The Impact of Genetic Algorithm's Parameters on Random Interference Nulling for Circular Array

The suppression of random interference nulling for uniform circular array using an improved binary coding method is investigated in this paper, which is based on Genetic Algorithm (GA) applied to smart antenna beamforming. The code lengths of the algorithm's least amplitude significant bits and least phase significant bits are analyzed, and their impacts on algorithm's performance are discussed. As a result, the optimal selection ranges of genetic parameters are given by simulation. The simulation results show that the improved algorithm can efficiently achieves a good adaptive suppression against the random interference.