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水下目标的无源定位和融合技术研究
引用本文:杨新刚,刘以安,刘静,孟现海.水下目标的无源定位和融合技术研究[J].弹箭与制导学报,2007,27(5):319-321.
作者姓名:杨新刚  刘以安  刘静  孟现海
作者单位:江南大学信息工程学院,江苏无锡,214122
基金项目:国防应用基础研究基金资助
摘    要:针对水下机动目标的无源定位和跟踪问题。先运用测向定位和时差定位相结合的思想。给出来自水下机动声源目标的定位解;然后在此基础上,将多部被动声呐在各个状态时刻所定位的含噪声数据视为一冲击扰动序列,对其应用缓冲算子作用。以弱化其随机性。最后,再对缓冲算子作用后的扰动序列进一步应用数据融合技术来改善和提高定位系统的跟踪精度。仿真结果表明,该方法是有效、可行的。

关 键 词:测向时差定位  缓冲算子  数据融合
收稿时间:2006-10-23
修稿时间:2007-01-19

Study on Underwater Maneuvering Target Location and Data Fusion Technology
YANG Xin-gang,LIU Yian,LIU Jing,MENG Xian-hai.Study on Underwater Maneuvering Target Location and Data Fusion Technology[J].Journal of Projectiles Rockets Missiles and Guidance,2007,27(5):319-321.
Authors:YANG Xin-gang  LIU Yian  LIU Jing  MENG Xian-hai
Abstract:A new solution to the problem of passive location and tracking underwater maneuvering targets is introduced in this paper. First of all, we combine the bearing location and time difference location together to get the locating solution of underwater maneuvering targets. To attenuate its randomness, we take the noisy data that multi-passive-sonar locates as a shock disturbed sequence and use the buffering operator upon it. Finally, the technique of data fusion is applied upon its result to further improve the tracking precision of the system. Our experiment shows that the solution is effective and feasible.
Keywords:bearing time difference location  buffering operator  data fusion
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