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

Ali Abdi, Mostafa Kaveh

Research output: Contribution to journalArticlepeer-review

74 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 languageEnglish (US)
Pages (from-to)119-121
Number of pages3
JournalIEEE Communications Letters
Volume4
Issue number4
DOIs
StatePublished - 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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