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This paper introduces an adaptive Radial Basis Function (RBF) method using weighted improvement for the global optimization of black-box problems subject to box constraints. The proposed method applies rank-one update to efficiently build RBF models and derives a closed form for the leave-one-out cross validation (LOOCV) error of RBF models, allowing an adaptive choice of radial basis functions. In...
Simulation is widely used to evaluate the performance and optimize the design of a complex system. In the past few decades, a great deal of research has been devoted to solving simulation optimization problems, perhaps owing to their generality. However, although there are many problems of practical interests that can be cast in the framework of simulation optimization, it is often difficult to obtain...
In this paper, we propose an efficient ranging technique using chirp signal, which employs a matrix pencil method to estimate time of arrival (TOA). The proposed TOA estimation method consists of a two-step signal processing: minimum mean square error (MMSE)-based channel impulse response estimation and the channel delay tracking by matrix pencil algorithm. At the first step, the transmitted known...
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