DocumentCode :
1227388
Title :
Channel estimation assisted by postfixed pseudo-noise sequences padded with zero samples for mobile orthogonal-frequency-division-multiplexing communications
Author :
Lin, J.-C.
Author_Institution :
Dept. of Commun. Eng., Nat. Central Univ., Taoyuan
Volume :
3
Issue :
4
fYear :
2009
fDate :
4/1/2009 12:00:00 AM
Firstpage :
561
Lastpage :
570
Abstract :
A channel estimation (CE) technique that uses a postfixed pseudo-random sequence padded with zero samples is investigated to extend pseudo-random-postfix orthogonal-frequency-division-multiplexing (PRP-OFDM) communications onto mobile applications. The proposed technique takes advantage of pseudo-noise sequences periodically inserted after each OFDM block within the original guard interval (GI) in conventional zero-padded OFDM (ZP-OFDM) or within the original cyclic prefix (CP) in conventional CP-OFDM. This allows accurate estimation of the channel impulse response. In addition, the proposed technique takes advantage of the null samples padded after the PN sequences for reducing inter-symbol interference occurring with the CEs and with the overlap-add information detection in the conventional PRP-OFDM. The proposed technique successfully applies either (1) a least-squares (LS) CE with assistance from decision-directed data or (2) an approximate LS CE method onto PRP-OFDM-like communications for the purpose of improving CE performance on rapid time-varying channels. Computer simulations in conjunction with statistical analysis assess the performance evaluation of the proposed technique and show that it can achieve lower mean-square estimation errors and lower error probabilities in mobile environments.
Keywords :
channel estimation; least mean squares methods; mobile communication; pseudonoise codes; statistical analysis; time-varying channels; channel estimation; channel impulse response; guard interval; lower error probabilities; mean-square estimation errors; mobile orthogonal-frequency-division-multiplexing communications; postfixed pseudo-noise sequences; statistical analysis; time-varying channels; zero samples;
fLanguage :
English
Journal_Title :
Communications, IET
Publisher :
iet
ISSN :
1751-8628
Type :
jour
DOI :
10.1049/iet-com.2008.0089
Filename :
4811901
Link To Document :
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