DocumentCode :
423281
Title :
A robust channel estimator for DS-CDMA systems under multipath fading channels
Author :
Chengtao Cao ; Lihua Xie ; Shoulie Xie ; Huanshui Zhang
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Volume :
4
fYear :
2004
fDate :
29 Nov.-3 Dec. 2004
Firstpage :
2525
Abstract :
The paper addresses the problem of channel estimation for DS-CDMA systems undergoing time-varying multipath fading channels. The multipath fading channels are modeled as AR models. Based on the minimum mean square error (MMSE) criterion, the linear optimal estimator is obtained by a spectral factorization and a Diophantine polynomial matrix equation. The uncertainty of the channel model is taken into consideration to improve the robustness of the estimator. Compared with the Kalman estimator, the proposed algorithm has O(K2) computational complexity, where K is the number of users. The simulation results show that the proposed estimator provides good estimation performance and robustness for fast fading channels.
Keywords :
autoregressive processes; cellular radio; channel estimation; code division multiple access; computational complexity; fading channels; least mean squares methods; multipath channels; polynomial matrices; spread spectrum communication; time-varying channels; AR models; DS-CDMA systems; Diophantine equation; Diophantine polynomial matrix equation; Kalman estimator; MMSE criterion; cellular mobile communication; computational complexity; fast fading channels; minimum mean square error criterion; multipath channels; multipath fading channels; robust channel estimator; time-varying channels; Channel estimation; Equations; Fading; Kalman filters; Mean square error methods; Multiaccess communication; Polynomials; Robustness; Time varying systems; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE
Print_ISBN :
0-7803-8794-5
Type :
conf
DOI :
10.1109/GLOCOM.2004.1378461
Filename :
1378461
Link To Document :
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