Title :
A URVD based subspace method for blind channel estimation in OFDM systems
Author :
Bai, Wei ; He, Chen ; Zhu, Hang-Wen
Author_Institution :
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., China
Abstract :
The blind channel estimation problem in orthogonal frequency division multiplexing (OFDM) systems is investigated. A new algorithm called URV decomposition, which serves as an intermediary between QR decomposition and singular value decomposition (SVD), is used to track the space of the received data. URV decomposition has almost the same estimation performance as SVD, but has less computational complexity.
Keywords :
OFDM modulation; channel estimation; computational complexity; intersymbol interference; singular value decomposition; tracking; ISI; OFDM systems; QR decomposition; URV decomposition; blind channel estimation; computational complexity; intersymbol interference; orthogonal frequency division multiplexing; singular value decomposition; space tracking; subspace method; AWGN; Blind equalizers; Digital video broadcasting; Helium; Matrix decomposition; Maximum likelihood estimation; Null space; OFDM; Singular value decomposition; Throughput;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1180037
