DocumentCode :
904420
Title :
Tracking of fast-fading channels in long-code CDMA
Author :
Sung, Youngchul ; Tong, Lang
Author_Institution :
Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
Volume :
52
Issue :
3
fYear :
2004
fDate :
3/1/2004 12:00:00 AM
Firstpage :
786
Lastpage :
795
Abstract :
A new technique for blind tracking of fast-fading channels in long-code code division multiple access (CDMA) is proposed by exploiting multipath diversity. Based on a linear interpolation channel model, the proposed method blindly identifies a time-varying channel at arbitrary estimating points within a block up to a scale factor and increases bandwidth efficiency allowing only one pilot symbol within a block, which is much larger than channel coherence time. The proposed method can be implemented using an efficient state-space inversion technique for multiuser cases. The mean square error (MSE) performance of the proposed estimator is compared with the Cramer-Rao bound (CRB) for interpolated channel. Modeling error and bit error rate (BER) are also evaluated using Monte-Carlo simulations and compared with the block fading model and a decision-directed tracking technique.
Keywords :
Monte Carlo methods; channel coding; channel estimation; code division multiple access; diversity reception; error statistics; fading channels; interpolation; mean square error methods; mobile radio; state-space methods; time-varying channels; BER; Cramer-Rao bound; MSE; Monte-Carlo simulations; bandwidth efficiency; bit error rate; channel coherence time; channel estimation; code division multiple access; decision-directed tracking technique; fast fading channel tracking; interpolated channel; linear interpolation channel model; long-code CDMA; mean square error; multipath diversity; pilot symbols; scale factor; state-space inversion technique; time-varying channel identification; Bandwidth; Bit error rate; Channel estimation; Code division multiplexing; Coherence; Fading; Interpolation; Multiaccess communication; Peak to average power ratio; Time-varying channels;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2003.822362
Filename :
1268370
Link To Document :
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