DocumentCode :
1357138
Title :
A Low-Complexity and Efficient Channel Estimator for Multiband OFDM-UWB Systems
Author :
Wang, Zhongjun ; Xin, Yan ; Mathew, George ; Wang, Xiaodong
Author_Institution :
Wipro Techno Centre Singapore, Singapore, Singapore
Volume :
59
Issue :
3
fYear :
2010
fDate :
3/1/2010 12:00:00 AM
Firstpage :
1355
Lastpage :
1366
Abstract :
This paper proposes an efficient channel-estimation scheme for multiband (MB) orthogonal frequency-division multiplexing (OFDM)-based ultrawideband (UWB) communication systems and, more specifically, for practical implementation of low-cost, high-speed, UWB-based wireless universal serial bus (USB) devices. The proposed channel estimator consists of two stages. The first stage employs a simple least-squares (LS) method together with a frequency-domain smoothing operation that estimates the channel using the available training sequence. The second stage uses this channel estimate to detect the frame header and then refines the channel estimate by using a decision-directed technique. The mean-squared error performance and computational complexity of the proposed scheme are analyzed. Numerical examples show that the proposed scheme substantially outperforms the conventional LS approach and that it performs comparably to the maximum-likelihood estimator, under various highly noisy multipath channel conditions.
Keywords :
OFDM modulation; channel estimation; frequency-domain analysis; least mean squares methods; maximum likelihood estimation; ultra wideband communication; UWB-based wireless universal serial bus; channel estimation; decision directed technique; frequency domain smoothing operation; least square method; maximum likelihood estimation; mean square error performance; multiband OFDM-UWB systems; orthogonal frequency division multiplexing; ultrawideband communication system; Channel estimation; decision-directed; frequency-domain smoothing; orthogonal frequency-division multiplexing (OFDM); ultrawideband (UWB);
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2009.2038270
Filename :
5353651
Link To Document :
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