Abstract：This paper focuses on the channel calibration for multi-channel Synthetic Aperture Radar (SAR) imagery. Incorporated with DBF processing, multi-channel SAR is promising in High-Resolution and Wide-Swath (HRWS) imaging. It coherently combines recorded multi-channel signals to overcome the spectrum ambiguity. However, the mismatch between channels and baseline errors should be compensated before the processing. In this paper, a novel calibration is proposed for multi-channel SAR HRWS imagery by making use of the orthogonality between signal subspace and noise subspace. The calibration is incorporated with the post-Doppler beam forming processing, which estimates the synthetic element error caused by nonideal factors. The real data experiment demonstrates the good performance of Doppler ambiguity suppression after our calibration. The results confirm the validity of the approach.
2010, Vol. 32 
