针对多监视区域下MIMO雷达站点优化配置问题,本文提出了一种性能偏好可控的站点优化配置算法。首先,梳理了衡量监视性能的指标函数并建立优化问题的数学模型;其次,提出了基于动态参考点的粒子群优化算法(PSO),在ZDT1-ZDT3系列测试函数下仿真验证了该算法的有效性,定量评估了其相对于传统静态参考点PSO算法的优势;然后,利用基于动态参考点的PSO算法对MIMO雷达站点配置问题进行优化,获取性能偏好可控的站点配置方案集;最后,在实际MIMO雷达站点配置场景下验证了该算法的有效性。

Antenna deployment for a distributed multi-input multi-output( MIMO) radar under the situation of multiple surveillance regions is studied. This paper puts forward an antenna deployment algorithm with controllable performance preference to solve the problem. Firstly, analyze the performance index function to evaluate the performance and establish the optimization mathematical model. Secondly, a dynamic reference point based particle swarm optimization( PSO) algorithm is put forward and the effectiveness of the algorithm is validated by simulation on ZDT series benchmarks, and its advantages over the traditional static reference point based PSO algorithm are quantitatively evaluated. Then, the dynamic reference point based PSO algorithm is used to optimize the MIMO radar antenna deployment model, and obtain antenna deployment schemes with controllable performance preference. Finally, the effectiveness of the algorithm is verified by simulation under the real scene for MIMO radar antenna deployment.

TN953

自然科学基金资助面上项目(61971109);国防科技创新特区支持项目(重点项目); 中央高校基本科研业务费资助项目(ZYGX2018H009)