Multi-channel synthetic aperture radar rpca combined amplitude-phase target detection method and device

Abstract

Aiming at the multi-channel synthetic aperture radar system under the strong clutter background, the present invention combines the Robust Principal Component Analysis (RPCA) method and the amplitude-phase joint detection method to propose a multi-channel synthetic aperture radar RPCA amplitude-phase joint target detection method and device . In this method, the focused image columns of each channel are vectorized and stacked to obtain a matrix X, and then the matrix X is decomposed by the improved RPCA method to obtain a low-rank matrix L and a sparse matrix S, and finally the phase information is introduced for joint detection of amplitude and phase. The invention comprehensively considers the specific clutter and moving target information, effectively improves the moving target detection performance; fully combines the advantages of RPCA and amplitude-phase joint detection method through the two-step detection method, and reduces the false alarm rate under the condition of low signal-to-clutter ratio ; and the matrix decomposition technology adopted by the method of the present invention can greatly reduce the computational 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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