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移动式雷达/红外辐射控制的调度方法 被引量:3

Scheduling approach of mobile radar/infrared radiation control
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摘要 针对降低移动式雷达/红外协同跟踪时的辐射风险问题,提出了一种移动式雷达/红外辐射控制的调度方法。首先,结合平台和目标的运动状态建立了目标跟踪模型,利用容积卡尔曼滤波预测跟踪精度;并引入辐射度影响建立了雷达辐射模型,给出了雷达辐射状态和系统辐射代价的预测方法;然后,以跟踪精度满足任务要求为约束条件,以长期辐射代价最小化为优化目标,构建了长期调度的目标函数;最后,针对求解时计算复杂度高的难题,设计了一种决策树搜索算法。仿真结果表明,文中所提调度方法与短期调度相比,具有更好的辐射控制效果,在决策步长为3时,其辐射代价下降了26.5%;且与固定位置调度比,文中方法能在改善跟踪性能的同时,降低辐射代价,在跟踪低速目标时,其跟踪误差和辐射代价分别下降了29.9%和30.5%。 To reduce the radiation risk of mobile radar/infrared cooperative tracking,a scheduling approach of mobile radar/infrared radiation control was proposed.Firstly,a target tracking model was established based on the moving state of the platform and the target,and the tracking accuracy was predicted by using the cubature Kalman filter.Secondly,the radar radiation model was established by introducing the radiation effect,and the prediction methods of the radar radiation status and the system radiation cost were given.Then,the objective function of non-myopic scheduling was constructed with tracking accuracy satisfying task requirements as constraints and non-myopic radiation cost minimization as optimization objectives.Finally,a decision tree search algorithm was designed to solve the problem of high computational complexity.The simulation results show that the proposed scheduling approach has better radiation control effect than the myopic scheduling approach.When the decision step is 3,the radiation cost decreases by 26.5%.Compared with the fixed position scheduling approach,the proposed approach can improve the tracking performance and reduce the radiation cost.When tracking low-speed targets,the tracking error and radiation cost are reduced by 29.9%and 30.5%,respectively.
作者 张昀普 徐公国 单甘霖(指导) 段修生 Zhang Yunpu;Xu Gongguo;Shan Ganlin;Duan Xiusheng(Department of Electronic and Optical Engineering,Army Engineering University Shijiazhuang Campus,Shijiazhuang 050003,China;College of Mechanical Engineering,Shijiazhuang Tiedao University,Shijiazhuang 050043,China)
出处 《红外与激光工程》 EI CSCD 北大核心 2019年第9期44-51,共8页 Infrared and Laser Engineering
基金 国防预研基金(012015012600A2203)
关键词 雷达 红外传感器 传感器调度 辐射控制 决策树 radar infrared sensor sensor scheduling radiation control decision tree
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  • 1窦丽华,杨国胜,陈杰,侯朝桢.Synergy Decision for Radar and IRST Data Fusion[J].Journal of Beijing Institute of Technology,2002,11(3):229-233. 被引量:5
  • 2李安平,敬忠良,胡士强.基于有源辅助的被动跟踪系统[J].上海交通大学学报,2005,39(12):2048-2051. 被引量:19
  • 3马照英,杨莘元,杨雷.机动目标跟踪中的序贯滤波[J].应用科技,2006,33(6):49-50. 被引量:6
  • 4Li Anping Jing Zhongliang Hu Shiqiang.UKF-based multi-sensor passive tracking with active assistance[J].Journal of Systems Engineering and Electronics,2006,17(2):245-250. 被引量:21
  • 5Davidson G, Symons S, Everett M. Sensor fusion system for infrared and radar [J]. Signal Processing Solutions for Homeland Security, 2005, 11(10): 1-7.
  • 6Simard M A, Begin F. Central level fusion of radar and IRST contacts and the choice of coordinate system [C]//SPIE, 1993, 195(4): 462-472.
  • 7Gan Q, Harris C J. Comparison of two measurement fusion methods for kalman-filter-based multisensor data fusion [J]. IEEE Transactions on Aerospace and Electronic Systems, 2001, 37(1): 273-279.
  • 8Akyildiz I E Su W L, Sankarasubramaniam Y, et al. A survey on sensor networks[J]. IEEE Communications Magazine, 2002, 40(8): 102-114.
  • 9Spanos D E Saber R O, Murray M R. Approximate distri- buted Kalman filtering in sensor networks with quantifiable performance[C]. Proc of the 4th Int Symposium on Information Processing in Sensor Networks. Los Angeles: IEEE Press', 2005: 133-139.
  • 10Saber R O. Distributed Kalman filtering algorithms for sensor networks[C]. Proc of the 46th IEEE Conf on Decision and Control. New Orleans: IEEE Press, 2007: 5492-5498.

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