Signal processing with alpha-stable distributions and applications
Signal processing with alpha-stable distributions and applications
Multiuser Detection
Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in Noise
Spread Spectrum CDMA Systems for Wireless Communications
Spread Spectrum CDMA Systems for Wireless Communications
A network of adaptive Kalman filters for data channel equalization
IEEE Transactions on Signal Processing
Robust multiuser detection in non-Gaussian channels
IEEE Transactions on Signal Processing
Blind adaptive multiuser detection based on Kalman filtering
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
The Kalman filter as the optimal linear minimum mean-squared error multiuser CDMA detector
IEEE Transactions on Information Theory
An asynchronous multiuser CDMA detector based on the Kalman filter
IEEE Journal on Selected Areas in Communications
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This paper develops a new multiuser detector based on a network of kalman filters (NKF) dealing with multiple-access interference (MAI), intersymbol interference (ISI), and an impulsive observation noise. The two proposed schemes are based on the modeling of the DS-CDMA system by a discrete-time linear system that has non-Gaussian state and measurement noises. By approximating the non-Gaussian densities of the noises by a weighted sum of Gaussian terms and under the common MMSE estimation criterion, we first derive an NKF detector. This version is further optimized by introducing a feedback exploiting the ISI interference structure. The resulting scheme is an NKF detector based on a likelihood ratio test (LRT). Monte-Carlo simulations have shown that the NKF and the NKF based on LRT detectors significantly improve the efficiency and the performance of the classical Kalman algorithm.