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Resource management for hypersonic target detection by radar network based on responsibility area partitioning
Received date: 2023-05-19
Revised date: 2023-06-08
Accepted date: 2023-07-05
Online published: 2023-07-28
Supported by
National Natural Science Foundation of China(61271451)
To solve the problem of high computational effort for real-time track assignment of highly maneuverable hypersonic targets, a resource management method is proposed based on responsibility area partitioning of radar network. To minimize the sum of the energy emitted by the radar network and the cost of track delays, a model for radar network resource management is established. Based on the results obtained from the model, a responsibility area partitioning method is proposed to minimize the maximum resource demand of radars within the network. Furthermore, a formula for optimizing the responsibility area partitioning considering the density of target distribution is derived, simplifying the resource allocation problem to determining which area the target falls into and enabling advanced track allocation for such targets. Simulation results demonstrate that with the minimal influence on track performance, the proposed method can pre-allocate approximately 40% of the maximum target track tasks within the defense area, thus significantly reducing the computational effort of real-time target allocation algorithms and enhancing the robustness of radar resource utilization.
Jiancheng ZHENG , Zhiguo QU , Xiansi TAN , Zhihuai LI , Gang ZHU , Lujun LI , Wei LIU . Resource management for hypersonic target detection by radar network based on responsibility area partitioning[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2024 , 45(8) : 329022 -329022 . DOI: 10.7527/S1000-6893.2023.29022
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