Title: Adaptive near-optimal multiuser detection using a stochastic and hysteretic Hopfield net receiver
Authors: Jeney, G ×
Levendovszky, Janos
Pap, L
van der Meulen, Edward #
Issue Date: Dec-2002
Publisher: Hindawi Publishing Corp.
Series Title: EURASIP Journal on Applied Signal Processing vol:2002 issue:12 pages:1401-1414
Abstract: This paper proposes a novel adaptive MUD algorithm for a wide variety (practically any kind) of interference limited systems, for example, code division multiple access (CDMA). The algorithm is based on recently developed neural network techniques and can perform near optimal detection in the case of unknown channel characteristics. The proposed algorithm consists of two main blocks: one estimates the symbols sent by the transmitters and the other identifies each channel of the corresponding communication links. The estimation of symbols is carried out either by a stochastic Hopfield net (SHN), by a hysteretic neural network (HyNN) or by both. The channel identification is based on either the self-organizing feature map (SOM) or the learning vector quantization (LVQ). The combination of these two blocks yields a powerful real-time detector with near optimal performance. The performance is analyzed by extensive simulations.
ISSN: 1110-8657
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Statistics Section
Mathematics - miscellaneous
× corresponding author
# (joint) last author

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