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Qun Zhang, Di Meng, Ying Luo, Yijun Chen. Dwell Scheduling Algorithm for Digital Array Radar[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2018, 27(1): 74-82. doi: 10.15918/j.jbit1004-0579.201827.0110
Citation: Qun Zhang, Di Meng, Ying Luo, Yijun Chen. Dwell Scheduling Algorithm for Digital Array Radar[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2018, 27(1): 74-82.doi:10.15918/j.jbit1004-0579.201827.0110
shu

Dwell Scheduling Algorithm for Digital Array Radar

doi:10.15918/j.jbit1004-0579.201827.0110

  • Institute of Information and Navigation, Air Force Engineering University, Xi'an 710077, China;Collaborative Innovation Center of Information Sensing and Understanding, Xi'an 710077, China

  • Received Date:2017-03-06
    Abstract
  • Aiming at the problem of resource allocation for digital array radar(DAR), a dwell scheduling algorithm is proposed in this paper. Firstly, the integrated priority of different radar tasks is designed,which ensures that the imaging tasks are scheduled without affecting the search and tracking tasks; Then, the optimal scheduling model of radar resource is established according to the constraints of pulse interleaving; Finally, a heuristic algorithm is used to solve the problem and a sparse-aperture cognitive ISAR imaging method is used to achieve partial precision tracking target imaging. Simulation results demonstrate that the proposed algorithm can both improve the performance of the radar system, and generate satisfactory imaging results.
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