Channel estimation by inference on Gaussian Markov random fields

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.


Published in:
Proceedings of the 43rd Annual IEEE Asilomar Conference on Signals, Systems and Computers
Presented at:
IEEE Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, November, 2009
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 Record created 2010-01-07, last modified 2018-03-17

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