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中国高分三号双通道合成孔径雷达（SAR）传感器的首次星载SAR地面动目标指示（GMTI）实验结果

First Spaceborne SAR-GMTI Experimental Results for the Chinese Gaofen-3 Dual-Channel SAR Sensor.

作者信息

Wang Chenghao, Liao Guisheng, Zhang Qingjun

机构信息

National Key Laboratory of Radar Signal Processing, Xidian University, Shaanxi 710071, China.

Beijing Institute of Spacecraft System Engineering, China Academy of Space Technology, Beijing 100094, China.

出版信息

Sensors (Basel). 2017 Nov 21;17(11):2683. doi: 10.3390/s17112683.

DOI:10.3390/s17112683
PMID:29160832
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5713135/
Abstract

In spaceborne synthetic aperture radar (SAR) sensors, it is a challenging task to detect ground slow-moving targets against strong clutter background with limited spatial channels and restricted pulse repetition frequency (PRF). In this paper, we evaluate the image-based dual-channel SAR-ground moving target indication (SAR-GMTI) workflow for the Gaofen-3 SAR sensor and analyze the impact of strong azimuth ambiguities on GMTI when the displaced phase center antenna (DPCA) condition is not fully satisfied, which has not been demonstrated yet. An effective sliding window design technique based on system parameters analysis is proposed to deal with azimuth ambiguities and reduce false alarm. In the SAR-GMTI experiments, co-registration, clutter suppression, constant false alarm rate (CFAR) detector, vector velocity estimation and moving target relocation are analyzed and discussed thoroughly. With the real measured data of the Gaofen-3 dual-channel SAR sensor, the GMTI capability of this sensor is demonstrated and the effectiveness of the proposed method is verified.

摘要

在星载合成孔径雷达（SAR）传感器中，利用有限的空间通道和受限的脉冲重复频率（PRF）在强杂波背景下检测地面慢速移动目标是一项具有挑战性的任务。在本文中，我们评估了针对高分三号SAR传感器的基于图像的双通道SAR地面移动目标指示（SAR-GMTI）工作流程，并分析了在位移相位中心天线（DPCA）条件未完全满足时强方位模糊对GMTI的影响，这一点尚未得到论证。提出了一种基于系统参数分析的有效滑动窗口设计技术来处理方位模糊并降低虚警。在SAR-GMTI实验中，对配准、杂波抑制、恒虚警率（CFAR）检测器、矢量速度估计和移动目标重定位进行了全面的分析和讨论。利用高分三号双通道SAR传感器的实测数据，验证了该传感器的GMTI能力，并验证了所提方法的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b78d/5713135/33b64facf745/sensors-17-02683-g017.jpg
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