A maximum posterior estimated angle super-resolution imaging method based on generalized Gaussian constraints

Abstract

The invention discloses a maximum posterior estimated angle super-resolution imaging method based on generalized Gaussian constraints. Targeted at problems of low resolution of real wave beam radar azimuths in the prior art, the method provided by the invention regards maximum posterior probability density function values of target scattering coefficients as estimation for the target scattering coefficients; under different discrete parameters, different target statistical characteristics and noise statistical characteristics are constraint by generalized Gaussian distribution and regarded as prior information; further, a deconvolution problem of calculating the target scattering coefficients is converted into a regularization estimation problem with variable regularization items; and finally, solving of a regularization estimation problem is realized through utilization of a conjugate gradient algorithm; the solving method is converted into an iterative operation; subsequently, radar angle super-resolution imaging is realized; and problems of low resolution of the azimuths in a scan imaging mode are solved.

Description

technical field [0001] The invention belongs to the technical field of radar imaging, and is particularly suitable for a super-resolution method of real beam scanning radar azimuth angle. Background technique [0002] The all-day and all-weather working characteristics of radar make radar widely used in civilian fields. Radar forward-looking high-resolution imaging requires both range and azimuth to have high resolution. Realizing high-resolution imaging of the radar platform's forward-looking area can make it play a huge role in ground search, environmental monitoring, long-distance reconnaissance and other fields. [0003] Real-beam scanning radar is a commonly used radar working mode. Through the mechanical scanning of the real-aperture antenna, the imaging area is irradiated successively and the target scattering coefficient information is obtained. The high resolution in the range direction can be achieved by transmitting a chirp signal and using the range pulse compre...

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Problems solved by technology

[0004] The literature "S.M.ShermanandD.K.Barton, Monopulse principles and techniques. ArtechHouse, 2011" proposes a method using monopulse technology, which can achieve high resolution in azimuth for a single target, but this method cannot distinguish multiple targets in the same lobe

Prez-Martnezetal in the literature "F. Prez-Martnez, J. Garcia-Fominaya, and J. Calvo-Gallego, Ashift-and-convolution technique for high-resolution radar images. Sensors Journal, IEEE, vol.5, no.5, pp.1090–1098, 2005." proposed a shifted convolution technique to achieve high-resolution imaging of real-beam radar, but this method only achieves high resolution in the range direction, and does not improve the resolution in the azimuth direction

Literature "S.UttamandN.A.Goodman, Superresolution of coherent sources in real-beamdata, Aerospace and Electronic Systems. IEEETransactionson, vol.46, no.3, pp.1557–1566, 2010" and literature "Y.Zhang, Y.Zhang, Y.Huang, J .Yang, Y.Zha, J.Wu, and H.Yang, Mliterative superresolution approach for real-beamradar.inRadarConference, 2014IEEE.IEEE, 2014, pp.1192–1196" proposed to use the spectral estimation method to achieve azimuth super-resolution imaging, but the motion The problem of how the platform gets enough snapshots has not been solved, and the problem of how to improve the effectiveness of the calculation still exists

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