A hybrid approach based on PSO and GA for array optimization in MIMO radar

作者：Shi Ronghua; Zhu Xuanzi; Dong Jian^*; Xie Yujia; Guo Ying

来源：Journal of Central South University(Science and Technology), 2013, 44(11): 4499-4505.

• Adaptive adjustment
• Adaptive operators
• Array optimization
• Cross-over probability
• Fast convergence
• Multi-input multi-output
• Mutation probability
• Thinned array

A hybrid approach was proposed to synthesize the MIMO radar antenna arrays with low peak side lobe levels (PSLLs). Particle swarm optimization (PSO) and genetic algorithm (GA) were mixed into a hybrid approach, which can make full use of the advantages of each to find the optimal array arrangements. In order to resolve the problem that traditional GA was prone to be "premature", an improved adaptive operator was proposed, and the adaptive adjustments of crossover probability and mutation probability were realized. The results show that the optimal PSLLs can be achieved by hybrid approach. The hybrid approach with the adaptive operator produces more satisfactory results on the best value, and shows that the new method has fast convergence and higher robustness than the particle swarm optimization and genetic algorithm and other documents presented different adaptive operators.

• 出版日期2013
• 单位中南大学