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激光告警多目标定位与跟踪技术研究 被引量:5

Research on the Multi-target Locating and Tracking Technology with the Laser Warner
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摘要 研究了激光告警多目标定位和跟踪的建模方法。利用聚类概念,对激光告警器测量数据进行集类,并对各个类对应的目标状态进行空间-时间融合。通过求解航迹信息融合的状态估计值,实时形成同步脉冲控制逻辑,从而实现对激光多目标的实时跟踪和激光信号的实时提取。给出了激光告警多目标定位与跟踪的设计过程,提出了一种实用简便的融合算法,并设计了一套该模型的原理样机。试验结果验证了这种方法的有效性。 A method of the multi-target locating and tracking modeling with the laser warner is studied. The clustering concept is applied to the measurements of the laser warner, and space-time fusion for the measurements in the same cluster is made. The synchronous -pulse-control logic in real time is formed by solving estimated tracking data fusion parameters to implement the real time tracking of multi-laser-target and the real time picking of multi-laser signals. The design process for the multi-target locating and tracking with the laser warner is introduced,a practical algorithm is presented ,and a prototype device is built. The results of experiments show that the method is very effective.
出处 《航空学报》 EI CAS CSCD 北大核心 2006年第6期1161-1165,共5页 Acta Aeronautica et Astronautica Sinica
基金 航空科学基金(04153067) 高等学校博士学科点基金(20020699014)
关键词 状态估计 多目标跟踪 信息融合 激光告警 聚类 state estimation multi-target tracking data fusion laser warner cluster
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  • 1何友,彭应宁,陆大.多传感器数据融合模型综述[J].清华大学学报(自然科学版),1996,36(9):14-20. 被引量:85
  • 2Llinas J,Waltz E.Multisensor data fusion[M].Artech House, Norwood, Massachusetts,1990. 15-237. 被引量:1
  • 3Torrieri D J.Statistical theory of passive location systems[J].IEEE Trans on AES, 1984,20(1): 183-198. 被引量:1
  • 4Taff L G. Target localization from bearings-only observations [J]. IEEE Trans on AES, 1997,33(1): 2-10. 被引量:1
  • 5Becker K.Passive location of frequency-agile radars from angle and frequency measurements[J].IEEE Trans on AES, 1999,35(4): 1129-1144. 被引量:1
  • 6Singer R A, Kanyuck A T. Computer control of multiple site track data[J]. Automation, 1971,7(3):455-463. 被引量:1
  • 7Bar-Shalom Y, Fortmann T E. Tracking and data association[M]. New York:Academic Press,1988. 被引量:1
  • 8Kosoka M.A track correlation algorithm for multisensor intergration[A].Proceeding of the IEEE/AIAA 5th Digital Avionics System Conf[C].1983. 被引量:1
  • 9Chang C B, Youens L C. Measurement correlation for multiple sensor tracking in a dense target enviroment[J]. IEEE Trans, 1982, AC-27(6):1250-1252. 被引量:1
  • 10Hopfield J J. Neural networks and physical systems with emergent collective computational abilities[J]. Pro Natl Acad Sci USA,1982,79:2554-2558. 被引量:1

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