基于SCPSO算法的MCPC雷达波形优化设计

Optimal waveform design based on SCPSO algorithm for MCPC radar

摘要:

针对多载波互补相位编码MCPC信号在应用中存在包络起伏大等问题，结合混沌映射和自适应混沌粒子群SCPSO算法提出了一种优化设计。设计将编码信号的主瓣峰值与最大旁瓣值比PSLR作为单独的评判依据，结合混沌序列类随机的性质对混沌序列进行两级筛选，得到自相关函数旁瓣较低的混沌编码序列组。考虑到MCPC信号结构的特点，应用SCPSO算法调整子载波权重因子来优化信号的PMEPR。仿真分析表明，优化设计能在保证MCPC信号优良自相关特性的情况下，有效降低信号的包络起伏。

Abstract:

In order to solve the problem of large envelope fluctuation in the application of MCPC radar signal, this paper proposes an optimization design based on chaotic mapping and SCPSO algorithm, and makes revelant simulation analysis. PSLR of the coded signal is used as a separate evaluation basis. Combined with the random-like property of the chaotic sequence, the sequence is screened by two levels, and a group of chaotic coded sequences with lower autocorrelation function sidelobes is obtained. Considering the characteristics of MCPC signal structure, SCPSO algorithm is applied to adjust the subcarrier weight factor to optimize the PMEPR of the signal. As a result, the design can effectively reduce the signal envelope fluctuation while ensuring the excellent autocorrelation characteristics of MCPC signal.