基于风险理论的主动传感器管理方法及应用研究
|
摘要
针对传感器资源有限的情况,以目标检测为背景,提出了一种基于风险理论的传感器管理方法.首先建立目标检测模型和传感器辐射模型,将"检测风险"和"截获风险"之和作为传感器管理风险函数,即目标函数.其次为对模型求解,将预测值的期望值作为目标函数的近似值,重新修正目标函数.接着设计了基于多Agent的分布式优化算法.仿真实验表明,通过本文提出的基于风险理论的传感器管理方法,能够有效实现传感器管理,与以往的传感器管理方法相比,本文方法更能较好地解决资源有限情况下的传感器管理问题.
A sensor management method with the limited sensor resources under target detecting is proposed based on risk theory.Firstly,the target detection model and the sensor radiation model are established,with 'detecting risk' and 'radiating risk' defined.The sum of the two kinds of risk is taken as the sensor management risk function,namely the objective function.Secondly,to get a scheme from the function,the predicted expectation value is taken as the approximation of the objective function,then the objective function is revised.After that,a distributed optimization algorithm based on multi-agent is proposed.The experiment results show that the proposed sensor management method based on risk theory can effectively resolve the problem of sensor management.This method outperforms the previous sensor management method and could solve the problem of sensor management under limited resources with a better solution.
A sensor management method with the limited sensor resources under target detecting is proposed based on risk theory.Firstly,the target detection model and the sensor radiation model are established,with 'detecting risk' and 'radiating risk' defined.The sum of the two kinds of risk is taken as the sensor management risk function,namely the objective function.Secondly,to get a scheme from the function,the predicted expectation value is taken as the approximation of the objective function,then the objective function is revised.After that,a distributed optimization algorithm based on multi-agent is proposed.The experiment results show that the proposed sensor management method based on risk theory can effectively resolve the problem of sensor management.This method outperforms the previous sensor management method and could solve the problem of sensor management under limited resources with a better solution.
引文
[1] 阎涛,韩崇昭,张光华.空中目标传感器管理方法综述[J].航空学报,2018,39(10):022209.YAN Tao,HAN Chong-zhao,ZHANG Guang-hua.An overview of sensor management approaches for aerial target[J].Acta Aeronautica et Astronautica Sinica,2018,39(10):022209.(in Chinese)
[2] SAURAV S,YIMIN D Z,MOENESS G A.Cramer-rao type bbounds for sparsity-aware multi-sensor multi-target tracking[J].Signal Processing,2018,145(1):68-77.
[3] AHMAD B A,AYED T J,STEPHEN L S.A complete greedy algorithm for infinite-horizon sensor scheduling[J].Automatica,2017,81(1):335-341.
[4] GOSTAR A,HOSEINNEZHAD R,WEIFEBG L.Sensor-management for multi-target filters via minimization of posterior dispersion[J].IEEE Transactions on Aerospace and Electronic Systems,2017,53(6):2877-2884.
[5] 杨小军.基于性能边界和量化数据的WSN目标跟踪传感器选择算法[J].电子学报,2014,42(6):1081-1085.YANG Xiao-jun.Sensor selection for target tracking in wireless sensor networks based on performance bounds and quantized data[J].Acta Electronica Sinica,2014,42(6):1081-1085.(in Chinese)
[6] MARIO B,IVAN M,IVAN P.Score matching based assumed density filtering with the von mises-fisher distribution[A].Proceedings of the 20th International Conference on Information Fusion[C].Piscataway:IEEE,2017.433-438.
[7] 陈辉,贺忠良,刘备.多目标跟踪中基于信息熵测度的传感器控制方法[J].控制与决策,2018,33(2):337-344.CHEN Hui,HE Zhong-liang,LIU Bei.Sensor control method based on information entropy measure for multi-target tracking[J].Control and Decision,2018,33(2):337-344.(in Chinese)
[8] MOSAYIN Cw L,SHIRAISHI S.Information-driven autonomous intersection control via incentive compatible mechanisms[J].IEEE Transactions on Intelligent Transportation Systems,2018,99(1):1-13.
[9] 陈辉,贺忠良,连锋,李晨.多目标跟踪中基于目标威胁评估的传感器控制方法研究[J].电子与信息学报,2018,(40):1-7.CHEN Hui,HE Zhong-liang,LIAN Feng,LI Chen.Threat assessment based sensor control for multi-target tracking[J].Journal of Electronics & Information Technology,2018,(40):1-7.(in Chinese)
[10] MARCOS E G B,DOMINIQUE M,PHILIPPE V.Sensor management using expected risk reduction approach[A].Proceedings of the 19th International Conference on Information Fusion[C].Piscataway:IEEE,2016.2050-2058.
[11] SEAN M.Risk-based sensor resource management for field of view constraint sensor[A].Proceedings of the 18th International Conference on Information Fusion[C].Piscataway:IEEE,2015.2041-2048.
[12] MARCOS E G B,DOMINIQUE M,PHILIPPE V.A risk-based sensor management using random finite sets and POMDP[A].Proceedings of the 20th International Conference on Information Fusion[C].Piscataway:IEEE,2017.1588-1596.
[13] MARION B,KRUGER W,JASON W.Rolling horizon non-myopic scheduling of multisensory radar for search and track[A].Proceedings of the 19th International Conference on Information Fusion[C].Piscataway:IEEE,2016.634-642.
[14] 刘宏强,魏贤智,李飞.基于射频隐身的雷达跟踪状态下单次辐射能量实时控制方法[J].电子学报,2015,43(10):2047-2053.LIU Hong-qiang,WEI Xian-zhi,LI Fei.The real time control of radar single radiation power based on RF stealth at the tracking[J].Acta Electronica Sinica,2015,43(10):2047-2053.(in Chinese)
[15] VIKRAM K.Emission management for low probability intercept sensors in network centric warfare[J].IEEE Transactions on Aerospace and Electronic Systems,2005,41(1):133-152.
[16] 乔成林,单甘霖,段修生.面向跟踪任务需求的主动传感器调度方法[J].系统工程与电子技术,2017,39(1):2515-2521.QIAO Cheng-lin,SHAN Gan-lin,DUAN Xiu-sheng.Scheduling algorithm of active sensors for tracking task requirement[J].Systems Engineering and Electronics,2017,39(1):2515-2521.(in Chinese)
[17] OZTURK O,MEHMET A B,GREGORY S Z.A branch and bound algorithm for scheduling unit size jobs on parallel batching machines to minimize makespan[J].International Journal of Production Research,2017,1:1-17.
[18] MEI W J,XIONG G M.GONG J W.Multiple moving target tracking with hypothesis trajectory model for autonomous vehicles[A].Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems[C].Yokohama:IEEE,2017.16-19.
[19] AMAR K G,GUY E G.Equivalence class verification of the contract net protocol extension[J].International Journal on Software Tools for Technology Transfer,2016,18(6):685-706.
[20] SHI C G,SANA S,WANG F.Power allocation for target detection in radar networks based on low probability of intercept:a cooperative game theoretical strategy[J].Radio Science,2017,(1):1030-1044.
[2] SAURAV S,YIMIN D Z,MOENESS G A.Cramer-rao type bbounds for sparsity-aware multi-sensor multi-target tracking[J].Signal Processing,2018,145(1):68-77.
[3] AHMAD B A,AYED T J,STEPHEN L S.A complete greedy algorithm for infinite-horizon sensor scheduling[J].Automatica,2017,81(1):335-341.
[4] GOSTAR A,HOSEINNEZHAD R,WEIFEBG L.Sensor-management for multi-target filters via minimization of posterior dispersion[J].IEEE Transactions on Aerospace and Electronic Systems,2017,53(6):2877-2884.
[5] 杨小军.基于性能边界和量化数据的WSN目标跟踪传感器选择算法[J].电子学报,2014,42(6):1081-1085.YANG Xiao-jun.Sensor selection for target tracking in wireless sensor networks based on performance bounds and quantized data[J].Acta Electronica Sinica,2014,42(6):1081-1085.(in Chinese)
[6] MARIO B,IVAN M,IVAN P.Score matching based assumed density filtering with the von mises-fisher distribution[A].Proceedings of the 20th International Conference on Information Fusion[C].Piscataway:IEEE,2017.433-438.
[7] 陈辉,贺忠良,刘备.多目标跟踪中基于信息熵测度的传感器控制方法[J].控制与决策,2018,33(2):337-344.CHEN Hui,HE Zhong-liang,LIU Bei.Sensor control method based on information entropy measure for multi-target tracking[J].Control and Decision,2018,33(2):337-344.(in Chinese)
[8] MOSAYIN Cw L,SHIRAISHI S.Information-driven autonomous intersection control via incentive compatible mechanisms[J].IEEE Transactions on Intelligent Transportation Systems,2018,99(1):1-13.
[9] 陈辉,贺忠良,连锋,李晨.多目标跟踪中基于目标威胁评估的传感器控制方法研究[J].电子与信息学报,2018,(40):1-7.CHEN Hui,HE Zhong-liang,LIAN Feng,LI Chen.Threat assessment based sensor control for multi-target tracking[J].Journal of Electronics & Information Technology,2018,(40):1-7.(in Chinese)
[10] MARCOS E G B,DOMINIQUE M,PHILIPPE V.Sensor management using expected risk reduction approach[A].Proceedings of the 19th International Conference on Information Fusion[C].Piscataway:IEEE,2016.2050-2058.
[11] SEAN M.Risk-based sensor resource management for field of view constraint sensor[A].Proceedings of the 18th International Conference on Information Fusion[C].Piscataway:IEEE,2015.2041-2048.
[12] MARCOS E G B,DOMINIQUE M,PHILIPPE V.A risk-based sensor management using random finite sets and POMDP[A].Proceedings of the 20th International Conference on Information Fusion[C].Piscataway:IEEE,2017.1588-1596.
[13] MARION B,KRUGER W,JASON W.Rolling horizon non-myopic scheduling of multisensory radar for search and track[A].Proceedings of the 19th International Conference on Information Fusion[C].Piscataway:IEEE,2016.634-642.
[14] 刘宏强,魏贤智,李飞.基于射频隐身的雷达跟踪状态下单次辐射能量实时控制方法[J].电子学报,2015,43(10):2047-2053.LIU Hong-qiang,WEI Xian-zhi,LI Fei.The real time control of radar single radiation power based on RF stealth at the tracking[J].Acta Electronica Sinica,2015,43(10):2047-2053.(in Chinese)
[15] VIKRAM K.Emission management for low probability intercept sensors in network centric warfare[J].IEEE Transactions on Aerospace and Electronic Systems,2005,41(1):133-152.
[16] 乔成林,单甘霖,段修生.面向跟踪任务需求的主动传感器调度方法[J].系统工程与电子技术,2017,39(1):2515-2521.QIAO Cheng-lin,SHAN Gan-lin,DUAN Xiu-sheng.Scheduling algorithm of active sensors for tracking task requirement[J].Systems Engineering and Electronics,2017,39(1):2515-2521.(in Chinese)
[17] OZTURK O,MEHMET A B,GREGORY S Z.A branch and bound algorithm for scheduling unit size jobs on parallel batching machines to minimize makespan[J].International Journal of Production Research,2017,1:1-17.
[18] MEI W J,XIONG G M.GONG J W.Multiple moving target tracking with hypothesis trajectory model for autonomous vehicles[A].Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems[C].Yokohama:IEEE,2017.16-19.
[19] AMAR K G,GUY E G.Equivalence class verification of the contract net protocol extension[J].International Journal on Software Tools for Technology Transfer,2016,18(6):685-706.
[20] SHI C G,SANA S,WANG F.Power allocation for target detection in radar networks based on low probability of intercept:a cooperative game theoretical strategy[J].Radio Science,2017,(1):1030-1044.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |