Scanning radar super-resolution imaging method

Abstract

The invention discloses a scanning radar super-resolution imaging method. The method comprises the following steps of: performing distance-to-pulse compression; constructing a convolution matrix; initializing the convolution matrix; calculating an echo autocorrelation matrix; regularizing the echo autocorrelation matrix; performing orientation-to-parameter estimation; judging whether iteration is performed until a convergence state appears; and outputting super-resolution imaging results. According to the scanning radar super-resolution imaging method, an orientation-to-echo spectrum estimation model is constructed according to a radar antenna scanning process; a scanning radar imaging problem is converted into a parameter estimation problem; and amplitude and orientation estimation is performed on a site through an iteration self-adaptive method. Compared with an existing method, the scanning radar super-resolution imaging method can be applicable to low signal-to-noise ratio and has high robustness; and at the same time, with the scanning radar super-resolution imaging method adopted, robust imaging results can be obtained with a single times of scanning.

Description

technical field [0001] The invention belongs to the technical field of radar, relates to radar imaging, and in particular relates to a scanning radar azimuth super-resolution method. Background technique [0002] With its advantages of strong penetration, all-weather, large dynamic range and high imaging quality, radar imaging technology has become an irreplaceable technical means in the field of detection today, and is playing an increasingly important role in many fields. Scanning radar imaging is an important imaging method for radar stationary platforms and moving platforms. In scanning radar imaging, high resolution can be obtained by matching the chirp signal in the range direction, but the resolution in the azimuth direction is limited by the real aperture. Length restrictions. [0003] For scanning radar imaging, especially how to improve the azimuth resolution, the document "A new Sector Imaging Radar for Enhanced Vision–SIREV, SPIE Conference on Enhanced and Synth...

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Problems solved by technology

Scanning radar imaging is an important imaging method for radar stationary platforms and moving platforms. In scanning radar imaging, high resolution can be obtained by matching the chirp signal in the range direction, but the resolution in the azimuth direction is limited by the real aperture. length limit

[0003] For scanning radar imaging, especially how to improve the azimuth resolution, the document "A new Sector Imaging Radar for Enhanced Vision–SIREV, SPIE Conference on Enhanced and Synthetic Vision, 1999, pp.39-47, Florida", uses the array The antenna forms an aperture to increase the real aperture of the antenna, but the size of the platform limits the expansion of the antenna aperture, resulting in a limited improvement in azimuth resolution; the literature "Iterative Noncoherent Angular Superresolution, IEEE National Radar Conference, pp.100–105.1988" , and "Radar angular superresolution algorithm based on Bayesian approach, IEEE Int.Conf.on Signal Processing, Dallas, TX, USA, March, 2010, pp.1894-1897", the azimuth echo is modeled as an antenna pattern Convolution with the scene target, and use the deconvolution method to improve the azimuth resolution, but this kind of method is not robust when the signal-to-noise ratio is low, and it is prone to false targets; the literature "Superresolution for Scanning Antenna, Radar Conference , 1997, IEEE National, pp:306-308" proposed a SMUSIC algorithm, this method uses the second-order statistical properties of the scanning echo to super-resolution the target, but this method requires a large number of samples and is not suitable for scanning radar live imaging

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