多传感器数据融合在空间目标跟踪中的基本应用
被引量:1
摘要
现代防空系统面临的威胁是不断变化的.航空、航天和电子战技术的发展构成了新的空间作战环境.随着空间进攻战术的发展,为了对空间环境作出更好的判断,需要多传感器组网并采用数据融合技术的防空作战系统.数据融合是多源信息处理的一项新技术,将数据融合技术引入多传感器目标跟踪系统能提高系统的整体性能,可以使系统发挥最大的潜力.本文首先分析研究了传感器网之间的各种融合方法的特性和共性.在此基础上,研究了融合算法的一个具体应用.
出处
《飞行器测控学报》
2002年第4期74-80,共7页
Journal of Spacecraft TT&C Technology
参考文献9
-
1Lindgren K, Gong F. Position and Velocity Estimation Via Bearing Observations.IEEE Trans.on A.E.S.1978,14(4)
-
2Averbuch A, Itzikowitz S and Kapon T.Radar Target Tracking-Viterbi versus IMM. IEEE Trans. On A.E.S. vol. 27, no. 3, May 1991
-
3Singer R. A., Sea R. G. A new filter for optimal tracking in dense multitarget environments. Proc. Of the ninth Allerton Conf. On Circuit and System Theory, 1971
-
4Song T L, Speyer J L. A Stochastic Analysis of a Modified Gain Extend Kalman Filter with Application to Estimation with Bearing Only Measurements. IEEE Trans. on A. C. 1985,30(10):940-949
-
5Speyer J L, Song T L. A Comparison Between the Pseudomeasurement and Extended Kalman Observers. Proceedings of the Intl. Decision and Control Con, 1981
-
6Blom H A P and Bar-Shalom Y. The interacting multiple model algorithm for systems with Markovian switching coefficients. IEEE Trans.,1988,AC-33:780-783.
-
7Norman H. Gholson, Richard L. Moose, "Maneuvering Target Tracking Using Adaptive State Estimation", IEEE Trans. On A.E.S. vol. 13, No. 3, May 1977
-
8Bar-Shalom Y and Birmiwal K. Variable-dimension filter for maneuvering target tracking. IEEE Transaction on Aerospace and Electronic Systems,1982,AES-18:621-629
-
9Blom H A P. An efficient filter for abruptly changing systems. Proceedings of the International Radar Conference, Paris, May 1984
同被引文献9
-
1Li I T, John Georganas, Multi-target Multi-platform sensor registration in geodetic coordinates [ C ]// Proceeding of the Fifth International Conference on Information Fusion, [ S. l. ] :IEEE, 2002, 366 -373.
-
2Bar-Shalom Y, Li X R. Estimation and Tracking[M]. Dedham, MA: Artech House, 1993.
-
3Blackman S, Popoli R. Design and analysis of modem tracking systems[ M]. Dedham, MA: Artech House, 1999.
-
4Bar-Shalom Y. Multitarget-multisensor tracking: Advanced Applications[ M ]. Dedham, MA : Artech House, 1990.
-
5Waltz E, Llinas J. Muhisensor data fusion [ M ]. Dedham, MA: Artech House, 1990.
-
6Bar-Shalom Y, Fortmann T. E. Tracking and data association [ M ]. New York : Academic Press, 1988.
-
7Li Winston, Leung Henry, Zhou Yifeng. Space-time registration of radar and ESM using unscented Kalman filter[ J ]. IEEE Transactions on AES,2004,40(4) : 824 -836.
-
8Duan Zhansheng, Han Chongzhao, Li Rong. Comments on unbiased converted measurements for tracking [ J ]. IEEE Transactions on AES, 2004,40 (4) : 1374 - 1377.
-
9陈非,敬忠良,李锋.空基多平台多传感器机动目标自适应跟踪[J].上海交通大学学报,2003,37(4):578-581. 被引量:2
二级引证文献3
-
1张平定,郑寇全,王睿.空地协同网络化防空数据融合系统建模[J].现代雷达,2011,33(3):5-7. 被引量:2
-
2范雄华,江晶,谢振华.一种离散运动状态的载机姿态估计方法[J].计算机工程与应用,2014,50(8):260-264.
-
3王宇丰,冯新喜.基于纯测距的移动传感器网络目标跟踪算法[J].计算机工程,2020,46(11):77-83.
-
1周荫清,洪信镇.多传感器信息融合技术[J].遥测遥控,1996,17(1):16-22. 被引量:11
-
2邱荣太.基于多源信息处理的实时集群计算机应用平台研究分析[J].中国电子商务,2012(1):84-84.
-
3朱靖,孟晓风.基于数据融合技术的多传感器目标跟踪系统[J].仪器仪表学报,2002,23(z2):567-568. 被引量:3
-
4王宁,兰为杰,程更建.一种交互多模型的远距离弱机动目标跟踪算法研究[J].电光系统,2009(4):28-31.
-
5姜立军,甘东兵,王国荣.基于双目视觉传感的计算机辅助骨外科手术导航模型[J].华南理工大学学报(自然科学版),2006,34(2):67-72. 被引量:8
-
6魏磊,吉国力,陈文奇.基于组网技术的防空雷达探测系统仿真与评估[J].厦门大学学报(自然科学版),2005,44(B06):277-280. 被引量:4
-
7周芳,韩立岩.多传感器信息融合技术综述[J].遥测遥控,2006,27(3):1-7. 被引量:18
-
8陈家祥.声发射技术在特种设备检测中的基本应用[J].中国科技投资,2013(A30):274-274.
-
9刘也,唐歌实,余安喜,朱炬波,梁甸农.具有等式约束的滑动多项式建模方法[J].中国科学:技术科学,2013,43(8):843-849.
-
10薛弘晔,马金福,常子煜.多源信息处理的实时集群计算机应用平台的实现[J].计算机工程与科学,2009,31(4):137-139.