Title :
Adaptive channel estimation using Least Mean Squares algorithm for Cyclic Prefix OFDM systems
Author :
Pooh, E. Ling ; Lim, Wee Gin ; Ali, Hassan
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Nottingham, Semenyih, Malaysia
Abstract :
Orthogonal frequency division multiplexing (OFDM) delivers high data transmission rate and forms the basis of Beyond 3G. The channel estimation is imperative for the implementation of OFDM. Cyclic Prefix (CP) based block Recursive Least Squares (RLS) channel estimation algorithm has been proposed for OFDM systems but it increases computational complexity. In this paper, we propose a block LMS (Least Mean Squares) channel estimation algorithm which promises less computation but delivers comparable and promising results.
Keywords :
3G mobile communication; OFDM modulation; adaptive estimation; channel estimation; least mean squares methods; adaptive channel estimation; beyond 3G; block LMS; block recursive least squares; cyclic prefix OFDM systems; data transmission rate delivers; least mean squares algorithm; Channel estimation; Degradation; Digital video broadcasting; Knowledge engineering; Least mean square algorithms; Least squares approximation; OFDM; Resonance light scattering; System performance; Wireless LAN; Channel estimation; LMS; OFDM; RLS; cyclic prefix;
Conference_Titel :
Communications (MICC), 2009 IEEE 9th Malaysia International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-5531-7
DOI :
10.1109/MICC.2009.5431386
