Gamma-Gamma distribution parameter estimation method based on double logarithmic cumulant expectation
A technology of distributed parameters and cumulants, applied in transmission monitoring, electrical components, transmission systems, etc., can solve problems such as poor fitting accuracy in atmospheric turbulence regions, poor shape parameter estimation accuracy, and low estimation accuracy, and reduce computational complexity. , the parameter estimation accuracy is close to the effect of high computational efficiency
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[0028] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
[0029] figure 1 A map of the atmospheric turbulence channel model. The atmospheric turbulence channel model changes with the transformation of the atmospheric turbulence scale coefficient. The Gamma-Gamma distribution contains two scale scintillation coefficients, so it can well fit the actual situation of atmospheric turbulence. refer to figure 2 As shown, the derivation flow chart of the Gamma-Gamma distribution parameter estimator based on double-log cumulant expectation is given. It includes the following steps: first analyze the Gamma-Gamma distribution modeling principle, generate a Gamma-Gamma channel model, then analyze the Mellin transformation principle, apply the Mellin transformation to the Gamma-Gamma distribution, and derive the relationship between the logarithmic cumulant and the shape parameter Finally, through the tra...
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