Use of Hidden Markov Model Technique to Characterize and Classify the Wideband Mobile Radio Channel in Different Environments

Abstract

Abstract Mobile radio channel and its effects on the radio link path place fundamental limitations on the performance of wireless communication systems. This paper sets out a new approach for wideband modeling of mobile radio channels to classify distinct environments. It applies the hidden Markov model technique to different data sets of the main temporal dispersion parameters of the mobile radio channel: average delay and delay spread. The applied technique has proven to design properly the transitions among those temporal dispersion parameters, mapping statistically the transitions from one point in space to another, and it has revealed to be a feasible option to classify and describe statistically the wideband radio channel in each propagation medium.

Keywords

• Hidden Markov model
• mobile radio channel
• time dispersion parameters
• swept-frequency technique