Robust channel blind equalization algorithm for multi-channel SAR/GMTI system

The channel mismatch is often inevitable for the actual multi-channel synthetic aperture radar/ground moving target indication (SAR/GMTI) system. Consequently, to enhance GMTI performance, the channel mismatch must be effectively calibrated. A robust channel blind equalization algorithm is investigated. This proposed algorithm is on the basis of the classical channel blind equalization algorithm with eigen-decomposition of data covariance matrix, and combines reduced-dimension processing and median estimate. Experimental results on measured SAR data demonstrate that compared with the conventional algorithm, this proposed algorithm not only shows a faster convergence rate but also exhibits convergence-robustness to targets in the training sample data.