Confidence partitioning sampling filtering

Confidence partitioning sampling filtering

Abstract The confidence partitioning sampling filter (CPSF) method proposed in this paper is a novel approach for solving the generic nonlinear filtering problem. First, the confidence probability space (CPS) is defined, which restricts the state transition in a bounded and closed state space in the...

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Bibliographic Details
Main Authors: Xingzi Qiang, Rui Xue, Yanbo Zhu
Format: Article
Language:English
Published: SpringerOpen 2024-02-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Confidence
Nonlinear filtering
Partitioning integral
Posterior distribution
State estimation
Online Access:https://doi.org/10.1186/s13634-024-01117-3

Internet

https://doi.org/10.1186/s13634-024-01117-3

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