TY - GEN
T1 - Linear detection via belief propagation
AU - Bickson, Danny
AU - Dolev, Danny
AU - Shenta, Ori
AU - Siegel, Paul H.
AU - Wolf, Jack K.
PY - 2007
Y1 - 2007
N2 - In this paper , the paradigm of linear detection is reformulated as a Gaussian belief propagation (GaBP) scheme , without resorting to direct matrix inversion. The derived Iterative framework allows for a distributed message-passing implementa-tion of this Important class of sub-optimal tractable estimators. The properties of GaBP-based linear detection are addressed , while its faster convergence , in comparison with conventional Iterative solution methods , Is demonstrated experimentally.
AB - In this paper , the paradigm of linear detection is reformulated as a Gaussian belief propagation (GaBP) scheme , without resorting to direct matrix inversion. The derived Iterative framework allows for a distributed message-passing implementa-tion of this Important class of sub-optimal tractable estimators. The properties of GaBP-based linear detection are addressed , while its faster convergence , in comparison with conventional Iterative solution methods , Is demonstrated experimentally.
UR - http://www.scopus.com/inward/record.url?scp=84940660844&partnerID=8YFLogxK
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AN - SCOPUS:84940660844
T3 - 45th Annual Allerton Conference on Communication, Control, and Computing 2007
SP - 1207
EP - 1213
BT - 45th Annual Allerton Conference on Communication, Control, and Computing 2007
PB - University of Illinois at Urbana-Champaign, Coordinated Science Laboratory and Department of Computer and Electrical Engineering
T2 - 45th Annual Allerton Conference on Communication, Control, and Computing 2007
Y2 - 26 September 2007 through 28 September 2007
ER -