Multi-channel synthetic aperture radar RPCA amplitude-phase joint target detection method and device

Abstract

Aiming at a multi-channel synthetic aperture radar system under a strong clutter background, the invention provides a multi-channel synthetic aperture radar RPCA amplitude-phase joint target detectionmethod and device in combination with a robust principal component analysis (PRCA) method and an amplitude-phase joint detection method. According to the method, firstly, focused images of all channels are subjected to column vectorization and then stacked to obtain a matrix X, then the matrix X is decomposed through an improved RPCA method to obtain a low-rank matrix L and a sparse matrix S, andfinally phase information is introduced for amplitude-phase joint detection. According to the method, specific clutter and moving target information are comprehensively considered, and the moving target detection performance is effectively improved; the advantages of an RPCA and amplitude-phase joint detection method are fully combined through a two-step detection method, and the false alarm rateunder a low signal-to-clutter ratio condition is reduced; and the matrix decomposition technology adopted by the method can greatly reduce the operation complexity and improve the algorithm efficiency.

Description

technical field [0001] The invention relates to a multi-channel synthetic aperture radar RPCA amplitude-phase combined target detection method and device, belonging to the technical field of radar imaging. Background technique [0002] Synthetic Aperture Radar (SAR) has received extensive attention in both civilian and military fields because of its all-weather and all-weather working capability. Ground Moving Target Indication (GMTI) is one of the most important tasks of SAR system for remote sensing detection, such as the detection of vehicles in traffic monitoring and the monitoring of terrorists in anti-terrorism. Usually, a weak target is likely to be submerged in a strong clutter background, which is difficult to detect in a simple way. Based on this, some traditional methods based on the multi-channel SAR (MC-SAR) system, such as the offset phase center antenna (DPCA) method, the space-time adaptive processing (STAP) method, and the along-track interferometry (ATI) m...

AI Technical Summary

Problems solved by technology

Although the standard RPCA method has the above advantages of suppressing clutter, if the value of the hyperparameters in the RPCA basic model is not appropriate, it may have a high false alarm rate (PFA) in the target detection process under low signal-to-clutter ratio conditions.

In addition, the robust principal component analysis method is less efficient and takes a lot of time iteratively to converge compared to the biased phase center antenna, space-time adaptive processing, and along-track interferometry methods

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