NDLI: Highly Efficient Sparse Multipath Channel Estimator with Optimal Chu-sequence Premable for MIMO Frequency-Domain DFE Receiver

Content Provider	IEEE Xplore Digital Library
Author	Jeng-Kuang Hwang Rih-Lung Chung Meng-Fu Tsai
Copyright Year	2006
Description	Author affiliation: Dept. of Commun. Eng., Yuan-Ze Univ. (Jeng-Kuang Hwang; Rih-Lung Chung; Meng-Fu Tsai)
Abstract	In this paper, a multiple input multiple output (MIMO) channel estimation scheme is proposed with both high accuracy and computational efficiency for sparse multipath channel. This algorithm exploits the optimal MIMO preamble based on repeated phase-rotated Chu sequences, and iteratively estimates the number and positions of the sparsely spaced multipath components by using the generalized AIC criterion (GAIC). In the light of the orthogonality of the Chu sequence, an efficient and order-recursive least squares channel update in frequency domain is derived. This scheme is simulated for 802.16d SCa-PHY and SUI-5 sparse channel model under a 2times2 spatial multiplexing scenario, with the MIMO frequency domain DFE as the receiver. The result shows that the channel estimation accuracy is significantly improved, and a performance loss of only 0.7-dB is incurred at the BER of $10^{-3},$ as compared to the case of perfect channel knowledge
Starting Page	755
Ending Page	759
File Size	447805
Page Count	5
File Format	PDF
ISBN	0780397533
DOI	10.1109/ISSPIT.2006.270899
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multipath channels Frequency estimation MIMO Channel estimation Frequency domain analysis Computational efficiency Iterative algorithms Phase estimation Least squares methods Performance loss MIMO FD-DFE sparse multipath channel channel estimation Chu sequence preamble design GAIC least squares
Content Type	Text
Resource Type	Article

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