SAR Azimuth Signal Reconstruction Based on Adaptive Filtering for the DPC-MAB SAR System
Chen Qian①② Deng Yun-kai① Liu Ya-dong①② Shang Xiu-qin①②
①(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China) ②(Graduate School of Chinese Academy of Sciences, Beijing 100039, China)
Abstract:The DPC-MAB SAR system enables the reconstruction of the azimuth signal with quite low PRF by coherent process of the multichannel signals, hence relieving the contradiction of the azimuth resolution and the swath for the traditional monochannel SAR. In this paper the multichannel reconstruction algorithms based on beamforming are investigated. Considering the disadvantages of the non-adaptive beamformer and the Capon beamformer, a novel Minimum Output Energy (MOE) beamforming algorithm is proposed, which can modify the space steering vectors adaptively, and can restrain the correlative ambiguities by the multiple restrictions. The effectiveness of this method is verified by the computer-based simulations and the imaging of the real SAR data.
陈倩, 邓云凯, 刘亚东, 尚秀芹. 基于自适应滤波的DPC-MAB SAR方位向信号重建[J]. 电子与信息学报, 2012, 34(6): 1331-1336.
Chen Qian, Deng Yun-Kai, Liu Ya-Dong, Shang Xiu-Qin. SAR Azimuth Signal Reconstruction Based on Adaptive Filtering for the DPC-MAB SAR System. , 2012, 34(6): 1331-1336.