Performance improvement of alternate mainbeam nulling algorithm in coherent environment

The performance of the AMN algorithm is significantly improved by adjusting the convergence parameter for the unit gain constraint while that for the null constraint is fixed during adaptive process in coherent environment. This paper demonstrated that the AMN algorithm in general performs better than the conventional methods with respect to mean square error and the phase delay of the array output to the desired signal. Also, it is shown that the AMN algorithm is robust to increasing number of coherent interferences.