基于鲸鱼优化算法的失配滤波器设计

Design of Mismatch Filter Based on Whale Optimization Algorithm

针对相位编码信号在脉压雷达中旁瓣抑制的问题,提出了利用鲸鱼优化算法(Whale Optimization Algorithm,WOA)对其失配滤波器进行设计。在鲸鱼优化算法收敛速度较慢的基础上,提出了一种非线性收敛因子(Nonlinear Convergence Factor,NCF)对传统的鲸鱼优化算法进行了改进。改进后的鲸鱼优化算法相比之前的具有更好的收敛性能,更容易找到全局最优值。利用该优化算法对滤波器进行求解,对13位巴克码和不同长度的m序列进行仿真,仿真结果表明,基于改进后鲸鱼优化算法所设计的失配滤波器能够有效地抑制距离旁瓣。

To deal with the sidelobe suppression problem of the phase-encoded signal of pulse compression radar,a whale optimization algorithm(WOA)is proposed to design its mismatch filter.In view of the slow convergence speed of whale optimization algorithm,a whale optimization algorithm based on nonlinear convergence factor(NCF)is proposed.The improved whale optimization algorithm has better convergence performance,and it is easier to find the global optimal value.The proposed optimization algorithm is used to solve the filter,and the 13-bit Barker code and m-sequences of different lengths are simulated.The simulation results show that the mismatch filter designed based on the improved whale optimization algorithm can effectively suppress the range sidelobes.