基于鸡群优化算法的旁瓣抑制滤波器设计

Design of sidelobe suppression filter based on Chicken Swarm Optimization Algorithm

文章针对相位编码雷达的距离旁瓣抑制问题,提出了基于鸡群优化算法的旁瓣抑制滤波器的设计方法。鸡群优化算法是一种全新的群智能优化算法,能够求解各类复杂的优化问题,具有良好的收敛性能,更容易找到全局最优值。最小峰值旁瓣(PSL)滤波器和最小积分旁瓣(ISL)滤波器的设计即为较复杂的优化问题,本文利用鸡群优化算法对这两种滤波器进行求解。实验仿真分析表明,通过鸡群优化算法设计的旁瓣抑制滤波器能有效地抑制距离旁瓣,并适用于各类编码信号。

A design method of sidelobe suppression filter based on chicken swarm optimization （CSO） algorithm is proposed to solve the problem of range sidelobe suppression of bi-phase coded radar. Chicken swarm optimization algorithm is able to solve many complex problems, which is a new swarm intelligence algorithm. CSO is able to avoid premature convergence and can find the global optimum easily. Designing PSL filter and ISL filter are complex optimization problems. In this paper, CSO is used to solve the problem. The experimental and simulation analysis proved that filter designed in this paper can effectively suppress the sidelobe, and this method is suitable for all kinds of coded signals.