SparseWiener Chaos Approzimations of Zakai Equation for Nonlinear Filtering
Sparse Wiener Chaos approximations of Zakai equation is considered. The objective is to optimize an approach to nonlinear filtering based on the Cameron-Martin version ofWiener Chaos Expansion(WCE). The error of the approximation is obtained. The main feature ofWiener chaos expansion is that it allows one to separate the computations involving the observations from those dealing only with the system parameters and to shift the latter off-line. The sparse truncation can reduce the number of the WCE coefficients dramatically while keeping the same asymptotic convergence rate as the simple truncation.
Nonlinear Filtering Zakai Equation Wiener Chaos Simple Truncation Sparse Truncation
Jian Xu Jianxun Li
Department of Automation, Shanghai Jiao Tong University, Shanghai, China 200240
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
855-858
2009-06-17(万方平台首次上网日期,不代表论文的发表时间)