基于自适应遗传算法的最优M序列码搜索  

Optimum M-Sequence Search Based on Adaptive Genetic Algorithm

作　　者：危涛[1] 宋万杰[1] 张林让[1] 

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071

出　　处：《雷达科学与技术》2010年第3期250-253,共4页Radar Science and Technology

摘　　要：编码信号已经广泛地应用于现代雷达系统中,而编码信号的旁瓣抑制一直是雷达信号处理中有待优化的问题。提出一种基于自适应遗传算法(AGA)优化搜索M序列二相码波形的方法。对于M序列,初始寄存器的选择对于主副比是很关键的。自适应遗传算法的遗传算子交叉概率与变异概率可自适应调整。与标准遗传算法(SGA)相比,这种算法能更好地避免"早熟"现象,保持了物种样本的多样性,最终能够收敛到脉压特性更好的序列。试验结果证明了该方法的可行性和有效性。Coded Signals have been widely used in modern radar systems.The sidelobe suppression for coded signal is always a problem to be optimized in radar signal processing.A algorithm of searching optimum M-sequence based on adaptive genetic is presented in this paper.For the M-sequence, the selection of the best initial register is the main factor that affects the compression ratios.Its crossover probability and mutation probability can change adaptively.This algorithm can get rid of premature and then converge to a sequence with a higher pulse compression ratio.The simulation and performance analysis demonstrates the feasibility and validity of the algorithm.

关 键 词：M序列旁瓣抑制 自适应遗传算法 自适应调整 收敛 

分 类 号：TN957[电子电信—信号与信息处理] TP18[电子电信—信息与通信工程]