Minimum probability of error for asynchronous Gaussian multiple-access channels
IEEE Transactions on Information Theory
Multiuser Detection
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
New results for probability of error performance in MMSE multiuser detection for CDMA
Digital Signal Processing
Adaptive Multiuser Channel Estimation using Reduced Kalman/LMS Algorithm
Wireless Personal Communications: An International Journal
A robust adaptive DFE receiver for DS-CDMA systems under multipathfading channels
IEEE Transactions on Signal Processing
Robust adaptive MMSE/DFE multiuser detection in multipath fading channel with impulse noise
IEEE Transactions on Signal Processing
Tracking of time-varying channels using two-step LMS-type adaptive algorithm
IEEE Transactions on Signal Processing
Prediction in LMS-type adaptive algorithms for smoothly timevarying environments
IEEE Transactions on Signal Processing
Blind multiuser channel estimation in asynchronous CDMA systems
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Optimal decorrelating receivers for DS-CDMA systems: a signalprocessing framework
IEEE Transactions on Signal Processing
Probability of error in MMSE multiuser detection
IEEE Transactions on Information Theory
Blind adaptive multiuser detection
IEEE Transactions on Information Theory
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This paper presents an adaptive decision feedback equalizer (DFE) based multiuser receiver for code division multiple access (CDMA) systems over smoothly time-varying multipath fading channels using the two-step LMS-type algorithm. The frequency-selective fading channel is modeled as a tapped-delay-line filter with smoothly time-varying Rayleigh-distributed tap coefficients. The receiver uses an adaptive minimum mean square error (MMSE) multiuser channel estimator based on the reduced Kalman least mean square (RK-LMS) algorithm to predict these tap coefficients (Kohli and Mehra, Wireless Personal Communication 46:507---521, 2008). We propose the design of adaptive MMSE feedforward and feedback filters by using the estimated channel response. Unlike the previously available Kalman filtering algorithm based approach (Chen and Chen, IEEE Transactions on Signal Processing 49:1523---1532, 2001), the incorporation of RK-LMS algorithm reduces the computational complexity of multiuser receiver. The computer simulation results are presented to show the substantial improvement in its bit error rate performance over the conventional LMS algorithm based receiver. It can be inferred that the proposed multiuser receiver proves to be robust against the nonstationarity introduced due to channel variations, and it is also beneficial for the multiuser interference cancellation and data detection in CDMA systems.