TY - GEN
T1 - A low-complexity contextual Hebbian detector for blind multiuser detection
AU - Yap, Kim-Hui
AU - Guan, Ling
AU - Wong, Hau-San
PY - 2002
Y1 - 2002
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84971613916&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84971613916&origin=recordpage
U2 - 10.1109/ICONIP.2002.1201880
DO - 10.1109/ICONIP.2002.1201880
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9810475241
SN - 9789810475246
VL - 5
SP - 2185
EP - 2189
BT - ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age
PB - IEEE
T2 - 9th International Conference on Neural Information Processing, ICONIP 2002
Y2 - 18 November 2002 through 22 November 2002
ER -