Nonlinear subspace blind adaptive multiuser detection in non-Gaussian channel using Kalman filter

H. Zhou*, W. L. Woo, B. S. Sharif, O. R. Hinton

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Blind adaptive detection of spread spectrum signals in a DS-CDMA system in the presence of impulsive noise is considered. In the various detection schemes to mitigate multiple access interference (MAI), the blind adaptive approaches have advantages over non-blind ones with respect that they only need information of the desired user thus are more suitable for downlink implementation. Many previous detectors were based on the assumption that the channel noise was Gaussian. But many practical environments demonstrate non-Gaussian statistics that severely impair the performance of conventional linear detectors. In this paper a new detection structure is proposed that has a nonlinear pre-processing stage to mitigate the impulsive noise followed by a subspace Kalman filter to mitigate the MAI. Promising simulation results have been obtained which show that the new scheme has substantially improved robustness in impulsive noise channel than the linear detectors; while in the case of Gaussian noise channel, they are comparable.

Original languageEnglish
Title of host publicationIEE Colloquium on DSP Enabled Radio
ISBN (Print)9781849193207
Publication statusPublished - 1 Dec 2003
EventIEE Colloquium on DSP Enabled Radio - , United Kingdom
Duration: 22 Sept 200323 Sept 2003


ConferenceIEE Colloquium on DSP Enabled Radio
Country/TerritoryUnited Kingdom


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