CN-121995405-A - Satellite positioning interference identification method and device, electronic equipment and storage medium

CN121995405ACN 121995405 ACN121995405 ACN 121995405ACN-121995405-A

Abstract

The application relates to the technical field of satellite positioning interference identification, in particular to a satellite positioning interference identification method, a device, electronic equipment and a storage medium, which comprise the steps of receiving satellite signals, and preprocessing the satellite signals to obtain preprocessed baseband signals; the method comprises the steps of extracting phase characteristics, carrier-to-noise ratio characteristics, power intensity characteristics, ranging residual characteristics, doppler change characteristics, correlation peak distortion characteristics and time-space consistency characteristics from a preprocessed baseband signal in a combined mode to form a multi-dimensional characteristic set, screening the multi-dimensional characteristic set to obtain screened key characteristics, constructing a characteristic combination vector with a unified format according to the screened key characteristics, and identifying the type of an interference signal according to the characteristic combination vector. Therefore, the problem of incomplete coverage of single-dimension feature identification is solved, the feature of the interference signal can be captured more comprehensively and accurately, misjudgment is reduced, and the identification rate of the interference signal such as deception, suppression and the like is improved.

Inventors

LIU ZHONGHAI
LI SHUNZHONG
ZHANG YULONG

Assignees

湖南时空信安科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260409

Claims (10)

1. A satellite positioning interference identification method, comprising: Receiving satellite signals, and preprocessing the satellite signals to obtain preprocessed baseband signals; From the preprocessed baseband signal, jointly extracting phase characteristics, carrier-to-noise ratio characteristics, power intensity characteristics, ranging residual characteristics, doppler change characteristics, correlation peak distortion characteristics and time-space consistency characteristics to form a multidimensional characteristic set; Screening the multidimensional feature set to obtain screened key features; constructing a feature combination vector with a unified format according to the screened key features; and identifying the type of the interference signal according to the characteristic combination vector.
2. The method of claim 1, wherein receiving the satellite signal and preprocessing the satellite signal to obtain a preprocessed baseband signal comprises: A multichannel parallel capturing technology is adopted, and satellite signals of a plurality of frequency points are received simultaneously; down-converting the satellite signals to a baseband, and sequentially amplifying and filtering to obtain filtered signals; And performing at least one of multipath time delay symmetrical compensation, carrier phase micro jump tracking calibration, nonlinear coupling distortion closed loop correction, impulse interference sparse elimination, amplitude-phase coupling predistortion compensation and noise entropy optimization whitening treatment on the filtered signal to obtain a preprocessed baseband signal.
3. The method of claim 2, wherein in jointly extracting the sets of multidimensional features, differential feature weights are employed for different interference types: Aiming at deception jamming, extracting weights of the phase characteristic, the Doppler change characteristic and the ranging residual error characteristic are improved; aiming at suppressing interference, the extraction weight of the carrier-to-noise ratio characteristic and the power intensity characteristic is improved; And aiming at multipath interference, the extraction weights of the correlation peak distortion characteristics and the space-time consistency characteristics are improved.
4. The method of claim 3, wherein the screening the multi-dimensional feature set to obtain screened key features comprises: Calculating pearson correlation coefficients among all the features in the multidimensional feature set, and eliminating redundant features with the pearson correlation coefficients larger than a first preset threshold value to obtain candidate features; Determining an interference sensitivity of each of the candidate features; screening candidate features with interference sensitivity higher than a second preset threshold value to obtain the screened key features.
5. The method of claim 1, wherein constructing a feature combination vector in a unified format from the filtered key features comprises: Normalizing the screened key features; and splicing the phase characteristic, the carrier-to-noise ratio characteristic, the power intensity characteristic, the ranging residual error characteristic, the Doppler change characteristic, the correlation peak distortion characteristic and the time-space consistency characteristic into the characteristic combination vector according to a preset sequence.
6. The method of claim 1, wherein said identifying an interfering signal type based on said feature combination vector comprises: And calling a preset interference recognition algorithm library to classify and recognize the feature combination vector to obtain an interference signal type, wherein the preset interference recognition algorithm library comprises at least one of a support vector machine, a random forest and a long-term and short-term memory network.
7. The method of claim 6, wherein said identifying an interfering signal type based on said feature combination vector comprises: carrying out weighted calculation on output results of at least two interference recognition algorithms by adopting a dynamic weighted fusion strategy to obtain a fusion recognition result; and determining the type of the interference signal based on the fusion recognition result and a preset interference judgment threshold value.
8. A satellite positioning interference identification device, comprising: the receiving module is used for receiving satellite signals and preprocessing the satellite signals to obtain preprocessed baseband signals; The joint extraction module is used for jointly extracting phase characteristics, carrier-to-noise ratio characteristics, power intensity characteristics, ranging residual characteristics, doppler change characteristics, correlation peak distortion characteristics and space-time consistency characteristics from the preprocessed baseband signals to form a multidimensional characteristic set; The screening module is used for screening the multidimensional feature set to obtain screened key features; the construction module is used for constructing a feature combination vector with a unified format according to the screened key features; and the identification module is used for identifying the type of the interference signal according to the characteristic combination vector.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method according to any one of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium for storing a computer program, the computer program being loaded by a processor to perform the steps of the method of any one of claims 1 to 7.

Description

Satellite positioning interference identification method and device, electronic equipment and storage medium Technical Field The present application relates to the field of satellite positioning interference recognition technologies, and in particular, to a satellite positioning interference recognition method, device, electronic apparatus, and storage medium. Background The satellite positioning interference recognition technology is used for recognizing and judging possible interference signals in the satellite positioning process so as to determine whether the satellite signals are interfered and what type of interference (such as deception interference, suppression interference and the like) is received, thereby ensuring the normal operation and positioning precision of a satellite positioning system, avoiding positioning errors or failures caused by interference and providing reliable support for various applications (such as navigation, military and other fields) depending on satellite positioning. The existing satellite positioning interference recognition technology has various defects, such as single-dimensional feature recognition, incomplete coverage, low recognition rate aiming at a single scene, poor adaptability and insufficient algorithm robustness under the influence of different interference types on satellite signals, and the single algorithm has misjudgment on noise and other interference recognition and has low recognition rate. Disclosure of Invention The application provides a satellite positioning interference identification method, a satellite positioning interference identification device, electronic equipment and a storage medium, which can solve at least one technical problem in the background technology to a certain extent. In order to achieve the above purpose, the application adopts the following technical scheme: in a first aspect, a satellite positioning interference identification method is provided, the method comprising: Receiving satellite signals, and preprocessing the satellite signals to obtain preprocessed baseband signals; From the preprocessed baseband signal, jointly extracting phase characteristics, carrier-to-noise ratio characteristics, power intensity characteristics, ranging residual characteristics, doppler change characteristics, correlation peak distortion characteristics and time-space consistency characteristics to form a multidimensional characteristic set; Screening the multidimensional feature set to obtain screened key features; constructing a feature combination vector with a unified format according to the screened key features; and identifying the type of the interference signal according to the characteristic combination vector. In a second aspect, a satellite positioning interference recognition device is provided, including: the receiving module is used for receiving satellite signals and preprocessing the satellite signals to obtain preprocessed baseband signals; The joint extraction module is used for jointly extracting phase characteristics, carrier-to-noise ratio characteristics, power intensity characteristics, ranging residual characteristics, doppler change characteristics, correlation peak distortion characteristics and space-time consistency characteristics from the preprocessed baseband signals to form a multidimensional characteristic set; The screening module is used for screening the multidimensional feature set to obtain screened key features; the construction module is used for constructing a feature combination vector with a unified format according to the screened key features; and the identification module is used for identifying the type of the interference signal according to the characteristic combination vector. In a third aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the satellite positioning interference identification method according to any one of the first aspects when the processor executes the computer program. In a fourth aspect, embodiments of the present application provide a computer readable storage medium storing a computer program which, when executed by a processor, implements a satellite positioning interference identification method as in any one of the first aspects above. In a fifth aspect, an embodiment of the application provides a computer program product for, when run on an electronic device, causing the electronic device to perform the satellite positioning interference identification method according to any one of the first aspects. It will be appreciated that the advantages of the second to fifth aspects may be found in the relevant description of the first aspect, and are not described here again. In the embodiment of the application, a satellite signal is received at first, the satellite signal is preprocessed to obtain a pr