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Multi-parameter estimation method for micro-motion target under non-Gaussian background

A technology of micro-moving targets and Gaussian background, applied in the field of radar micro-Doppler imaging, can solve the problems of performance degradation of Fourier analysis methods, and achieve the effects of ensuring practical effects, improving imaging quality, and high output signal-to-noise ratio

Inactive Publication Date: 2017-05-24
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] The above methods for parameter estimation of micro-moving targets exhibit good performance in Gaussian backgrounds, however, the performance of Fourier analysis methods drops significantly in non-Gaussian backgrounds

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  • Multi-parameter estimation method for micro-motion target under non-Gaussian background
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  • Multi-parameter estimation method for micro-motion target under non-Gaussian background

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Embodiment Construction

[0037] A specific embodiment of the present invention is given below according to a MATLAB simulation example.

[0038] For the parameter estimation of the micro-moving target, the simulation scenario is as follows image 3As shown, the zero point of the coordinate system is located at the position of the transmitting antenna, and the four receiving antennas are placed at equal intervals along the x-axis. The horizontal interval between two adjacent receiving antennas is half wavelength d=λ / 2, and the center frequency of the radar transmitting signal is 1GHz 1. The linear frequency modulation signal with a bandwidth of 250MHz, the signal duration is 3.31ms, and the number of transmitted signal cycles is 512. The micro-movement target is located at (0,6)m, and the vibration frequencies of the target are 4Hz and 8Hz respectively. The simulation results of traditional Fourier analysis are shown in Figure 4 shown. As a result of traditional Fourier analysis, strong interference...

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Abstract

The invention provides a multi-parameter estimation method for a micro-motion target under a non-Gaussian background. The method comprises the steps of: based on a single input multiple output (SIMO) radar system, calculating an autocorrelation entropy matrix of each receiving channel for each distance unit by using a Gaussian kernel function; then, performing mutual correlation processing on the autocorrelation entropy matrixes of every two channels to obtain multiple groups of mutual correlation entropy matrixes; fusing the obtained mutual correlation entropy matrixes in an arithmetic fusion mode; and finally, performing phase comparison monopulse positioning on multi-channel echo signals, thus positioning the micro-motion target. The method can realize multi-micro-parameter estimation and target positioning for the micro-motion target under the non-Gaussian background, and can obtain better estimation performance while estimating target parameters.

Description

technical field [0001] The invention relates to the technical field of radar micro-Doppler imaging, in particular to a multi-parameter estimation method of a micro-moving target under a non-Gaussian background. Background technique [0002] In many detection systems, detection and estimation of micro-moving targets have important applications. For example, life signal detection can be realized during earthquake rescue; UAV wing recognition can be realized in the field of air defense and monitoring; mechanical vibration detection can be realized in terms of mechanical performance analysis. [0003] Many research institutions at home and abroad have carried out research on parameter estimation of micro-moving targets. Fourier analysis is an effective method to estimate micro-perturbation parameters of micro-moving targets. The National University of Defense Technology proposed a micro-motion period estimation method based on circular correlation coefficients (W.P.Zhang, K.L....

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 崔国龙熊丁丁付月陈树东冯力方孔令讲杨晓波易伟张天贤
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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