Hidden Markov modeling of flat fading channels.

Hidden Markov models (HMMs) are a powerful tool for modeling stochastic random processes. They are general enough to model with high accuracy a large variety of processes and are relatively simple allowing us to compute analytically many important parameters of the process which are very difficult t...

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Veröffentlicht in:	IEEE Journal on selected areas in communications 16, 9 (1998).
1. Verfasser:	Turin, W.
Format:	Artikel
Sprache:	English
Schlagworte:	HMM. Rayleigh fading. Algorithms. Closed-form solutions. Communication channel fading. Complex Gaussian processes. Experimental data. Fade duration. Flat fading channels. Hidden Markov modeling. High accuracy. Level crossings. Probability distribution. Stochastic random processes.