关键词: 粒子群算法, 正交编码, 自相关, 互相关, 雷达, 抗干扰

Abstract: In order to avoid the interference between the same model radars, the radar signals are generally asked to be orthogonal, so to design orthogonal signals with low auto-correlation and cross-correlation is the key to anti-jamming. Concerning the frequency-coded radar signals, improved Particle Swarm Optimization (PSO) algorithm was used to optimize the signal-coding sequences selected from which to meet the objective function to find the orthogonal codes group. Crossover and mutation idea of Genetic Algorithm (GA) was introduced to overcome the slow convergence and local optimum of Simple PSO (SPSO) algorithm, and design results were analyzed at last. The results show that the method is effective and feasible, and the performance is superior to that of SPSO, Simulated Annealing (SA) and Hybrid Genetic Algorithm (HGA).

Key words: Particle Swarm Optimization (PSO), orthogonal coding, auto-correlation, cross-correlation, radar, anti-jamming