基于多种群分层协作遗传算法的MIMO雷达正交多相编码信号设计

正交多相编码信号具有大输出主副比和高安全性而倍受关注,利用自相关旁瓣峰值、互相关峰值、总的自相关旁瓣能量和互相关能量最小设计了MIMO雷达正交多相编码信号优化的代价函数.基于多种群协作及高层种群高效决策的思想,运用普通群体挖掘优化空间而高层种群引导种群更快的收敛到全局最优解,提出了多种群分层协作遗传算法,并将其应用于MIMO雷达正交多相编码信号设计,实现了MIMO雷达信号的距离、速度测量的同时提高分辨力,仿真结果表明了本文方法的有效性和可靠性.

Multi-swarm Delaminated Cooperation Genetic Algorithm based MIMO Radar Polyphase Code Design

The polyphase code signals win popularity and attention for its big output main -side ratio and high security, the cost function of the MIMO radar polyphase code optimization is set up based on auto-correlation sidelobe peak, cross correlation peak, the total auto-correlation sidelobe energy and the total cross correlation energy. Then, based on the idea of the multi-swarm cooperation and the high level swarm''s high effective decision, the normal particle is utilized to search in optimize space, and the high level particles lead the swarm convergence to the global best solution more quickly. As a result, a new algorithm called Multi-swarm delaminated cooperation Genetic Algorithm is proposed and applied to the MIMO radar polyphase code design, which enables the MIMO radar signals to own high resolutions in both distance and velocity measurements, the computational simulation results show that the proposed algorithm is effective and reliable.