Jin Tingting, Qiu Xiaolan, Hu Donghui, Ding Chibiao
Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China.
School of Electronic, Electrical and Communication Engineering, University of the Chinese Academy of Sciences, Beijing 100049, China.
Sensors (Basel). 2017 Jul 25;17(8):1709. doi: 10.3390/s17081709.
Multichannel synthetic aperture radar (SAR) is a breakthrough given the inherent limitation between high-resolution and wide-swath (HRWS) faced with conventional SAR. This paper aims to obtain unambiguous imaging of static scenes and moving targets with the first Chinese dual-channel spaceborne SAR sensor. We propose an integrated imaging scheme with the dual-channel echoes. In the imaging scheme, the subspace-based error estimation algorithm is first applied to the spaceborne multichannel SAR system, followed by the reconstruction algorithm prior to imaging. The motion-adapted reconstruction algorithm for moving target imaging is initially achieved with the spaceborne multichannel SAR system. The results exhibit an effective suppression of azimuth ambiguities and false targets with the proposed process. This paper verifies the accuracy of the subspace-based channel error estimator and the feasibility of the motion-adapted reconstruction algorithm. The proposed imaging process has prospects for future HRWS SAR systems with more channels.
鉴于传统合成孔径雷达（SAR）在高分辨率和宽测绘带（HRWS）之间存在固有限制，多通道合成孔径雷达是一项突破。本文旨在利用中国首个双通道星载SAR传感器对静态场景和移动目标进行无模糊成像。我们提出了一种基于双通道回波的综合成像方案。在该成像方案中，基于子空间的误差估计算法首先应用于星载多通道SAR系统，然后在成像前进行重建算法。星载多通道SAR系统首次实现了用于移动目标成像的运动自适应重建算法。结果表明，所提出的处理方法有效地抑制了方位模糊和虚假目标。本文验证了基于子空间的通道误差估计器的准确性以及运动自适应重建算法的可行性。所提出的成像过程对未来更多通道的HRWS SAR系统具有应用前景。
