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conference paper
Channel estimation by inference on Gaussian Markov random fields
Riedl, Thomas Johannes
•
Choi, Jun Won
•
Singer, Andrew Carl
2009
Proceedings of the 43rd Annual IEEE Asilomar Conference on Signals, Systems and Computers
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.
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