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Radar signal intra-pulse modulation type identification method based on combined time-frequency characteristics

A radar signal and type recognition technology, applied in character and pattern recognition, instruments, computer components, etc., can solve the problems of time-consuming, in-depth research, and cumbersome manual feature extraction process

Pending Publication Date: 2019-06-11
THE 724TH RES INST OF CHINA SHIPBUILDING IND
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Problems solved by technology

At present, characteristic parameters such as time-frequency feature, fractional Fourier transform (FRFT) feature, wavelet packet and wavelet ridge frequency feature have achieved good recognition results in the field of radar emitter identification, but it cannot be ignored: The effectiveness and universality of these artificially designed feature parameters in the identification of radar emitters remains to be further studied; the artificial feature extraction process is time-consuming and cumbersome, which not only requires the designer to have certain prior knowledge, but also has a strong pertinence It will make the database update and upgrade slow; if the essential features of the signal with strong discrimination can be extracted, it will be of great significance to the subsequent classifier design and the improvement of recognition performance

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  • Radar signal intra-pulse modulation type identification method based on combined time-frequency characteristics
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  • Radar signal intra-pulse modulation type identification method based on combined time-frequency characteristics

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Embodiment Construction

[0014] A radar signal modulation type recognition algorithm based on joint deep time-frequency features proposed by the present invention, the specific implementation steps are as follows:

[0015] In step a, the time-domain signal is characterized as a two-dimensional time-frequency distribution by short-time Fourier transform (STFT).

[0016] In step b, the time-frequency image often leads to the "curse of dimensionality" due to its high dimensionality. Principal component analysis (PCA) and random projection (RP) are used to jointly reduce its dimensionality to obtain a joint dimensionality reduction space Γ.

[0017] Step c. Vectorize the dimensionally reduced time-frequency samples to construct an input data vector vec(·).

[0018] The determination of the joint dimensionality reduction space and the input data vector in steps b and c is calculated by the following formula:

[0019] Γ=[Γ RP ,Γ PCA ]=[R RP (S(t,f)),R PCA (S(t,f))] (1);

[0020] vec(Γ)=x∈R d (Γ) (2);...

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Abstract

The invention relates to a radar signal modulation type identification method based on combined time-frequency characteristics, and is applied to the field of radar signal intra-pulse analysis and identification. According to the invention, radar signals are mapped to a two-dimensional time-frequency domain through short-time Fourier transform; and dimension reduction processing is carried out onthe signal time-frequency image from the perspective of signal energy and characteristic subspace by combining principal component analysis and matrix random projection, and mining combined depth characteristics of the time-frequency image by adopting a hierarchical automatic encoder model to realize classification and identification of signal types. The combined depth time-frequency feature recognition performance is better, the mined deep features are helpful for improving the recognition precision, and the algorithm is more efficient.

Description

technical field [0001] The invention is applied to the field of intrapulse analysis and identification of radar signals. Background technique [0002] The analysis and identification method of radar signal intrapulse modulation is an important content of electronic reconnaissance in current electronic warfare. The continuous advancement of radar technology makes the radar signals that current electronic reconnaissance has to face increasingly complex. The current mature signal sorting and recognition methods are based on pulse descriptors. Not high. Therefore, there is a need for a new method that can more effectively identify the type of intrapulse modulation of a signal. At present, characteristic parameters such as time-frequency feature, fractional Fourier transform (FRFT) feature, wavelet packet and wavelet ridge frequency feature have achieved good recognition results in the field of radar emitter identification, but it cannot be ignored: The effectiveness and unive...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 蒋兵茅玉龙
Owner THE 724TH RES INST OF CHINA SHIPBUILDING IND
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