免疫算法在分数阶Fourier变换域极值优化中的应用
Application of immune algorithm to extremum searching in the fractional Fourier domain

利用线性调频(Linear Frequency Modulation, LFM)信号在分数阶Fourier域上的聚焦性,通过搜索可实现LFM信号的检测和参数估计。通常采用步进式搜索法,效率低下。为了克服该缺点,通过对分数阶Fourier域优化问题的研究,将免疫算法引入到分数阶Fourier变换极值搜索中。仿真结果表明:该方法优于传统的步进式搜索法。
Based on the concentrated characteristics of linear frequency modulation (LFM) signal in the fractional Fourier domain, the detection and parameter estimation of LFM signal are usually realized by step-based searching method for extremum searching in the fractional Fourier domain. In order to resolve the disadvantage of low efficiency of the step-based searching method, Immune Algorithm is introduced to the fractional Fourier transform for extremum searching with the study of fractional Fourier optimization. Simulation results show that the performance of the Immune algorithm is better than that of the traditional step-based method.