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The particle filter (PF) is an effective technique for state estimation in the nonlinear and non-Gaussian systems. However, one serious problem of PF is resampling. In this study, a weights PF (WPF) is proposed to mitigate the particle impoverishment problem common in PF. The WPF is inspired by the selection operator of genetic algorithm (GA). The weights of WPF are divided into two parts, and the...
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