• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Radar, Sonar & Navigation, IET >Linear recursive passive target tracking filter for cooperative sea-skimming anti-ship missiles
【24h】

Linear recursive passive target tracking filter for cooperative sea-skimming anti-ship missiles

机译：协作式掠海反舰导弹的线性递归无源目标跟踪滤波器

获取原文
获取原文并翻译 | 示例
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This study addresses the passive target tracking problem using the range difference (RD) information measured by sea-skimming anti-ship missiles. Apart from the conventional non-linear filtering approaches, the RD-based passive target tracking problem is newly formulated within the framework of the recently developed non-conservative robust Kalman filter (NCRKF). By applying NCRKF, the authors are able to cope with the performance degradation in the process of adopting linear measurement model as well as to determine the desirable missile formation in view of target tracking performance. Moreover, the proposed filter might be adequate for the real-time multiple-missile applications for its linear recursive structure. Through the simulations for a typical missile homing scenario, it is shown that the proposed scheme could provide faster convergence rate and better target tracking performance than the previous methods.
机译：这项研究使用了由掠海反舰导弹测得的距离差（RD）信息来解决被动目标跟踪问题。除了常规的非线性滤波方法外，在最近开发的非保守鲁棒卡尔曼滤波器（NCRKF）的框架内，新提出了基于RD的被动目标跟踪问题。通过应用NCRKF，作者可以应对采用线性测量模型的过程中的性能下降，并可以根据目标跟踪性能确定理想的导弹编队。此外，所提出的滤波器的线性递归结构可能适合于实时多导弹应用。通过对典型导弹寻的场景的仿真，结果表明，与以往方法相比，该方案具有更快的收敛速度和更好的目标跟踪性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号