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 1 2000

Keywords

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

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