Searching low sidelobes maximal length sequence based on genetic algorithm
基于遗传算法搜索低旁瓣最大长度序列

Maximal length sequences that generated by linear feedback shift register, widely used in pulse compression radar. For sequences of different feedback have different sidelobe characteristics of aperiodic autocorrelation function, currently, there is no effective way to find the maximum length sequence with a low sidelobe characteristics. This paper searched the best feedback of linear feedback shift register. The aperiodic autocorrelation function characteristics of maximal length sequence were very good generated by this feedback. It used MATLAB to simulate the search process of genetic algorithm, aperiodic autocorrelation function of maximal length sequence, gave 4~15 feedback table of linear feedback shift register. And it used windowing in aperiodic autocorrelation function of maximal length sequence, obtained a lower side-lobe level.