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.