基于Grefenstette编码下MicPSO的离散频率编码波形设计

该文在分析离散频率编码波形信号(DFCW)的模糊函数基础上，建立了离散频率编码信号设计的优化模型，将微群粒子群优化算法(MicPSO)应用于DFCW设计。针对DFCW设计为排列优化问题，引入了Grefenstette编码作为MicPSO的粒子编码进行优化设计。仿真结果表明，DFCW的自相关峰值旁瓣、多普勒容限主要与信号码长有关，而通过该优化设计，信号的互相关性能得到极大改善，与已有方法相比，该方法时间开销小，优化结果更理想。

Discrete Frequency Code Waveform Based on MicPSO Cooperated with Grefenstette Coded

With the analysis of the ambiguity function for Discrete Frequency Code Waveform (DFCW) signals, the optimized model for DFCW design is established and the Micro swarm Particle Swarm Optimization (MicPSO) algorithm is proposed to design orthogonal discrete frequency-coding waveforms. As an arrangement issue, the DFCW design is optimized by using Grefenstette coding as MicPSO particle code. The simulated results show that, the DFCW’s Auto-correlation Sidelobe Peak (ASP) and Doppler tolerance are mainly determined by the length of coded signal, and the cross correlation properties is greatly improved based on the optimization method described in this paper. Compared with existing methods, the proposed method can save processing time and obtain better optimization results.