DocumentCode :
395358
Title :
Optimal and sub-optimal training sequence design for two-dimensional maximum-likelihood channel estimator for single-carrier and multicarrier quasisynchronous CDMA systems
Author :
Madhukumar, A.S. ; Yang, Kai ; Chin, Francois
Author_Institution :
Inst. for Infocomm Res., Singapore, Singapore
Volume :
4
fYear :
2003
fDate :
6-10 April 2003
Abstract :
This paper proposes a unified two-dimensional maximum-likelihood multipath channel estimator for both multicarrier and single-carrier CDMA systems with cyclic prefix. The conditions for the optimal training sequence and the lower bound for the performance of this estimator are obtained by solving an optimisation problem. Optimal and sub-optimal training sequences are designed from several classes of sequences with ideal autocorrelation and cross correlation properties. Furthermore, the complexity of this channel estimator is reduced considerably by applying the optimal training sequence. The simulation results demonstrate that this channel estimator combined with optimal or sub-optimal sequence can give near single-user channel estimation performance even for fully loaded systems.
Keywords :
cellular radio; channel estimation; code division multiple access; correlation theory; maximum likelihood sequence estimation; multipath channels; optimisation; autocorrelation properties; cross correlation properties; cyclic prefix; multicarrier systems; multipath channel estimator; optimal training sequence design; optimisation; performance lower bound; quasisynchronous CDMA; single-carrier systems; sub-optimal training sequence design; two-dimensional maximum-likelihood channel estimator; Channel estimation; Frequency estimation; Least squares approximation; Maximum likelihood detection; Maximum likelihood estimation; Multiaccess communication; Multipath channels; OFDM; Timing; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-7663-3
Type :
conf
DOI :
10.1109/ICASSP.2003.1202576
Filename :
1202576
Link To Document :
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