A semi-blind algorithm for most significant tap detection in channel estimation of OFDM systems

Feng Wan, Wei-Ping Zhu, M.N.S. Swamy
2009 2009 IEEE International Symposium on Circuits and Systems  
In this paper, a semi-blind algorithm is proposed for the detection of most significant tap (MST) in the sparse channel estimation of OFDM systems. Based on an analysis of the secondorder statistics of the signal received through a noise-free sparse channel, a direct relationship between the positions of the most significant taps (MST) of the sparse channel and the lags of the nonzero correlation functions is revealled, leading to an efficient semi-blind MST detection algorithm. By using the
more » ... hm. By using the acquired MST position, a sparse least square channel estimate is then obtained. A number of computer simulation-based experiments are carried out to confirm the effectiveness of the proposed semiblind MST detection algorithm and the associated sparse LS channel estimation method.
doi:10.1109/iscas.2009.5117821 dblp:conf/iscas/WanZS09 fatcat:hl6aou6bunbgbp4d55js5rn7za