Comparison between NU-CNLMS and GA for Antenna Array Failure Correction

In this paper, the comparison between two algorithms for the array failure correction or the re-optimization of radiation pattern is presented which are the non-uniform norm constrained least mean square (NU-CNLMS) and genetic algorithm (GA) respectively. By using those algorithms, array elements' excitation are redistributed to optimize the side-lobe level and null depth of the array pattern which belongs to an equidistance linear array antenna and it has the function of adaptive beam-forming by using the algorithm of minimum variance distortion less response. The performance differences between those failure correction algorithms are compared under feature selective verification algorithm by simulation and the conclusion is drawn that NU-CNLMS algorithm is little better than GA in the situation under investigation.