A Super-Resolution Scheme for Multichannel Radar Forward-Looking Imaging Considering Failure Channels and Motion Error
Rui Chen, Wenchao Li, Kefeng Li, Yongchao Zhang, Jianyu Yang
Abstract
To obtain high-resolution images of the objects in front of platform, a super-resolution scheme for multichannel radar forward-looking imaging considering failure channels and motion error is proposed in this study. In the scheme, a failure channel detection method based on the correlation of pulse-compressed data of different channels is presented first, and then a revised steering matrix considering failure channels and motion error is constructed. Finally, the echo data are processed by the iterative adaptive approach (IAA) with the revised steering matrix. Simulation results are given to illustrate the effectiveness of the proposed scheme when dealing with failure channels and motion error.