Foresight scanning radar super-resolution imaging method based on splitting Bregman

Abstract

The invention discloses a foresight scanning radar super-resolution imaging method based on splitting Bregman. The foresight scanning radar super-resolution imaging method is applied to the technicalfield of radar imaging. By introducing the sparse goal constraint under a Bayes framework, the foresight scanning radar angular super-resolution problem is converted into the L1 regularization problem; then according to the Bregman iteration method, a Bregman iteration strategy of the L1 regularization problem is derived; then according to the splitting Bregman thought, variable separation is conducted, and the target variable is solved; finally, the rest variables are updated, algorithm terminal judgment is conducted, and through crossed iteration, the azimuth resolution is increased.

Description

technical field [0001] The invention belongs to the technical field of radar imaging, in particular to an airborne forward-looking scanning radar azimuth super-resolution technology. Background technique [0002] Radar has all-weather and all-weather working capabilities. The realization of high-resolution imaging of targets in the forward-looking area of ​​airborne radar is of great significance for improving pilots' ability to observe the front area, guiding weapons to accurately strike targets, and implementing airborne security. This requires airborne radar At the same time, it has high resolution capabilities in both range and azimuth directions. The existing forward-looking scanning radar achieves high resolution in the range direction by transmitting a chirp signal with a large time-width-bandwidth product and performing matched filtering on the echo. High resolution requirements. [0003] Aiming at the problem of low azimuth resolution of forward-looking scanning r...

AI Technical Summary

Problems solved by technology

The existing forward-looking scanning radar achieves high resolution in the range direction by transmitting a chirp signal with a large time-width-bandwidth product and performing matched filtering on the echo. high resolution requirement

[0003] Aiming at the problem of low azimuth resolution of forward-looking scanning radar imaging, the document "S.M.Sherman and D.K.Barton, Monopulse principles and techniques. Artech House, 2011." proposed a method using monopulse technology to achieve azimuth detection of a single target. High resolution, but this method cannot distinguish multiple targets in the same lobe; document "A new Sector Imaging Radar for Enhanced Vision-SIREV" (SPIEConference on Enhanced and Synthetic Vision, 1999, pp.39-47, Florida), An array antenna is used to form an aperture to achieve forward-looking imaging, but the size of the antenna aperture is limited by the size of the platform, resulting in a limited improvement in azimuth resolution; the literature "Dropkin H, Ly C. Superresolution for scanning antenna [C] / / RadarConference, 1997 .,IEEE National.IEEE,1997:306-308."A SMUSIC algorithm is proposed, which uses the echo obtained from multiple scans to estimate its second-order statistical characteristics, and uses the subspace method to estimate the target Super-resolution, but this method relies on the prior information of the target number, and needs to scan the target area multiple times, and the real-time performance is poor

Images