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UKF在反辐射无人机抗目标雷达关机中的应用 被引量:6

An Application of UKF to Antagonism Against the Radar Stopping Radiating of Anti-Radiation UAV
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摘要 基于捷联惯导/反辐射导引头组合抗目标雷达关机制导方案,研究了UKF方法在对目标雷达被动定位中的应用。针对反辐射导引头测角存在非线性特性的特点,提出了一种基于扩展状态变量维数的方法同时实现目标状态估计和导引头非线性特性补偿。仿真结果表明,UKF方法与传统的EKF方法相比具有更高的定位精度。 Based on guidance scheme of antagonism against the radar stopping radiating using strap-down inertial navigation system and anti-radar seeker, the application of UKF to passive localization of target is studied. Considering nonlinear characteristic of anti-radar seeker, a method of extending dimensions of state variables is present to achieve estimation of target's state and compensation of nonlinear characteristic of anti-radar seeker. The result of simulat UKF is more accurate comparing that using traditional method of ion shows that passive localization using EKF.
机构地区 西北工业大学
出处 《火力与指挥控制》 CSCD 北大核心 2009年第7期100-102,共3页 Fire Control & Command Control
关键词 反辐射无人机 UKF 非线性滤波 被动定位 anti-radiation UAV,UKF, nonlinear filter,passive localization
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  • 1董志荣.舰艇指控系统的理论基础[M].北京:国防工业出版社,1995..
  • 2卢晓林 刘忠 卢发兴.一种拟线性的目标方位预测算法.海军工程大学学报,2001,.
  • 3Rudolph van der Merwe,Arnaud Doucet,Nando de Freitas,et a1.The unscented particle filter[R].CUED/F—INFENG/TR 380,2000.
  • 4Zhou Di,Mu Chundi,Xu Wenli.Adaptive two—step filter with applications to bearings—only measurement problem[J].Journal of Guidance,1999,22(5):726—728.
  • 5Neil John Gordon,Davil John Salmond,Smith A F M.Novel approach to nonlinear/non—Gaussian Bayesian state estimation[J].IEE Proceedings—F,1993.140(2):107-113.
  • 6Eric Wan,Rudolph van der Merwe.Kalman filtering and neural networks[D].Wiley Publishing,2001.
  • 7Wan E A, van der Merwe R. The unscented kalman filter for nonlinear estimation [C]. Proc. of IEEE Symposium 2000 (AS-SPCC), Lake Louise, Alberta, Canada, Oct. 2000.
  • 8van der Merwe R, Wan E A R. The square-root unscented kalman filter for state and parameter-estimation[C]. International Conference on Acoustics,Speech, and Signal Processing 2001, Salt Lake City, Utah, May, 2001.
  • 9Julier S J, Uhlmann J K. A new extension of the Kalman filter to nonlinear systems [C]. Proc. of AeroSense: The 11 th Int. Symp. on Aerospace/Defence Sensing, Simulation and Controls, 1997.
  • 10Greg Welch,Gary Bishop.An Introduction to the Kalman Filter[R].UNC-Chapel Hill,TR 95-041,April 5,2004.

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