Method of realizing high-resolution imaging of forwarding looking radar

Abstract

The invention discloses a method of realizing high-resolution imaging of a forwarding looking radar. The method uses the least squares to address the problem that a matrix is not a square matrix of a radiation pattern, uses the truncated singular value decomposition method to suppress amplification of noise, resolves the estimation amount of an object scattering function, and realizes high-resolution imaging of forward looking scanning radar direction. According to the application, the method is fully aware of the problem of possible information loss in the presence of an object on an edge in traditional tsvd processing method which decomposes on the basis of a matrix truncated singular value and then resolves an inversion. According to the application, the method addresses the problem that a matrix is not a square matrix of a radiation pattern, and by using least squares, obviates the need for processing an original matrix, resolves an error minimum resolution by 2-nom minimization, saves edge information, and resolves the estimation amount of the object scattering function; the method analyzes and solves too loud noise in the process of resolving the estimation amount, and uses the truncated singular value decomposition method to suppress the amplification of the noise, such that the method realizes high-resolution imaging of the forward looking scanning radar.

Description

technical field [0001] The invention belongs to the technical field of radar imaging, in particular to high-resolution imaging of an airborne forward-looking scanning radar. Background technique [0002] Radar forward-looking imaging is widely used in military and civilian fields such as terrain avoidance, precision guidance, autonomous landing, sea detection and imaging, blind flight of aircraft, and terrain following. Traditional imaging methods, such as Doppler beam sharpening technology and synthetic aperture imaging, are limited by the imaging mechanism and cannot achieve azimuth high-resolution imaging in the forward-looking area. The existing forward-looking imaging method mainly uses the convolution characteristic of scanning imaging, and solves the target scattering function matrix through the method of matrix solution to achieve high resolution in azimuth. In the document "M A Richards. Iterative non-coherent angular super-resolution radar [C]. Radar Conference, P...

AI Technical Summary

Problems solved by technology

[0017] In order to solve the above-mentioned technical problems, the present invention proposes a method for realizing high-resolution imaging of forward-looking radar, through truncated singular decomposition (TSVD, Truncated Singular Value Decomposition) processing of the inverse term in the least-squares term, suppressing the solution method due to Noise amplification phenomenon due to inherent ill-conditioning, while edge information is not lost

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