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A hybrid strategy for Gilbert' s channel characterization using gradient and annealing techniques
1998
International Journal of Systems Science
This paper presents a hybrid algorithm for estimating Gilbert's channel model parameters from an experimental error-gap distribution. A stochastic simulated annealing algorithm is applied to determine automatically a set ofgood starting points, which are then used by the deterministic gradient algorithm for faster convergence to the global optimum. Simulation results indicate that, for channel characterization. this hybrid strategy provides an ideal compromise between modelling accuracy and convergence time.
doi:10.1080/00207729808929549
fatcat:iwsvlevsyvdqbow3pxar6wuisu