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Multisensor Distributed Dynamic Programming Method for Collaborative Warning and Tracking
Joint Authors
Song, Yafei
Ni, Peng
Zhang, Bo
Zhang, Mingliang
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-15
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
Multisensor distributed dynamic programming for collaborative warning and tracking during antimissile combat serves to meet the tracking accuracy requirements of all ballistic targets in the battlefield under the circumstance of a limited total amount of sensor resources.
This paper proposes a method of multisensor distributed dynamic programming for collaborative warning and tracking based on game theory.
First, starting from the target tracking algorithm, according to the characteristics of antimissile multisensor combat planning, the box particle filter (BPF) theory capable of distributed filtering and inaccurate measurement is introduced.
Using the flight phase characteristics of ballistic targets, a variable structure adaptive multimodel box-based particle filter tracking method is constructed.
A box particle filter with the variable structure adaptive interacting multiple model (VSAIMM-BPF) is proposed.
The method solves the continuous real-time tracking problem of the ballistic target in all the phases and achieves high tracking accuracy while reducing computational complexity.
Then, the motion state of each ballistic target in combat is recursively evaluated by the filtering algorithm, and the calculated sensor information gain is used as a measure to obtain more or better sensor resources for the community of interest to track the corresponding ballistic target through the game.
Ultimately, the method achieves distributed dynamic programming.
American Psychological Association (APA)
Ni, Peng& Zhang, Bo& Song, Yafei& Zhang, Mingliang. 2020. Multisensor Distributed Dynamic Programming Method for Collaborative Warning and Tracking. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1194051
Modern Language Association (MLA)
Ni, Peng…[et al.]. Multisensor Distributed Dynamic Programming Method for Collaborative Warning and Tracking. Mathematical Problems in Engineering No. 2020 (2020), pp.1-19.
https://search.emarefa.net/detail/BIM-1194051
American Medical Association (AMA)
Ni, Peng& Zhang, Bo& Song, Yafei& Zhang, Mingliang. Multisensor Distributed Dynamic Programming Method for Collaborative Warning and Tracking. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1194051
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194051