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Summary: Page 1 of 10
On the estimation of the K parameter for the Rice fading distribution
Ali Abdi, Student Member, IEEE, Cihan Tepedelenlioglu, Student Member, IEEE,
Mostafa Kaveh, Fellow, IEEE, and Georgios Giannakis, Fellow, IEEE
Dept. of Elec. and Comp. Eng., University of Minnesota
ABSTRACT
In this paper 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.
EDICS number: CL1.2.0 Wireless Techniques and Fading
Point of Contact: Ali Abdi
Dept. of Elec. and Comp. Eng., University of Minnesota
4-174 EE/CSci Bldg., 200 Union St SE
Minneapolis, MN 55455, USA
Phone: (612) 626 0898
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