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Performance comparison of three different estimators for the Nakagami m parameter using Monte Carlo simulation

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2 Author(s)
Abdi, A. ; Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN, USA ; Kaveh, Mostafa

Nakagami distribution has proven useful for modeling the 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.

Published in:

Communications Letters, IEEE  (Volume:4 ,  Issue: 4 )

Date of Publication:

April 2000

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