基于差分粒子群优化的MIMO雷达阵列综合
A Differential Particle Swarm Optimization Based Method for MIMO Radar Array Synthesis
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摘要: 提出一种基于差分粒子群优化算法(Differential Particle Swarm Optimization, DPSO)的MIMO 雷达方向图综合方法,通过发射、接收阵元位置和激励幅度的联合优化,可实现MIMO 雷达方向图旁瓣电平与零陷深度的联合控制。在粒子位置和速度更新机制的基础上,引入差分进化(Differential Evolution, DE)思想而设计的交叉、变异和位置扰动策略以保持种群在迭代后期的搜索多样性,从而改善算法的全局寻优性能。数值实验结果验证了所提方法的有效性以及相对其他算法的性能优势。Abstract: In this paper, a differential particle swarm optimization (DPSO) based method for MIMO radar antenna array synthesis is proposed. By optimizing element positions and excitation amplitude of transmitting receiving array, the method can achieve the control of both sidelobe levels and null depth. In DPSO, crossover, mutation, and random permutation operators origina-ting from differential evolutionary are introduced into basic PSO mechanisms to maintain the population diversity and improve global optimization capability. Numerical experimental results validate the effectiveness of the proposed method and its superiorities over other algorithms.
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