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Proceedings Paper

Finite mixture models for ultra-wideband channels
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Paper Abstract

In this paper we estimate finite mixture models (FMM) to describe the statistics of the ultrawideband (UWB) channel amplitudes. Various combinations of Rayleigh, Nakagami, Weibull, and Lognormal distributions are used to form the constituent probability density functions (PDFs) of the FMMs. The FMMs are identified using the Stochastic Expectation Maximization (SEM) algorithm. Akaike's Information Criterion is used to compare the quality of data fit provided by the FMMs and models containing only one distribution (non-mixtures). The results indicate that UWB channel amplitude statistics are best represented by mixtures of Rayleigh, Lognormal and Weibull PDFs.

Paper Details

Date Published: 3 April 2008
PDF: 7 pages
Proc. SPIE 6980, Wireless Sensing and Processing III, 69800Q (3 April 2008); doi: 10.1117/12.793419
Show Author Affiliations
Divya Choudhary, Univ. of Memphis (United States)
Aaron Robinson, Univ. of Memphis (United States)

Published in SPIE Proceedings Vol. 6980:
Wireless Sensing and Processing III
Sohail A. Dianat; Michael D. Zoltowski, Editor(s)

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