DocumentCode
379261
Title
Blind channel and carrier offset estimation in multiuser CDMA
Author
Fu, Hongyi ; Attallah, Samir
Author_Institution
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Volume
1
fYear
2002
fDate
2002
Firstpage
21
Lastpage
25
Abstract
The problem of CDMA multiuser detection in the presence of a small residual carrier is considered in this paper. Subspace-based approaches are employed for channel estimation and signal demodulation. The channel response and carrier offset are estimated separately in order to avoid the computational complexity of joint estimation of two parameters. The simulation results show that the separate estimation approach results in lower BER than a previous subspace-based joint estimation algorithm does for a large range of carrier offsets which are generally considered in practical applications. Adaptive channel estimation in a time-variant channel is also considered. A novel adaptive algorithm for subspace estimation, namely the normalized orthogonal Oja (NOOja) algorithm, is used to track the channel variations with time. The NOOja algorithm is applicable for both signal and noise subspace tracking and offers advantages of better orthogonality and numerical stability than previous tracking algorithms without any significant increase in computational complexity. It is shown that the NOOja algorithm exhibits good tracking performance in a time-variant channel
Keywords
adaptive estimation; code division multiple access; computational complexity; demodulation; multiuser channels; numerical stability; radio tracking; signal detection; spread spectrum communication; time-varying channels; BER; DS-CDMA multiuser detection; NOOja algorithm; adaptive algorithm; adaptive channel estimation; blind channel estimation; carrier offset estimation; channel response; computational complexity; joint parameter estimation; noise subspace tracking; normalized orthogonal Oja algorithm; numerical stability; residual carrier; signal demodulation; signal subspace tracking; simulation results; subspace estimation; subspace-based approach; subspace-based joint estimation algorithm; time-variant channel; tracking algorithms; Adaptive algorithm; Bit error rate; Channel estimation; Computational complexity; Computational modeling; Demodulation; Multiaccess communication; Multiuser detection; Numerical stability; Parameter estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2002. ICC 2002. IEEE International Conference on
Conference_Location
New York, NY
Print_ISBN
0-7803-7400-2
Type
conf
DOI
10.1109/ICC.2002.996809
Filename
996809
Link To Document