基于免疫克隆算法的最优M序列搜索

二相编码脉冲压缩信号例如巴克码和M序列已经广泛应用于现代雷达系统中。二相编码波形设计中初始移位寄存器的选择是个关键技术，它直接决定了信号波形在满足最小峰值功率下能否具有最大脉压比。基于免疫学中的抗体克隆选择，提出了用免疫克隆算法（ICSA）来搜索M序列最优初始移位寄存器值。与标准遗传算法（SGA）和一种混合遗传算法（HGA）相比，文中提出的方法有效地战胜了早熟现象，得到了更优的搜索结果。实验结果证明了此算法的可行性和有效性。

Optimum M-Sequence Search Using Immune Clonal Selection Algorithm

The binary pulse compression codes such as the Barker code and M-sequences have been widely used in modern radar systems. The selection of the initial shift register of M-sequence is a key technique in pulse compression waveform design whose pulse compression waveform must have low peak power and large compression ratio. Based on the antibody clonal selection theory of immunology, the immune clonal selection algorithm(ICSA) to select the best initial shift register of M-sequences is presented here. Compared with the standard genetic algorithm(SGA) and a hybrid genetic algorithm(HGA), the approach used here can overcome the prematurity availably and has better searching results. Experimental results prove the feasibility and validity of this algorithm.