With the rapid development of control technology and computer technology, nonlinear filtering technique has found wide applications in many areas. The estimation accuracy of classical algorithms such as Kalman filtering and extended Kalman filtering decreases significantly and even appears divergence when applied to optimal estimation for nonlinear and non-Gaussian dynamic system. The particle filtering is a combination of Bayesian estimation theory and Monte Carlo method, which may apply to any nonlinear s...
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