Robust Student’s t-Based Stochastic Cubature Filter for Nonlinear Systems With Heavy-Tailed Process and Measurement Noises

Robust Student’s t-Based Stochastic Cubature Filter for Nonlinear Systems With Heavy-Tailed Process and Measurement Noises

In this paper, a new robust Student's t-based stochastic cubature filter (RSTSCF) is proposed for a nonlinear state-space model with heavy-tailed process and measurement noises. The heart of the RSTSCF is a stochastic Student's t-spherical radial cubature rule (SSTSRCR), which is derived b...

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Bibliographic Details
Main Authors: Yulong Huang, Yonggang Zhang
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Nonlinear filter
heavy-tailed noise
student’s t distribution
student’s t weighted integral
outlier
nonlinear system
Online Access:https://ieeexplore.ieee.org/document/7922566/

Internet

https://ieeexplore.ieee.org/document/7922566/

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