Bayesian turbo multiuser detection for nonlinearly modulated CDMA
Signal Processing
Advanced Signal Processing for Wireless Multimedia Communications
ITCC '00 Proceedings of the The International Conference on Information Technology: Coding and Computing (ITCC'00)
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Signal Processing
A network of Kalman filters for MAI and ISI compensation in a non-Gaussian environment
EURASIP Journal on Applied Signal Processing
Journal of Signal Processing Systems
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IEEE Transactions on Communications
A new M-estimator based robust multiuser detection in flat-fading non-Gaussian channels
IEEE Transactions on Communications
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WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Improved multiuser detection in asynchronous flat-fading non-Gaussian channels
ASID'09 Proceedings of the 3rd international conference on Anti-Counterfeiting, security, and identification in communication
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WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
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IEEE Transactions on Communications
Performance analysis for BICM transmission over Gaussian mixture noise fading channels
IEEE Transactions on Communications
A new robust Kalman filter-based subspace tracking algorithm in an impulsive noise environment
IEEE Transactions on Circuits and Systems II: Express Briefs
Impulse detection and rejection methods for radio systems
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume II
Channel capacity bounds in the presence of quantized channel state information
EURASIP Journal on Wireless Communications and Networking
Robust Channel Estimation Under Impulsive Noise for Multipath Fading CDMA Systems
Wireless Personal Communications: An International Journal
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In many wireless systems where multiuser detection techniques may be applied, the ambient channel noise is known through experimental measurements to be decidedly non-Gaussian, due largely to impulsive phenomena. The performance of many multiuser detectors can degrade substantially in the presence of such impulsive ambient noise. We develop robust multiuser detection techniques for combating multiple-access interference and impulsive noise in CDMA communication systems. These techniques are based on the M-estimation method for robust regression. Analytical and simulation results show that the proposed robust techniques offer significant performance gain over linear multiuser detectors in impulsive noise, with little attendant increase in computational complexity. We also develop a subspace-based technique for blind adaptive implementation of the robust multiuser detectors, which requires only the signature waveform and the timing of the desired user in order to demodulate that user's signal. The robust multiuser detection technique and its blind adaptive version can be applied to both synchronous and asynchronous CDMA channels