Online modeling of wireless channels with hidden Markov models and channel impulse responses for cognitive radios
Rondeau, T.W.; Rieser, C.J.; Gallagher, T.M.; Bostian, C.W.
Microwave Symposium Digest, 2004 IEEE MTT-S International
Volume 2, Issue , 6-11 June 2004 Page(s): 739 - 742 Vol.2
Digital Object Identifier   10.1109/MWSYM.2004.1339066
Summary: A cognitive radio must be able to observe and model the channel in which it operates. As a first step to creating a truly cognitive radio, we have developed a novel technique to model wireless channels by combining a broadband channel sounder with a wireless channel genetic algorithm (WCGA). The WCGA receives a sequence of error symbols simulated from the impulse response to train a hidden Markov model (HMM) with a genetic algorithm. The HMM is a compact representation of the channel that a radio can create online and then use as the input to a cognitive process for intelligent adaptation of the radio.

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