On the estimation of the K parameter for the rice fading distribution

Ali Abdi, Cihan Tepedelenlioglu, Mostafa Kaveh, Georgios Giannakis

Research output: Contribution to journalArticlepeer-review

261 Scopus citations


In this letter we study the statistical performance of two moment-based estimators for the K parameter of Rice fading distribution, as less complex alternatives to the maximum-likelihood estimator. Our asymptotic analysis reveals that both estimators are nearly asymptotically efficient, and that there is a compromise between the computational simplicity and the statistical efficiency of these two estimators. We also show, by Monte Carlo simulation, that the fading correlation among the envelope samples deteriorates the performance of both estimators. However, the simpler estimator, which employs the second and the fourth moments of the signal envelope, appears to be more suitable for real-world applications.

Original languageEnglish (US)
Pages (from-to)92-94
Number of pages3
JournalIEEE Communications Letters
Issue number3
StatePublished - Mar 2001
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering


  • Asymptotic analysis
  • Fading channels
  • Maximum likelihood
  • Method of moments
  • Monte Carlo simulation
  • Parameter estimation
  • Rice distribution


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