Target detection method based on subspace clutter cancellation in complex Gaussian clutter
A Gaussian clutter and target detection technology, applied in the field of radar signal processing and target detection, which can solve the problems of high demand for training samples and high target distance side lobes
Pending Publication Date: 2021-09-03
NAVAL AVIATION UNIV
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[0006] The purpose of the present invention is to provide a complex Gaussian clutter based subspace clutter cancellation for the problems of high training sample requirements and high distance sidelobes of strong targets faced by clutter suppression and target detection in the complex Gaussian clutter background. The target detection method, the technical problems to be solved include:
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[0024] The present invention will be described in further detail below in conjunction with the accompanying drawings. Refer to the attached figure 1 , the specific embodiment of the present invention divides the following steps:
[0025] (1) Obtain the echo data without matched filter processing under the radar coherent pulse train observation mode;
[0026] The radar emits coherent pulse trains with a pulse repetition frequency f r , the number of pulses is K, the waveform of each transmitted pulse is the same, and the column vector s=[s 0 ,...,s N-1 ] T Indicates that N is the number of waveform sampling points, each sampling point corresponds to a distance resolution unit, and the superscript T indicates transposition; N and K satisfy the relationship of N<K;
[0027] The range echo of each pulse is sampled according to the Nyquist sampling theorem to obtain a range-dimension sampling sequence with a length of L; thus the echo data in the radar coherent pulse train obs...
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The invention relates to a target detection method based on subspace clutter cancellation in complex Gaussian clutter, and belongs to the technical field of radar signal processing and target detection. The method comprises the following steps: 1) acquiring echo data which are not subjected to matched filtering processing; 2) for each distance unit, recombining a data matrix; 3) calculating a covariance matrix corresponding to each distance unit; 4) calculating a non-iterative adaptive pulse compression filter weight vector corresponding to each distance unit; 5) calculating a non-iterative adaptive pulse compression filtering output result corresponding to each distance unit; 6) calculating test statistics corresponding to each distance unit; and 7) calculating a CFAR detection threshold corresponding to the false alarm probability. Compared with a conventional method of firstly matching filtering and then self-adaptive clutter suppression and target detection, the detection method provided by the invention solves the problem of high-distance sidelobe of a strong target easily occurring in conventional pulse compression, realizes clutter suppression through coherent source cancellation, and has CFAR capability.
Description
technical field [0001] The invention belongs to the technical field of radar signal processing and target detection, in particular to the target detection technology in radar target detection. Background technique [0002] Under the condition of complex Gaussian clutter and transmitting coherent bursts, fully adaptive radar clutter suppression and target detection technology often requires a large number of independent and identically distributed range unit echo data as training samples, especially in digital array radar Under observation conditions, the number of required training samples is particularly large. At the same time, the large sidelobe formed when the strong target echo pulse is compressed also significantly reduces the performance of the conventional "matched filtering first and then adaptive clutter suppression and target detection" method. [0003] For the first problem, under the condition of limited number of training samples, the diagonal loading techniqu...
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IPC IPC(8): G01S7/292G01S7/41
CPCG01S7/2927G01S7/414
Inventor 黄勇刘宁波关键董云龙丁昊于恒力王国庆薛永华
Owner NAVAL AVIATION UNIV