DocumentCode
3159027
Title
Phase estimation by message passing
Author
Dauwels, Justin ; Loeliger, Hans-Andrea
Author_Institution
Dept. of Inf. Technol. & Electr. Eng., ETH, Zurich, Switzerland
Volume
1
fYear
2004
fDate
20-24 June 2004
Firstpage
523
Abstract
The problem of phase estimation in a "turbo receiver" is considered for two different channel models. Several message passing algorithms for phase estimation are derived from the factor graph of the channel models: (1) straight sum-product, applied to a quantized phase model; (2) LMS-type gradient methods; (3) a particle filter. All considered algorithms are suitable for use in a "turbo receiver" with joint iterative decoding and phase estimation.
Keywords
channel estimation; filtering theory; gradient methods; graph theory; iterative decoding; least mean squares methods; message passing; parity check codes; phase estimation; turbo codes; LMS-type gradient method; channel model; factor graph; joint iterative decoding; least mean square; message passing algorithm; particle filter; phase estimation; quantized phase model; straight sum-product; turbo receiver; Gaussian noise; Gradient methods; Information technology; Iterative algorithms; Iterative decoding; Message passing; Parity check codes; Particle filters; Phase estimation; Protection;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2004 IEEE International Conference on
Print_ISBN
0-7803-8533-0
Type
conf
DOI
10.1109/ICC.2004.1312544
Filename
1312544
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