盲区下高超声速飞行器贝叶斯指示交接方法
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摘要
针对探测盲区下的高超声速飞行器接力跟踪问题,提出了基于多假设运动模型的贝叶斯指示交接方法。该方法首先根据目标运动的先验信息,对盲区下模型参数进行多假设建模。然后利用贝叶斯理论以概率的形式表达目标在盲区内的运动状态,通过蒙特卡罗采样近似计算搜索空域中目标的概率分布,从而确定搜索空域和波位顺序。仿真结果表明,该算法在一定盲区范围内,针对不同机动能力的目标均具有较高交接成功概率,其性能显著优于传统算法,能够实现目标的指示交接。
Considering the problem of tracking hypersonic vehicle in detection blind zone,a Bayesian handover method based on multiple-hypothesis motion models is proposed.According to the priori information of target motion,this method firstly models the multiple-hypothesis of the model parameters in detection blind zone.Then the Bayesian theory is used to express the motion state of the target in the form of probability.The probability distribution of the target is approximately calculated by Monte-Carlo sampling,and the searched space and wave arrangements can be determined consequently.The simulations show that the proposed algorithm has a high probability of success for handing-off targets with different maneuverability,whose performance is significantly better than that of the traditional algorithm and it can achieve the target handover.
Considering the problem of tracking hypersonic vehicle in detection blind zone,a Bayesian handover method based on multiple-hypothesis motion models is proposed.According to the priori information of target motion,this method firstly models the multiple-hypothesis of the model parameters in detection blind zone.Then the Bayesian theory is used to express the motion state of the target in the form of probability.The probability distribution of the target is approximately calculated by Monte-Carlo sampling,and the searched space and wave arrangements can be determined consequently.The simulations show that the proposed algorithm has a high probability of success for handing-off targets with different maneuverability,whose performance is significantly better than that of the traditional algorithm and it can achieve the target handover.
引文
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[21]LI X R,JILKOV V P.Survey of maneuvering target tracking.Part II:motion models of ballistic and space targets[J].IEEE Trans.on Aerospace&Electronic Systems,2010,46(1):96-119.
[22]张凯,熊家军,韩春耀,等.一种基于气动力模型的高超声速滑翔目标跟踪算法[J].宇航学报,2017,38(2):123-130.ZHANG K,XIONG J J,HAN C Y,et al.A tracking algorithm of hypersonic glide reentry vehicle via aerodynamic model[J].Journal of Astronautics,2017,38(2):123-130.
[23]HARLOFF G J.High angle-of-attack hypersonic aerodynamics[J].Journal of Spacecraft&Rockets,2015,25(5):343-344.
[24]孙景乐,唐林波,赵保军,等.基于瑞利分布的粒子滤波跟踪算法[J].电子与信息学报,2013,35(4):763-769.SUN J L,TANG L B,ZHAO B J,et al.A new particle filter tracking algorithm based on Rayleigh distribution[J].Journal of Electronics&Information Technology,2013,35(4):763-769.
[25]刁联旺,杨静宇.一种改进的机动目标“当前”统计模型的描述[J].兵工学报,2005,26(6):825-828.DIAO L W,YANG J Y.An improved description of current statistical model for maneuvering target[J].Acta Armamentarii,2005,26(6):825-828.
[26]YANG T,LAUGESEN R S,MEHTA P G,et al.Multivariable feedback particle filter[J].Automatica,2016,71(1):10-23.
[27]PHILLIPS T H.A common aero vehicle(CAV)model,description,and employment guide[R].Schafer Corporation for AFRL and AF-SPC,2003.
[2]MOSES P L,RAUSCH V L,NGUYEN L T,et al.NASA hypersonic flight demonstrators-overview,status,and future plans[J].Acta Astronautica,2004,55(3/9):619-630.
[3]郑玉军,田康生,刘俊凯,等.早期预警雷达和多功能相控阵雷达的目标指示交接方法[J].兵工学报,2017,38(1):106-113.ZHENG Y J,TIAN K S,LIU J K,et al.The target designation and handover method of early-warning radar and multifunction phased array radar[J].Acta Armamentarii,2017,38(1):106-113.
[4]ZRNIC D S,MELNIKOV V M,DOVIAK R J,et al.Scanning strategy for the multifunction phased-array radar to satisfy aviation and meteorological needs[J].IEEE Geoscience&Remote Sensing Letters,2017,12(6):1204-1208.
[5]唐书娟,许蕴山,毕笃彦,等.信息引导条件下雷达搜索空域及策略[J].西安电子科技大学学报(自然科学版),2016,43(1):173-179.TANG S J,XU Y S,BI D Y,et al.Airspace and searching strategy of radar under the information guiding condition[J].Journal of Xidian University(Natural Science Edition),2016,43(1):173-179.
[6]张华睿,杨宏文,郁文贤.多目标情况下IRST和雷达的指示交接问题[J].电子与信息学报,2011,33(5):1101-1106.ZHANG H R,YANG H W,YU W X.The handoff method of IRST and radar under multi-target scenario[J].Journal of Electronics&Information Technology,2011,33(5):1101-1106.
[7]HAUG A J.Bayesian estimation and tracking:apractical guide[M].New York:Springer,2012:1-67.
[8]夏双志,刘宏伟,纠博.基于贝叶斯理论的一种接力跟踪方法[J].电子与信息学报,2011,33(3):652-658.XIA S Z,LIU H W,JIU B.A method of relay of tracking based on Bayesian theory[J].Journal of Electronics&Information Technology,2011,33(3):652-658.
[9]WU W H,LIU W,JIANG J,et al.GM-PHD filter-based multitarget tracking in the presence of Doppler blind zone[J].Digital Signal Processing,2016,52(C):1-12.
[10]WU W,JIANG J,LIU W,et al.Augmented state GM-PHD filter with registration errors for multi-target tracking by Doppler radars[J].Signal Processing,2016,120(C):117-128.
[11]吴鑫辉,黄高明,高俊.异步多传感器多目标PHD航迹合成算法[J].航空学报,2013,34(12):2785-2793.WU X H,HUANG G M,GAO J.PHD for composite tracking algorithm based on asynchronous multi-sensor multi-target measurements[J].Acta Aeronautica et Astronautica Sinica,2013,34(12):2785-2793.
[12]LI X.Improved joint probabilistic data association method based on interacting multiple model[J].Journal of Networks,2014,9(6):17-20.
[13]ZHANG Y,BAR-SHALOM Y.Track segment association for GMTI tracks of evasive move-stop-move maneuvering targets[J].IEEE Trans.on Aerospace&Electronics Systems,2011,47(3):1899-1914.
[14]RAGHU J,SRIHARI P,THARMARASA R,et al.Comprehensive track segment association for improved track continuity[J].IEEE Trans.on Aerospace&Electronic Systems,2018:1-1.
[15]YANG J,SONG Q,QU C,et al.Track-to-track association technique in radar network in the presence of systematic errors[J].Journal of Signal&Information Processing,2013,4(3):288-298.
[16]KOSAKA M,MIYAMOTO S,IHARA H.A track correlation algorithm for multi-sensor integration[J].Journal of Guidance Control&Dynamics,2015,10(2):10-171.
[17]MERTENS M,KOCH W,KIRUBARAJAN T.Exploiting Doppler blind zone information for ground moving target tracking with bistatic airborne radar[J].IEEE Trans.on Aerospace&Electronic Systems,2014,50(1):130-148.
[18]齐林,王海鹏,熊伟,等.基于先验信息的多假设模型中断航迹关联算法[J].系统工程与电子技术,2015,37(4):732-739.QI L,WANG H P,XIONG W,et al.Track segment association algorithm based on multiple-hypothesis models with priori information[J].Systems Engineering&Electronics,2015,37(4):732-739.
[19]REGAN F J.Dynamics of atmospheric re entry[J].Nasa Sti/recon Technical Report A,2015,93.
[20]CHANG C B,ATHANS M,WHITING R H.On the state and parameter estimation for maneuvering reentry vehicles[J].IEEE Trans.on Automatic Control,1977,22(1):99-105.
[21]LI X R,JILKOV V P.Survey of maneuvering target tracking.Part II:motion models of ballistic and space targets[J].IEEE Trans.on Aerospace&Electronic Systems,2010,46(1):96-119.
[22]张凯,熊家军,韩春耀,等.一种基于气动力模型的高超声速滑翔目标跟踪算法[J].宇航学报,2017,38(2):123-130.ZHANG K,XIONG J J,HAN C Y,et al.A tracking algorithm of hypersonic glide reentry vehicle via aerodynamic model[J].Journal of Astronautics,2017,38(2):123-130.
[23]HARLOFF G J.High angle-of-attack hypersonic aerodynamics[J].Journal of Spacecraft&Rockets,2015,25(5):343-344.
[24]孙景乐,唐林波,赵保军,等.基于瑞利分布的粒子滤波跟踪算法[J].电子与信息学报,2013,35(4):763-769.SUN J L,TANG L B,ZHAO B J,et al.A new particle filter tracking algorithm based on Rayleigh distribution[J].Journal of Electronics&Information Technology,2013,35(4):763-769.
[25]刁联旺,杨静宇.一种改进的机动目标“当前”统计模型的描述[J].兵工学报,2005,26(6):825-828.DIAO L W,YANG J Y.An improved description of current statistical model for maneuvering target[J].Acta Armamentarii,2005,26(6):825-828.
[26]YANG T,LAUGESEN R S,MEHTA P G,et al.Multivariable feedback particle filter[J].Automatica,2016,71(1):10-23.
[27]PHILLIPS T H.A common aero vehicle(CAV)model,description,and employment guide[R].Schafer Corporation for AFRL and AF-SPC,2003.
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