Discretization of Dynamic Model and Process Noise in Ballistic Object Filtering
In this paper, we consider the discretization of the continuous-time dynamic model and process noise that occurs in ballistic object filtering problems. Our analysis shows that existing discretization methods are ad hoc in nature. We apply the 1.5 order Ito-Taylor approximation to these discretization problems. We specifically study the ballistic projectile filtering problem and derive equations for the discretized dynamic model and process noise. Our results are compared with those from existing algorithms.
Authors
- Xiaoqing Tian (ORCID: https://orcid.org/0000-0002-0789-2422)
- Mahendra Mallick (ORCID: https://orcid.org/0000-0002-4836-4431)
- Linfeng Xu
Institutions
- Xi'an University of Science and Technology (CN)
- Northwestern Polytechnical University (CN)
Publication Details
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1109/iccais63750.2024.10814233
- Primary Topic
- Neural Networks and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00