Non-Linear Gaussian Smoothing With Taylor Moment Expansion

被引:0
|
作者
Zhao, Zheng [1 ]
Sarkka, Simo [1 ]
机构
[1] Aalto Univ, Dept Elect Engn & Automat, Helsinki 02150, Finland
关键词
Smoothing methods; Mathematical models; Signal processing algorithms; Numerical models; Approximation algorithms; Stochastic processes; Frequency modulation; State-space models; continuous-discrete filtering and smoothing; non-linear filtering and smoothing; stochastic differential equations; Taylor moment expansion; STABILITY; FILTERS;
D O I
10.1109/LSP.2021.3125831
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This letter is concerned with solvingcontinuous-discrete Gaussian smoothing problems by using the Taylor moment expansion (TME) scheme. In the proposed smoothing method, we apply the TME method to approximate the transition density of the stochastic differential equation in the dynamic model. Furthermore, we derive a theoretical error bound (in the mean square sense) of the TME smoothing estimates showing that the smoother is stable under weak assumptions. Numerical experiments show that the proposed smoother outperforms a number of baseline smoothers.
引用
收藏
页码:80 / 84
页数:5
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