A low-complexity contextual Hebbian detector for blind multiuser detection

Kim-Hui Yap, Ling Guan, Hau-San Wong

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

This paper proposes a blind multiuser detector for CDMA systems based on a contextual Hebbian paradigm. Conventional blind detectors employ second-order statistics in their formulation, leading to first-order filter update procedure. These approaches restrict the convergence rate and tracking capability of the detectors. Hebbian learning has shown potential in handling blind source separation problems. Nevertheless, it experiences order ambiguity of the extracted sources. This often leads to undesirable local convergence and consequently erroneous symbol demodulation. This paper presents a new contextual Hebbian paradigm that encapsulates domain information of the multiple-access interference to achieve blind detection. An adaptive detector is developed to address the issues of source indeterminacy and slow convergence. Experimental results show that the detector provides good performance in terms of fast convergence rate, optimal steady-state SINR profile, and low BER when compared with other detectors.
Original languageEnglish
Title of host publicationICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age
PublisherIEEE
Pages2185-2189
Volume5
ISBN (Print)9810475241, 9789810475246
DOIs
Publication statusPublished - 2002
Event9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore
Duration: 18 Nov 200222 Nov 2002

Publication series

Name
Volume5

Conference

Conference9th International Conference on Neural Information Processing, ICONIP 2002
Country/TerritorySingapore
CitySingapore
Period18/11/0222/11/02

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