Research on sar moving target detection and parameter estimations based on STAP-FrFT-DPC

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作者：

School of Electronics and Information Technology, Harbin Institute of Technology, Harbin 150001, China ^{[1
]}

机构：

来源：

Yuhang Xuebao | 2008年 / 4卷 / 1358-1363期

关键词：

Echo suppression - Radar target recognition - Radar clutter - Signal to noise ratio - Clutter (information theory) - Space time adaptive processing - Synthetic aperture radar;

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摘要：

An approach for SAR moving target dectetion was proposed in this paper, on the basis of the detailed analysis of STAP technique and fractional Fourier transform (FrFT). The new algorithm which combines STAP technique, DPCA technique with FrFT, can realize the localization and velocity estimations in both ground range direction and azimuth direction, when it comes to a three-channel radar system. Because of the good capability of STAP technique for clutter cancellation and the nice effect of FrFT for chirp signal detection, the new algorithm can suppress the clutter and realize the localization and velocity estimations well in different signal-to-noise ratio conditions. The simulation results validated the effectiveness of this algorithm.

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