An Improved Particle Swarm Optimization Algorithm for Multicarrier Based Directional Modulation Symbol Synthesis in Time-Modulated Antenna Arrays

With the shrinking of the feasible domain, the problems of slow convergence and easy to fall into local optimum in Particle Swarm Optimization (PSO) algorithm become more serious. To solve this problem, the paper presents an improved PSO method. First, The mass of the initial population is optimized by using an opposition based learning strategy. Secondly, The algorithm is divided into two stages according to the feasible solution proportion of the population. The improved algorithm is applied to synthesize directional modulation signals on a time-modulated array (TMA). Experimental results show that the proposed algorithm has better convergence speed and optimization ability.