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A method and device for acquiring fretting features

A feature extraction and feature subset technology, applied in the field of data processing, can solve the problem of low accuracy of warhead targets

Active Publication Date: 2020-12-22
BEIJING INST OF ENVIRONMENTAL FEATURES
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The echo signal of the radar includes not only the micro-movement characteristics of the warhead target, but also the spin and macroscopic motion characteristics of the warhead target. The warhead target can be identified directly by processing the radar echo signal. the presence of other jamming signatures will lead to a lower accuracy rate of warhead target identification

Method used

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  • A method and device for acquiring fretting features
  • A method and device for acquiring fretting features
  • A method and device for acquiring fretting features

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0127] Such as figure 1 As shown, the micro-movement feature acquisition method provided by the embodiment of the present invention may include the following steps:

[0128] Step 101: Obtain the radar echo signal of the warhead target;

[0129] Step 102: Perform time-frequency analysis on the radar echo signal to obtain a signal energy distribution function;

[0130] Step 103: Extract at least one micro-motion feature of the warhead target according to the signal energy distribution function and the radar echo signal;

[0131] Step 104: Filter the extracted micro-movement features through a support vector machine (SVM) classifier to obtain an optimal feature set including at least one micro-motion feature.

[0132] In the micro-movement feature acquisition method provided by the embodiment of the present invention, after acquiring the radar echo signal of the warhead target, the corresponding signal energy distribution function is obtained by performing time-frequency analysis...

Embodiment 2

[0134] On the basis of the micro-movement feature acquisition method provided in Embodiment 1, the process of obtaining the signal energy distribution function by performing time-frequency analysis on the radar echo signal in step 102 can be specifically implemented in the following manner:

[0135] The Wigner-Ville distribution is used to analyze the time-frequency of the radar echo signal, and the signal energy distribution function of the warhead target is obtained, that is, the specific form of the Wigner-Ville distribution signal energy distribution function of the radar echo signal s(t) is as follows:

[0136]

[0137] where, where, W z (t, f) represents the distribution of the signal energy of the radar echo signal in the time domain and frequency domain, the function z(t) represents the analytical signal of the radar echo signal s(t), and the function z * (t) is obtained by performing Fourier transform on the function z(t), which can represent the analytical signal ...

Embodiment 3

[0140] On the basis of the micro-movement feature acquisition method provided in Embodiment 2, after obtaining the signal energy distribution function of the warhead target, a time-frequency diagram corresponding to the radar echo signal is generated according to the signal energy distribution function, and then the time-frequency diagram can be In the micro-motion region, the frequency amplitude of the time-frequency diagram on the frequency axis can be determined. The frequency amplitude is the width of the time-frequency diagram, and the width of the time-frequency diagram can describe the precession of the warhead target. The width of the frequency map is determined as a fretting feature of the warhead target.

[0141] After the time-frequency diagram is generated according to the signal energy distribution function, the region containing the micro-Doppler frequency is determined on the time-frequency diagram, which is the micro-motion region. By extracting the time-freque...

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Abstract

The invention relates to the technical field of data processing, and provides a method and device for obtaining micro-motion characteristics. The method for obtaining the micro-motion characteristicscomprises the steps that radar echo signals of a warhead target are acquired; the time-frequency analysis of the radar echo signals is carried out to obtain a signal energy distribution function; according to the signal energy distribution function and the radar echo signals, at least one micro-motion characteristic of the warhead target is extracted; and a SVM classifier is used for filtering theextracted micro-motion characteristics, and an optimal feature subset including at least one of the micro-motion characteristics is obtained. The device for obtaining the micro-motion characteristicsincludes an acquisition unit, a time-frequency analysis unit, a characteristic extraction unit and a characteristic filtering unit. According to the method and device for obtaining the micro-motion characteristics, the micro-motion characteristics can be obtained from the radar echo signals.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a method and device for acquiring micro-movement features. Background technique [0002] The warhead target will use spin to maintain stability when it is released, but due to the existence of various lateral disturbances, the warhead target will also appear precession and nutation, and these movements jointly process the micro-motion form of the warhead target. The micro-motion characteristics of the warhead target can reflect its structure, size, and micro-motion frequency motion parameters, and the warhead target can be identified through these parameters. In order to identify the warhead target, the warhead target is generally detected by radar at present. Since the radar echo signal contains the micro-movement characteristics of the warhead target, the warhead target recognition is realized by processing the radar echo signal. The echo signal of the radar in...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/41
CPCG01S7/415
Inventor 李波唐传子肖志河
Owner BEIJING INST OF ENVIRONMENTAL FEATURES
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