Title :
Channel estimation by inference on Gaussian Markov random fields
Author :
Riedl, Thomas J. ; Choi, Jun Won ; Singer, Andrew C.
Author_Institution :
Univ. of Illinois at Urbana-ChampaignUrbana, Urbana, IL, USA
Abstract :
In this paper, we discuss a novel method for channel estimation. The approach is based on the idea of modeling the complex channel gains by a Markov random field. This graphical model is used to capture the statistical dependencies between consecutive taps in time and delay. The sum-product algorithm is finally employed to infer a MAP channel estimate from given observations.
Keywords :
Gaussian processes; Markov processes; channel estimation; delays; random processes; Gaussian Markov random fields; MAP; channel estimation; delay; graphical model; sum-product algorithm; time; Channel estimation; Delay effects; Delay estimation; Gaussian noise; Graphical models; Markov random fields; Nonlinear filters; Random processes; Sum product algorithm; Underwater acoustics; Markov random field; channel estimation; channel modeling; gaussian message passing;
Conference_Titel :
Signals, Systems and Computers, 2009 Conference Record of the Forty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4244-5825-7
DOI :
10.1109/ACSSC.2009.5470038
