Presentation + Paper
2 May 2018 Investigation of the dynamic enhanced cubature Kalman filter
Author Affiliations +
Abstract
In this paper, the dynamic enhanced cubature Kalman filter is proposed to explore the constraint of the long-term relationship of system states. The performance of the proposed dynamic enhanced cubature Kalman filter (DECKF) is compared to the conventional cubature Kalman filter via two numerical examples. The simulation results show that the proposed filter can provide better performance than conventional cubature Kalman filter, for certain scenarios.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bin Jia, Khanh Pham, Erik Blasch, Genshe Chen, and Dan Shen "Investigation of the dynamic enhanced cubature Kalman filter", Proc. SPIE 10641, Sensors and Systems for Space Applications XI, 1064109 (2 May 2018); https://doi.org/10.1117/12.2305203
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Filtering (signal processing)

Nonlinear filtering

Monte Carlo methods

Complex systems

Electronic filtering

Linear filtering

Dynamical systems

Back to Top