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Updated: Feb 4, 2026

Method for Measurement of Viral Fusion Kinetics at the Single Particle Level
Published on: September 7, 2009
Weighted Measurement Fusion Particle Filter for Nonlinear Systems with Correlated Noises
Ke Wei Zhang1, Gang Hao2, Shu Li Sun3
1School of Electronic Engineering, Heilongjiang University, Harbin 150080, China. m18845031131@163.com.
Abstract:
The multi-sensor information fusion particle filter (PF) has been put forward for nonlinear systems with correlated noises. The proposed algorithm uses the Taylor series expansion method, which makes the nonlinear measurement functions have a linear relationship by the intermediary function. A weighted measurement fusion PF (WMF-PF) was put forward for systems with correlated noises by applying the full rank decomposition and the weighted least square theory. Compared with the augmented optimal centralized fusion particle filter (CF-PF), it could greatly reduce the amount of calculation. Moreover, it showed asymptotic optimality as the Taylor series expansion increased. The simulation examples illustrate the effectiveness and correctness of the proposed algorithm.
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