code frequency shift keying signal includes S100 to S700.
S100, performing short-time Fourier transform on the received IQ signal data to generate a time-frequency diagram.
Specifically, the FFT point number of the short-time Fourier transform is determined to be N, and the short-time Fourier transform with the FFT point number of N is performed on the IQ signal data received in unit time to generate a time-frequency diagram. Wherein the value of N can be determined according to the actual situation.
S200, determining the frequency and the start-stop time of each signal in the IQ signal data based on the time-frequency diagram.
In some embodiments, the IQ signal data is de-noised and enhanced, and then the frequency and start-stop time of each signal in the IQ signal data are determined.
In some embodiments, determining the frequency and start-stop time of each signal in the IQ signal data based on the time-frequency plot comprises: firstly, carrying out parallel signal detection on IQ signal data in a frequency domain to obtain the start-stop time of each signal in the frequency band; then, carrying out signal connectivity analysis, and combining a plurality of signal parts belonging to the same signal to obtain a communication signal, wherein the plurality of signal parts are a signal but are separated into a plurality of signal parts due to signal-to-noise ratio or denoising processing; and finally, calculating signal parameters of the communication signals, wherein the signal parameters of the communication signals comprise the start-stop frequency, the start-stop time, the signal-to-noise ratio and the like of the signals.
S300, removing fixed-frequency signals and interference signals in the IQ signal data based on the frequencies and start-stop time of each signal to obtain intermediate signals.
Specifically, the communication signal is judged according to a preset judgment standard of the fixed frequency signal and the interference signal, if the communication signal is the fixed frequency signal or the interference signal, the communication signal is removed, otherwise, the communication signal is reserved, and then all reserved communication signals are recorded as intermediate signals.
As shown in fig. 2, the signal coarse divider performs an algorithm (including S200 and S300) mainly to perform signal screening on the received IQ signal data, and then sends the obtained signal to an optimal pattern search algorithm for further discrimination. Specifically, first, parallel detection of signals is performed on a time-frequency diagram after noise reduction enhancement with respect to frequency, that is, the frequency resolution of the time-frequency diagram with respect to the entire frequency band represented by the time-frequency diagram is divided into a plurality of sub-bands, existing signals are detected in parallel in each sub-band, and start-end position parameters of each signal are recorded in a signal start-end position parameter set. And then carrying out connectivity analysis and parameter calculation on the signals detected in parallel based on respective start and end positions, namely non-repeatedly traversing signal pairs in a signal start and end position parameter set, carrying out connectivity analysis on each pair of signals based on the frequency band where each pair of signals is positioned and the start and end positions, merging the start and end positions of the connected signals, reserving independent signals, and finally obtaining specific parameters of each signal after the connectivity analysis, wherein the parameters can be represented by a multidimensional vector, each component is a parameter such as the start frequency, the end frequency, the start time, the end time, the signal to noise ratio and the like of the signal, and recording the specific parameters of each detected signal in a detected signal parameter set. And finally, detecting each signal parameter in the detected signal parameter set, removing the fixed frequency signal and the interference signal which do not meet the requirements in the detected signal parameter set based on the discrimination criteria of the fixed frequency signal and the interference signal, and reserving the signal which meets the requirements so as to carry out subsequent analysis and processing.
S400, constructing a characteristic relation diagram based on the intermediate signals.
Specifically, based on the construction criterion of the feature relation diagram, the intermediate signal is utilized to construct the feature relation diagram, and because the signal is complex under the real condition, more than one feature relation diagram can be constructed, and the time sequence features of the pseudo random code frequency shift keying signal can not be constructed.
S500, analyzing all pattern paths based on the characteristic relation diagram.
Specifically, for each constructed feature relation graph, a possible pattern path is recursively searched, and for the sake of no inaccuracy, the sub-paths of the main path are added to the possible pattern paths.
S600, constructing path discrimination criteria based on energy and bandwidth of the homologous signals.
S700, determining an optimal pattern path from all pattern paths based on the discriminant criterion.
The most probable paths (i.e. the minimum losses) in all paths in the same characteristic relation diagram are selected as patterns of the pseudo random code frequency shift keying signal based on the path discrimination criteria, and the final output path may be discontinuous due to possible signal missing.
As shown in fig. 3, the signals obtained after the filtering through the coarse division of the signals may have timing characteristics corresponding to the pseudo random code frequency shift keying signals, and the signals may be analyzed by using an optimal pattern search algorithm (S400 to S700). Specifically, the signals in the detected signal parameter set obtained by the algorithm executed by the signal coarse divider are rearranged according to the start time of the signals. And then taking the first signal as an initial node of the characteristic relation graph, and constructing each node of the characteristic relation graph one by one for the initial node and each subsequent child node based on a construction criterion of the characteristic relation graph, wherein the construction criterion is mainly based on the homologous characteristics of the signal, and the homologous characteristics of the signal comprise bandwidth, duration, spatial position relation and the like. It should be noted that in the process of blindly constructing the feature relation graph, there may be more than one signal satisfying the correspondence with the target node, and all the related nodes need to be recorded for subsequent preference, that is, each node in the feature relation graph allows multiple precursors and multiple successes. When one feature relation graph is constructed, repeating the construction flow for the rest signals according to the occurrence time, finally possibly obtaining a plurality of feature relation graphs meeting the condition, and recording the feature relation graphs into a feature relation graph set one by one. Then, for each feature graph in the feature graph set, a possible pattern path is constructed based on the predecessor and successor relationships of its respective node. Since some nodes may have multiple predecessors or successors, each feature map may construct multiple possible pattern paths. And finally, optimizing each obtained pattern path based on a path discrimination criterion, wherein the path discrimination criterion is based on the homology similarity of the parameters of the signals, and selecting the pattern path with the highest similarity (namely, the path with the smallest discrimination error) as the final pattern path.
The foregoing is merely a preferred embodiment of the invention, and it is to be understood that the invention is not limited to the form disclosed herein but is not to be construed as excluding other embodiments, but is capable of numerous other combinations, modifications and environments and is capable of modifications within the scope of the inventive concept, either as taught or as a matter of routine skill or knowledge in the relevant art. And that modifications and variations which do not depart from the spirit and scope of the invention are intended to be within the scope of the appended claims.
Claims (4)
1. A method for detecting the homology of a pseudo random code frequency shift keying signal, comprising:
performing short-time Fourier transform on the received IQ signal data to generate a time-frequency diagram;
determining the frequency and the start-stop time of each signal in the IQ signal data based on the time-frequency diagram;
removing preset signals in the IQ signal data based on the frequency and start-stop time of each signal to obtain an intermediate signal;
constructing a characteristic relation diagram based on the intermediate signals;
analyzing all pattern paths based on the characteristic relation diagram;
constructing path discrimination criteria based on energy and bandwidth possessed by the homologous signals;
and determining an optimal pattern path from the all pattern paths based on the path discrimination criteria.
2. The method for detecting the homology of a pseudo random code frequency shift keying signal according to claim 1, wherein the step of performing short time fourier transform on the received IQ signal data to generate a time-frequency diagram comprises:
and performing short-time Fourier transform with the FFT point number of N on the IQ signal data received in unit time to generate a time-frequency diagram.
3. The method for detecting the homology of the pseudo random code frequency shift keying signal according to claim 1, wherein the determining the frequency and the start-stop time of each signal in the IQ signal data based on the time-frequency diagram comprises:
parallel signal detection is carried out on the IQ signal data with respect to the frequency domain, so as to obtain the start-stop time of the signal in the frequency band;
carrying out signal connectivity analysis on IQ signal data, and combining a plurality of signal parts belonging to the same signal to obtain a communication signal;
signal parameters of the communication signal are calculated, wherein the signal parameters comprise the start-stop frequency and the start-stop time of the signal.
4. The method for detecting the homology of a pseudo random code frequency shift keying signal as claimed in claim 1, wherein said method for detecting the homology further comprises:
and denoising and enhancing the IQ signal data.
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