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Generalized Method of Moments Estimation of the Nakagami-m Fading Parameter

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3 Author(s)
Ning Wang ; Sch. of Eng., Univ. of British Columbia, Kelowna, BC, Canada ; Xuegui Song ; Cheng, J.

The generalized method of moments (GMM) is introduced in the framework of estimating the Nakagami-m fading parameter. This GMM approach provides a systematic procedure for finding the moment-based m parameter estimators. Using the multivariate delta method, we present a derivation for the asymptotic variance of the GMM Nakagami m parameter estimators. Monte Carlo simulation results show that the GMM approach can lead to estimators outperforming existing moment-based m parameter estimators over a wide range of channel conditions. It is shown that the asymptotic performance of these GMM estimators are close to that of the maximum-likelihood based estimator. The proposed method can be easily applied to both noiseless and noisy environments.

Published in:

Wireless Communications, IEEE Transactions on  (Volume:11 ,  Issue: 9 )