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The real sea-clutter data are always hard to analyze due to their instinct complexity, large scale non-stationary, and lack of fundamental understanding of the natural dynamics. Measurable modeling of sea clutter is an important precondition in many research areas and practical applications, such as salvage and marine radar signal processing. However, few works have been down on the time-frequency...
In this paper, a novel parameter estimation algorithm is provided for generalized k-distributed clutter model based on the parameter decoupling technology. This estimation algorithm converts a 4-D nonlinear optimization problem into a 1-D optimization problem, which can not only improve the estimation performance, but also reduce the calculation burden and the number of necessary clutter samples....
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