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Maximum likelihood estimation of statistical properties of composite gamma-lognormal fading channels

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2 Author(s)
A. Dogandzic ; ECpE Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA ; Jinghua Jin

We propose maximum likelihood (ML) methods for estimating the parameters of composite gamma-lognormal fading channels. Newton-Raphson and expectation-maximization (EM) algorithms are developed to compute the ML estimates of the mean and variance of the shadowing component, and the Nakagami-m parameter of the fading component. We also derive Crame´r-Rao bounds (CRBs) for the unknown parameters. Numerical simulations demonstrate the performance of the proposed method.

Published in:

IEEE Transactions on Signal Processing  (Volume:52 ,  Issue: 10 )