A Low Sample Size Estimator for K Distributed Noise

TitleA Low Sample Size Estimator for K Distributed Noise
Publication TypeJournal Article
Year of Publication2012
AuthorsAlban, E. X., M. E. Magana, and H. Skinner
JournalJournal of Signal and Information Processing
Volume03
Issue03
Pagination293 - 307
Date Published08/2012
ISSN2159-4481
Keywordsestimation, k-distribution, mean square error, moments
Abstract

In this paper, we derive a new method for estimating the parameters of the K-distribution when a limited number of samples are available. The method is based on an approximation of the Bessel function of the second kind that reduces the complexity of the estimation formulas in comparison to those used by the maximum likelihood algorithm. The proposed method has better performance in comparison with existing methods of the same complexity giving a lower mean squared error when the number of samples used for the estimation is relatively low.

DOI10.4236/jsip.2012.33039
Short TitleJSIP