Performance Comparison of Three Different Estimators for the Nakagami m Parameter Using Monte Carlo Simulation

Ali Abdi; Mostafa Kaveh

doi:10.1109/4234.841316

Performance Comparison of Three Different Estimators for the Nakagami m Parameter Using Monte Carlo Simulation

Ali Abdi, Mostafa Kaveh

Administration (CSENG)

Research output: Contribution to journal › Article › peer-review

85 Scopus citations

Abstract

Nakagami distribution has proven useful for modeling multipath faded envelope in wireless channels. The shape parameter of the Nakagami distribution, known as the m parameter, can be estimated in different ways. In this contribution, the performance of the inverse normalized variance, Tolparev-Polyakov, and the Lorenz estimators have been compared through Monte Carlo simulation, and it has been observed that the inverse normalized variance estimator is superior to the others over a broad range of m values.

Original language	English (US)
Pages (from-to)	119-121
Number of pages	3
Journal	IEEE Communications Letters
Volume	4
Issue number	4
DOIs	https://doi.org/10.1109/4234.841316
State	Published - Apr 2000

Bibliographical note

Funding Information:
Manuscript received August 9, 1999. The associate editor coordinating the review of this letter and approving it for publication was Prof. N. C. Beaulieu. This work has been supported in part by the National Science Foundation under the Wireless Initiative Program, Grant 9979443.

Keywords

Fading channels
Monte Carlo simulation
Multipath fading
Nakagami distribution
Parameter estimation
Wireless channels

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10.1109/4234.841316

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abstract = "Nakagami distribution has proven useful for modeling multipath faded envelope in wireless channels. The shape parameter of the Nakagami distribution, known as the m parameter, can be estimated in different ways. In this contribution, the performance of the inverse normalized variance, Tolparev-Polyakov, and the Lorenz estimators have been compared through Monte Carlo simulation, and it has been observed that the inverse normalized variance estimator is superior to the others over a broad range of m values.",

keywords = "Fading channels, Monte Carlo simulation, Multipath fading, Nakagami distribution, Parameter estimation, Wireless channels",

author = "Ali Abdi and Mostafa Kaveh",

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AB - Nakagami distribution has proven useful for modeling multipath faded envelope in wireless channels. The shape parameter of the Nakagami distribution, known as the m parameter, can be estimated in different ways. In this contribution, the performance of the inverse normalized variance, Tolparev-Polyakov, and the Lorenz estimators have been compared through Monte Carlo simulation, and it has been observed that the inverse normalized variance estimator is superior to the others over a broad range of m values.

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KW - Multipath fading

KW - Nakagami distribution

KW - Parameter estimation

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Performance Comparison of Three Different Estimators for the Nakagami m Parameter Using Monte Carlo Simulation

Abstract

Bibliographical note

Keywords

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