A Novel Adaptive Filtering for LFM Signal in FRFT Domain

摘要：

A novel adaptive filtering scheme based on Fractional Fourier Transform (FRFT) for time-varying linear frequency modulated (LFM) signal is introduced and characterized using the characteristic of good energy concentration on LFM signal in FRFT domain. Grading iterative calculation method is used to obtain the best rotation angle with low computational complexity. Leakage factor is introduced for adaptation to remove the memory effects and the step size is normalized by the power of input signals. In case of LFM signal in low SNR environment, the proposed normalized leakage LMS (NL–LMS) algorithm provides less error and faster convergence. In the end, effects of different parameters on convergence are studied and simulation results present the proposed algorithm has good convergence properties and small mean square error in fast time-varying and low SNR (SNR=-10dB) environment.

关键词： adaptive filtering fractional Fourier transform grading iterative leakage LMS normalized LMS

作者: Xiaolong Chen Jian Guan Shicai Yu You He

作者单位: Department of Electronic and Information Engineering Naval Aeronautical and Astronautical University, NAAU Yantai, Shandong P.R.China, 264001

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 239-242

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）