An improved Genetic Algorithm Assisted Beamforming for Random Interference Nulling

This paper proposes an improved genetic algorithm (GA) assisted beamforming for a one-dimensional linear antenna array. Its performance of random interference nulling is studied. We design an improved binary code method for GA, which introduces several parameters to conveniently control the solution precision and search space. The simulation results show that the improved algorithm can efficiently gives a better adaptive suppression against the random interference, and has better convergence than the standardized GA