Optimum M-sequence Search via Immune Clonal Selection Algorithm

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