APPLYING GENETIC ALGORITHM TO ADAPTIVE ARRAY
遗传算法在天线阵自适应算法中的应用

In this paper, a new approach based on genetic algorithm (GA) is applied to adaptive array, in according to the limitation of hardware, the amplitude weights are not changed, but the phase weights are optimized globally with genetic algorithm. For reducing the perturbations to the far field pattern and placing multiple deep nulls real-time in the directions of interference, a genetic algorithm adjusts some of the least significant bits of the beam steering phase shifters. Simulation results confirm the theoretical work.