Hidden Markov modeling of flat fading channels
| Autor: | R. van Nobelen, W. Turin |
|---|---|
| Rok vydání: | 1998 |
| Předmět: |
Computer Networks and Communications
Stochastic process Estimation theory Computer science business.industry Pattern recognition Complex normal distribution symbols.namesake symbols Probability distribution Fading Artificial intelligence Electrical and Electronic Engineering Hidden Markov model business Gaussian process Algorithm Rayleigh fading |
| Zdroj: | IEEE Journal on Selected Areas in Communications. 16:1809-1817 |
| ISSN: | 0733-8716 |
| DOI: | 10.1109/49.737649 |
| Popis: | 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 to calculate for other models (such as complex Gaussian processes). Another advantage of using HMMs is the existence of powerful algorithms for fitting them to experimental data and approximating other processes. In this paper, we demonstrate that communication channel fading can be accurately modeled by HMMs, and we find closed-form solutions for the probability distribution of fade duration and the number of level crossings. |
| Databáze: | OpenAIRE |
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