DocumentCode :
1184478
Title :
Low-Complexity Mean-Delay Estimation for OFDM Systems
Author :
Choi, Ji-Woong ; Lee, Jungwon ; Choi, Jihwan P. ; Lou, Hui-Ling
Author_Institution :
Marvell Semicond., Inc., Santa Clara, CA, USA
Volume :
58
Issue :
7
fYear :
2009
Firstpage :
3790
Lastpage :
3795
Abstract :
In this paper, we propose two simple orthogonal frequency-division multiplexing (OFDM) mean-delay estimation schemes, i.e., a channel impulse response (CIR)-based scheme and a differential scheme, which are applicable for adaptive algorithms including improved channel estimation and fast handover. Instead of time-domain processing which requires additional inverse fast Fourier transform (IFFT), the mean delay can be obtained in the proposed CIR-based scheme using the estimated frequency-domain CIR. When cell-specific preamble sequences are employed, the mean delay can also be estimated without CIR estimation in the proposed differential scheme using cross correlation of differentially correlated received signals, enabling further complexity reduction and performance improvement when the CIR estimation is not sufficiently accurate. The performance of the proposed schemes is verified by computer simulation.
Keywords :
OFDM modulation; channel estimation; correlation methods; delay estimation; estimation theory; fast Fourier transforms; frequency-domain analysis; time-domain analysis; transient response; CIR estimation; OFDM systems; adaptive algorithms; cell-specific preamble sequences; channel estimation; channel impulse response; complexity reduction; cross correlation; differentially correlated received signals; estimated frequency-domain CIR; inverse fast Fourier transform; low-complexity mean-delay estimation; orthogonal frequency-division multiplexing; time-domain processing; Estimation; mean delay; orthogonal frequency-division multiplexing (OFDM);
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2009.2016426
Filename :
4797852
Link To Document :
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