Adaptive Filtering Algorithm for LFM Signal in fraction Fourier domain

It is not very good results to achieve the filter of the LFM (linear frequency modulation signal) signal by the method of deal with stationary signal. In this paper, an adaptive method for filtering the LFM signal is proposed, using the characteristic of good energy concentration on LFM signal in fraction Fourier transform domain. Adaptive filter algorithm adopted improve step-size LMS algorithm, it made improvements to the traditional LMS algorithm, the algorithm added to a limiting factor, in order to resolve conflicts between Convergence speed and steady-state mis-adjustment, and to improve filtering performance in fraction Fourier transform domain.LMS algorithm was used well, because its Robustness was very good and its structure was simple, it was seen to be easy in computation and simple in implementation, Simulation results represent that the proposed LMS algorithm has good performance than the traditional LMS algorithm in fraction Fourier transform domain.