標題: OFDM Channel Prediction Using Fuzzy Update LMS Algorithm in Time-Variant Mobile Channel
作者: Wen, Jyh-Horng
Chang, Cheih-Yao
Lee, Gwo-Ruey
Huang, Ching-Yao
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: Adaptive predictors;channel prediction;OFDM;least-mean-square (LMS) algorithm;fuzzy logic control;tracking analysis
公開日期: 2006
摘要: Channel predictor implemented by discrete Fourier transform (DFT) is considered, which predict the channel gain of each receiving path by adaptive filters. A fuzzy logic controlled step size could overcome the drawback of conventional least-mean-square error (LMS) algorithm. In this paper, LMS algorithm with fuzzy updated step size is proposed to realize the adaptive channel prediction in orthogonal frequency division multiplexing (OFDM) systems. Simulation results show that as compared to conventional LMS algorithm, the proposed algorithm can achieve a faster convergence rate and lower steady-state mean square error. The proposed algorithm can also achieve more robust tracking ability in the various channel environments.
URI: http://hdl.handle.net/11536/135191
ISBN: 978-1-4244-0062-1
ISSN: 1550-2252
期刊: 2006 IEEE 64TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-6
起始頁: 1943
結束頁: +
Appears in Collections:Conferences Paper