Image domain DPCA false alarm suppression method based on polarization classification

Abstract

The multi-channel SAR-GMTI method mainly comprises the following steps: along track interference (ATI), a phase center offset antenna (DPCA), space-time adaptive processing (STAP), and the like, and is characterized in that the multi-channel SAR-GMTI method mainly comprises the following steps: carrying out interference along track (ATI), carrying out phase center offset antenna (DPCA), carrying out space-time adaptive processing (STAP), and the like. The DPCA technology carries out clutter suppression through complex data subtraction operation so as to detect a moving target, and the DPCA technology is simple in structure and easy to implement in engineering, so that the DPCA technology can be widely applied to an actual system. However, due to the fact that objective adverse factors such as noise inevitably exist in an actual system, a static target always has a tiny interference phase sometimes, and after subtraction, static clutter still has part of energy remaining. For a static target with strong scatterability on a road and a bridge, even if two channel signals only have a small amplitude phase difference, the residual clutter amplitude after DPCA processing is still very strong, a large number of false alarms are caused, and the moving target detection performance is influenced. In order to overcome the defects in the prior art, the invention provides an image domain DPCA (Dynamic Principal Component Analysis) false alarm suppression method based on polarization classification aiming at the problem of excessive false alarms in a typical SAR (Synthetic Aperture Radar) image domain DPCA moving target detection method in a complex terrain scene, and the false alarms caused by houses, bridges, street lamps and the like are suppressed through multi-polarization image ground object recognition, so that the moving target detection performance is improved.

Description

technical field [0001] The invention belongs to the field of synthetic aperture radar target detection, and in particular relates to a polarization classification-based image domain DPCA false alarm suppression method. Background technique [0002] Synthetic Aperture Radar (SAR) can obtain high-resolution two-dimensional images by using the motion of the flight carrier, and has a wide range of applications in military and civilian fields. With the increasingly complex modern battlefield environment, moving targets are often the focus of radar detection, so Ground Moving Target Indictation (GMTI) has become an indispensable and important function of SAR radar. In the SAR-GMTI system, the multi-channel system arranged along the track is the most common SAR-GMTI mode at present. The traditional single-channel system generally detects moving targets through Doppler parameters, while the multi-channel SAR-GMTI system usually generates The interchannel interferometric phase detec...

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the defects in the prior art, the present invention aims at the problem of too many false alarms in the typical SAR image domain DPCA moving target detection method in complex terrain scenarios, and proposes a polarization classification-based image domain DPCA false alarm suppression method , through multi-polarized image object recognition, suppress false alarms caused by houses, bridges, street lights, etc., and improve the performance of moving target detection

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