Hierarchical Task and Power Coalition Game of Radars for Maneuvering Target Tracking in Self-Defensive Suppressive Jamming

Conventional optimization methods have been presented to solve the cooperative target tracking problem of radars without considering the task preference and the resource cost of the individual radar simultaneously, thus leading to robustness deficiency and performance degradation in dynamic jamming...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology 2024-09, p.1-15
Main Authors: Xiong, Kui, Cui, Guolong, Liao, Maosen, Li, Shilong, Kong, Lingjiang
Format: Article
Language:English
Subjects:
coalition game
Games
Jamming
maneuvering target tracking
multiagent system
power allocation
Radar
Radar antennas
Radar cross-sections
Radar network
Radar signal processing
Radar tracking
Resource management
self-defensive suppressive jamming
Sensors
Target tracking
task assignment
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Summary:Conventional optimization methods have been presented to solve the cooperative target tracking problem of radars without considering the task preference and the resource cost of the individual radar simultaneously, thus leading to robustness deficiency and performance degradation in dynamic jamming environments. To address this problem, the cooperative task assignment and power allocation problem of netted radars for maneuvering target tracking in self-defensive suppressive jamming is characterized as a decisionmaking and control process of multiple autonomous agents, and the multiagent cooperative tracking and control framework is therefore developed constituting with state prediction, coalition formation, power allocation, and state estimation. To characterize the preferences of radars for tracking decision, the utility function consisting of the reward function under the quality of service framework and the cost function with considering system resources is devised. Then, the hierarchical coalition game is formulated to describe the cooperative task assignment and power allocation process of radars, and the existence of the stable coalition partition of the game is proven. Based on the developed game model, the alternating coalition formation and projection gradient (ACFPG) algorithm is proposed leveraging the interacting multiple model filter for maneuvering target tracking. Numerical simulations are performed to illustrate the superiorities of the proposed strategy against some counterparts in terms of tracking utility and resource reduction.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2024.3472055