Adaptive channel estimation algorithm for QS-CDMA signals

Author

Kim, Kyeong Jin

Author_Institution

Nokia Res. Center, Irving, TX, USA

Volume

2

fYear

2001

fDate

4-7 Nov. 2001

Firstpage

1525

Abstract

In this paper, we consider an adaptive channel estimator for quasi-synchronous CDMA (QS-CDMA) systems, where mobiles synchronize their transmission to a common GPS-generated clock. An extended Kalman filter (EKF) is employed to track user delays and channel coefficients. QR decomposition with the M-algorithm (QRD-M) is proposed for data detection. However, due to the EKF, the computational complexity is still high. To minimize this computational complexity, we employ an adaptive channel estimator for QS-CDMA signals, where the EKF is adaptively applied depending on the quasistationarity of the channel in two symbol intervals.

Keywords

Kalman filters; adaptive estimation; adaptive signal detection; code division multiple access; computational complexity; mobile radio; multiuser channels; spread spectrum communication; EKF; GPS-generated clock; M-algorithm; QR decomposition; QRD-M; QS-CDMA signals; adaptive channel estimation algorithm; channel coefficient tracking; channel quasi-stationarity; computational complexity; data detection; extended Kalman filter; mobile radio; quasi-synchronous CDMA systems; symbol intervals; transmission synchronization; user delay tracking; Bit error rate; Channel estimation; Computational complexity; Delay; Multiaccess communication; Multiuser detection; Spread spectrum communication; Statistical analysis; Statistical distributions; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-7147-X

Type

conf

DOI

10.1109/ACSSC.2001.987742

Filename

987742