Maximum likelihood estimate of parameters of Nakagami-m distribution

Name: Maximum likelihood estimate of parameters of Nakagami-m distribution
Author: Mitra, Rangeet, Mishra, A. K., Choubisa, T.

İsim	Maximum likelihood estimate of parameters of Nakagami-m distribution
Yazar	Mitra, Rangeet, Mishra, A. K., Choubisa, T.
Basım Tarihi:	2012
Basım Yeri	- IEEE
Konu	Nakagami channels, Higher order statistics, Maximum likelihood estimation, Statistical distributions
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-1-4673-4699-3
Kayıt Numarası	ceb68754-b518-4ee6-b5a9-bc60d1beee03
Tarih	2012
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	Nakagami-m distribution is well known for its ability to model a number of probability density functions, be it symmetric or asymmetric. Many Maximum Likelihood parameter estimation techniques for this distribution have been proposed that use estimated higher order moments of the data. However, the required large amount of data may not always be available. This is a drawback of using moments based approaches. In this work we propose a Maximum Likelihood parameter estimation technique for Nakagami-m distribution by giving a closed form expression for it. We demonstrate the performance of the proposed approach using certain test cases and compare the same to conventional algorithms using moments. We show that the new algorithm can model those pdfs better which may be deviating slightly/morderately from Gaussian shape and hence alleviating the need for extra mixture components.
DOI	10.1109/CODIS.2012.6422123

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Maximum likelihood estimate of parameters of Nakagami-m distribution

Yazar Mitra, Rangeet, Mishra, A. K., Choubisa, T.

Basım Tarihi 2012

Basım Yeri - IEEE

Konu Nakagami channels, Higher order statistics, Maximum likelihood estimation, Statistical distributions

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-1-4673-4699-3

Kayıt Numarası ceb68754-b518-4ee6-b5a9-bc60d1beee03

Tarih 2012

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin Nakagami-m distribution is well known for its ability to model a number of probability density functions, be it symmetric or asymmetric. Many Maximum Likelihood parameter estimation techniques for this distribution have been proposed that use estimated higher order moments of the data. However, the required large amount of data may not always be available. This is a drawback of using moments based approaches. In this work we propose a Maximum Likelihood parameter estimation technique for Nakagami-m distribution by giving a closed form expression for it. We demonstrate the performance of the proposed approach using certain test cases and compare the same to conventional algorithms using moments. We show that the new algorithm can model those pdfs better which may be deviating slightly/morderately from Gaussian shape and hence alleviating the need for extra mixture components.

DOI 10.1109/CODIS.2012.6422123