The Performace of SSLS and MMSE Estimators on TheNakagami-m Fading MIMO Channels
Publish place: 12th National Conference on Electrical Engineering
Publish Year: 1402
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
NCEEM12_001
تاریخ نمایه سازی: 30 آبان 1402
Abstract:
Nakagami-m fading multiple-input multiple-output (MIMO) channel estimation is an important challenge. It is almostimpossible to provide the probability density function (pdf) for a Nakagami distribution random vector, especially, withcorrelated elements, and closed-form classical and/or Bayesian estimators for a linear MIMO model. Fortunately, thereis a relationship between the Rice factor and the Nakagami shape parameter, and it has been numerically studied in thispaper. The performance of shifted scaled least squares (SSLS) and minimum mean square error (MMSE) channelestimators is investigated in MIMO Nakagami-m frequency-flat fading channels using the mentioned relationship. It isshown that the performance of both SSLS and MMSE estimators improves when the Nakagami shape parameterincreases. Also, it is seen that the MMSE estimator outperforms the other one, especially, in the case of high correlation.Numerical results confirm that the proposed estimators are appropriate method for Nakagami-m fading MIMO channelestimation.
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Authors
Hamid Nooralizadeh
Department of Electrical Engineering, Islamshahr Branch, Islamic Azad University, Islamshahr, Iran