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In this paper, we address the problem of semi-blind parameter estimation of linear systems driven by chaotic signal. We propose an on-line expectation maximization (EM) based extended fixed-lag Kalman smoothing (EM-EFLKS) estimator to simultaneously estimate parameters of system along with the chaotic signal. The performance of the proposed estimator is compared to its offline counterpart, EM-EKS...
Ultra-wideband(UWB) radio has gained a major breakthrough in wireless communications. However, the sampling is a huge obstacle to it. Applying compressed sensing(CS) principle which can recover a sparse signal from less measurement to UWB communication has been a hot topic for many years. This paper shows two methods to construct the CS model for UWB communication, jointing the signal reconstruction...
Vehicle routing problem (VRP) is a well-known combinatorial optimization and nonlinear programming problem seeking to service a number of customers with a fleet of vehicles. This paper proposes a hybrid particle swarm optimization (HPSO) algorithm for VRP. The proposed algorithm utilizes the crossover operation that originally appears in genetic algorithm (GA) to make its manipulation more readily...
Grey system theory can effectively deal with incomplete and uncertain information. The grey model (GM) is the core of grey system theory, which collects available data to obtain internal regularity without using any assumptions. To further improve the precision of the prediction, this paper proposes an optimized GM(1,1) (OGM), which improves traditional GM(1,1) in two aspects: one is to improve the...
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