Adaptive channel estimation algorithm for QS-CDMA signals

被引：0

作者：

Kim, KJ ^{[1
]}

机构：

[1] Nokia Res Ctr, Irving, TX 75039 USA

来源：

CONFERENCE RECORD OF THE THIRTY-FIFTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, VOLS 1 AND 2 | 2001年

关键词：

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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 quasi-stationarity of the channel in two symbol intervals.

引用

页码：1525 / 1529

页数：5

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