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Survey on the Technology of Hypersonic Vehicle Tracking
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    Abstract:

    In recent years, the near space hypersonic vehicle is widely concerned by the military in the world. The near space hypersonic vehicle develops quickly. Based on this background, this paper chooses near space hypersonic vehicle as the research object, on the basic principle of maneuvering target tracking based, summarizing the improvement direction of the algorithm of maneuvering target tracking in recent years. Starting from the maneuvering target model and adaptive filtering algorithm, improved algorithm is proposed for the idea, design and development of near space hypersonic velocity of target tracking system to provide support on theory exploration.

    Reference
    1 樊友友.高速高机动目标跟踪算法及应用研究[硕士学位论文].西安:西安电子科技大学,2013.
    2 陈亮.机动目标跟踪关键技术研究[硕士学位论文].哈尔滨:哈尔滨工程大学,2012.
    3 Wan MJ, Li PF, Li T. Tracking maneuvering target with angle-only measurements using IMM algorithm based on CKF. CMC. 2010. 92-96.
    4 关欣,赵静,何友.临近空间高超声速飞行器跟踪技术.四川兵工学报,2011,32(8):4-6.
    5 唐克,冯宝龙,谢保军,黄烨.临近空间飞行器开发利用现状与发展趋势.飞航导弹,2012,12(11):44-48.
    6 蔡国飙,徐大军.高超声速飞行器技术.北京:科学出版社,2012.
    7 周政.空天高机动目标跟踪技术研究[博士学位论文].西安:空军工程大学,2013.
    8 关欣,赵静,何友.临近空间高超声速飞行器跟踪技术.四川兵工学报,2011,32(8):4-6.
    9 何友,修建娟,关欣.雷达数据处理和应用.第3版.北京:电子工业出版社,2013.
    10 史玉柱.最优估计的计算方法.北京:科学出版社,2001.
    11 Jazwinski AH. Stochastic Processes and Filtering Ttheory. New York:Academic 1970.
    12 石章松,刘忠,王航宇,孙世岩,周丰,林华.目标跟踪与数据融合理论及方法.北京:国防工业出版社,2010.
    13 Moose RL. An adaptive state estimation solution to the maneuvering target problem. IEEE Trans. on Automation Control, 1975, 20(6):359-362.
    14 董来欣,谭贤四,武子彦,韩伟.一种新的高超声速目标跟踪算法.空军雷达学院学报,2012,26(2):111-114.
    15 陈亮.机动目标跟踪关键技术研究[硕士学位论文].哈尔滨:哈尔滨工程大学,2012.
    16 许天野,徐雪松.交互多模型算法在目标跟踪领域的应用.四川兵工学报,2013,11:116-119.
    17 董莎莎,徐一兵,李勇等.双Markov多假设IMM机动目标跟踪算法.计算机工程,2010,36(7):204-205.
    18 张文,毛艺帆,王睿.空天高速飞行器建模技术研究.空军工程大学学报(自然科学版),2013,14(2):9-13.
    19 Chuang CH, Morimoto H. Sub-optimal and optimal periodic solutions for hypersonic transport. Proc. of the American Control Conference, Washington, June 1995.
    20 Dewell LD, Speyer JL. Fuel-optimal periodic control and regulation in constrained hypersonic flight. AIAA 96-3902, 1996.
    21 Chuang CH, Morimoto H. Optimal periodic cruise for a hypersonic vehicle with constrants. AIAA 96-3876, 1996.
    22 张忠峰,高云峰,宝音贺西.高超声速飞行器周期巡航条件的确定.力学与实践,2009,31(1):16-19.
    23 王国宏,李俊杰,张翔宇,吴巍.临近空间高超声速滑跃式机动目标的跟踪模型.航空学报,2015,7:2400-2410.
    24 关欣,赵静,张政超,何友.一种可行的高超声速飞行器跟踪算法.电讯技术,2011,51(8):80-84.
    25 Ho TJ. Brief paper:a switched IMM-Extended Viterbi estimator-based algorithm for maneuvering target tracking. Automatica(Journal of IFAC), 2011, 47(1):92-98.
    26 Li B, Xin C. Steady state filters bank based interacting multiple-model-extended viterbi algorithm for maneuvering target tracking. Journal of Convergence Information Technology, 2012, 7(9):212-220.
    27 李昌玺,毕红葵,张兵,肖松.一种改进的高超声速目标跟踪算法.空军工程大学学报(自然科学版),2012,13(5):50-54.
    28 陆晶莹.高速高机动目标IMM跟踪算法研究[硕士学位论文].南京:南京理工大学,2010.
    29 李昌玺,毕红葵,王红,张兵.一种临近空间高超声速目标跟踪算法.航天电子对抗,2012,28(4):10-13.
    30 高宪军,霍长庚,谈欣荣.改进IMM的两飞行体无源定位跟踪算法.现代防御技术,2014,42(2):61-66.
    31 谭顺成,王国宏,王娜.IMM-Singer模型的机动目标跟踪算法.火力与指挥控制,2012,37(2):32-34.
    32 李文静.机动目标跟踪算法.无线电工程,2012,42(1):58-61.
    33 付斌,丁月宁,黄 勇,闫杰.导引模型在FTC自适应IMM-UKF目标跟踪算法中的应用.电光与控制,2014, 21(1):68-77.
    34 霍长庚,高宪军.CS模型下IMM-PF算法在机动目标跟踪中的应用.现代防御技术,2013,41(4):22-26.
    35 崔彦凯,梁晓庚,王志刚,贾晓洪.高速高机动目标自适应IMM跟踪算法.计算机工程与应用,2014,50(8):198-206.
    36 Yuan DP, Zheng JY. Interacting multiple model target tracking algorithm based on particle filtering. IEEE, 2011:1907-1910.
    37 Liu HJ. Adaptive interacting multiple model unscented particle filter tracking algorithm. Applied Mechanics and Materials, 2012:906-910.
    38 许江湖,刘忠,党玲.自适应网格交互多模型不敏粒子滤波算法.舰船科学技术,2012,34(8):18-22.
    39 Ulker Y, Gunsel B. Multiple model target tracking with variable rate particle filter. Digital Signal Processing, 2012, 22(3):417-429.
    40 Zhang M, Chen WD. Variable structure multiple model particle filter for maneuvering radar target tracking. IEEE, 2010:1754-1757.
    41 Wan MJ, Li PF, Li T. Tracking maneuvering target with angle-only measurements using IMM algorithm based on CKF. CMC, 2010:92-96.
    42 Gadsden SA, Habibi SR, Kirubarajan T. A novel interacting multiple model method for nonlinear target tracking. 2010 13th IEEE Conference on Information Fusion(FUSION). 2010:1-8.
    43 梁彦,贾宇岗,潘泉.具有参数自适应的交互多模型算法.控制及理论与应用,2001,18(5):653-656.
    44 Johnston LA, Krishnamurthy V. An improvement to the interacting multiple model(IMM) algorithm. IEEE Trans. on Signal Processing, 2001, 49(12):2909-2923.
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王博,贺正洪,张晶,赵敏.高超声速飞行器跟踪技术综述.计算机系统应用,2015,24(11):7-13

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History
  • Received:March 04,2015
  • Revised:April 26,2015
  • Online: December 03,2015
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Links:Journal of Software中国科学院软件研究所中国计算机学会中国科学院国家自然科学基金委员会
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