Robust adaptive MMSE/DFE multiuser detection in multipath fading channel with impulse noise

The direct-sequence code-division multiple-access (DS/CDMA) technique is extensively used for cellular, personal, and mobile radio communication systems. However, the conventional channel estimators cannot provide accurate channel information for multiuser detection in the presence of impulsive nois...

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Veröffentlicht in:IEEE transactions on signal processing 2005-01, Vol.53 (1), p.306-317
Hauptverfasser: CHEN, Bor-Sen, TSAI, Chang-Lan, HSU, Chia-Sheng
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creator CHEN, Bor-Sen
TSAI, Chang-Lan
HSU, Chia-Sheng
description The direct-sequence code-division multiple-access (DS/CDMA) technique is extensively used for cellular, personal, and mobile radio communication systems. However, the conventional channel estimators cannot provide accurate channel information for multiuser detection in the presence of impulsive noise and Doppler spread, especially in the time-varying fading channel. We propose a linear-trend tracking method for estimating the impulse response of the time-varying channel via a robust Kalman filtering with a scheme that can automatically adjust the variance of the driving noise. The proposed method need not identify the parameters of the channel model and is insensitive to the speed of channel variation. Following channel estimation, a robust multiuser detection algorithm is developed via a Kalman-based decision feedback equalization (DFE). A nonlinear limitation function is incorporated to mitigate the effects of channel estimation error and impulsive noise and to prevent severe error propagation. Simulation results conclude that the performance of the DS/CDMA system is improved by using the proposed receiver.
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However, the conventional channel estimators cannot provide accurate channel information for multiuser detection in the presence of impulsive noise and Doppler spread, especially in the time-varying fading channel. We propose a linear-trend tracking method for estimating the impulse response of the time-varying channel via a robust Kalman filtering with a scheme that can automatically adjust the variance of the driving noise. The proposed method need not identify the parameters of the channel model and is insensitive to the speed of channel variation. Following channel estimation, a robust multiuser detection algorithm is developed via a Kalman-based decision feedback equalization (DFE). A nonlinear limitation function is incorporated to mitigate the effects of channel estimation error and impulsive noise and to prevent severe error propagation. 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However, the conventional channel estimators cannot provide accurate channel information for multiuser detection in the presence of impulsive noise and Doppler spread, especially in the time-varying fading channel. We propose a linear-trend tracking method for estimating the impulse response of the time-varying channel via a robust Kalman filtering with a scheme that can automatically adjust the variance of the driving noise. The proposed method need not identify the parameters of the channel model and is insensitive to the speed of channel variation. Following channel estimation, a robust multiuser detection algorithm is developed via a Kalman-based decision feedback equalization (DFE). A nonlinear limitation function is incorporated to mitigate the effects of channel estimation error and impulsive noise and to prevent severe error propagation. 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subjects Algorithms
Applied sciences
CDMA
Channel estimation
Channels
Code division multiple access
Decision feedback equalizers
Detection, estimation, filtering, equalization, prediction
Errors
Exact sciences and technology
Fading
Filtering
Impulse response
Information, signal and communications theory
Kalman filters
Land mobile radio
linear trend channel model
Mathematical models
Multiaccess communication
Multiuser detection
Multiuser systems
Noise
Noise robustness
robust Kalman filtering
Signal and communications theory
Signal, noise
Studies
Telecommunications and information theory
Time-varying channels
title Robust adaptive MMSE/DFE multiuser detection in multipath fading channel with impulse noise
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