Abstract
Free-space optical communication links experience atmospheric turbulent light intensity fluctuation fading, which requires accurate channel parameter estimation to ensure stable communication. In this paper, the maximum likelihood (ML) method is proposed to estimate composite Gamma–Gamma fading channel parameters. The ML estimation expression based on the expectation maximization (EM) to compute unknown parameters is derived. Newton–Raphson (N–R) and generalized moment method (GMM) are used to compare EM algorithm with the estimation performance. We used the Cramer–Rao Bound (CRB) to evaluate these estimation algorithms. Each estimator’s performance is compared using simulation data as well as experimental measurements under different meteorological conditions. It is found that the proposed technique has better estimation performance for fading parameters of atmospheric turbulence channel.
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