Robust Constrained Least Square Constant Modulus Algorithm

In practical problems, the constrained least square constant modulus algorithm (LSCMA) can suffer significant performance degradation in the presence of the slight mismatches between the actual and presumed array responses to the desired signal. In this paper, a novel robust constrained LSCMA is proposed based on explicit modeling of uncertainties in the desired signal array response. The proposed algorithm provides excellent robustness against the signal steering vector mismatches, enhances the array system performance in the perturbation situation and makes the mean output array SINR consistently close to the optimal one. Computer simulations demonstrate a better performance gain of the proposed algorithm compared as linear constrained LSCMA algorithm.