Journal
RADIO SCIENCE
Volume 53, Issue 9, Pages 1108-1134Publisher
AMER GEOPHYSICAL UNION
DOI: 10.1029/2018RS006584
Keywords
l probability of intercept (LPI); intercept probability; transmitter selection; resource management; target tracking; radar networks
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Funding
- National Natural Science Foundation of China [61371170, 61671239]
- Natural Science Foundation of Jiangsu Province [SBK2018041336]
- Fundamental Research Funds for the Central Universities [NP2015404, NS2016038]
- National Aerospace Science Foundation of China [20172752019, 2017ZC52036]
- Priority Academic Program Development of Jiangsu Higher Education Institutions (PADA)
- Key Laboratory of Radar Imaging and Microwave Photonics (Nanjing Univ. Aeronaut. Astronaut.), Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China
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In this paper, a joint transmitter selection and resource management (JTSRM) strategy based on low probability of intercept (LPI) is proposed for target tracking in distributed radar network system. The basis of the JTSRM strategy is to utilize the optimization technique to control transmitting resources of radar networks in order to improve the LPI performance while guaranteeing a specified target-tracking accuracy. The weighted intercept probability and transmit power of radar networks is defined and subsequently employed as the optimization criterion for the JTSRM strategy. The resulting optimization problem is to minimize the LPI performance criterion of radar networks by optimizing the revisit interval, dwell time, transmitter selection, and transmit power subject to a desired target-tracking performance and some resource constraints. An efficient and fast three-step solution technique is also developed to solve this problem. The presented mechanism implements the optimal working parameters based on the feedback information in the tracking recursion cycle in order to improve the LPI performance for radar networks. Numerical simulations are provided to verify the superior performance of the proposed JTSRM strategy.
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