首页> 美国政府科技报告 >An Application of Nonlinear Filtering Theory to Passive Target Locaton and Tracking.
【24h】

An Application of Nonlinear Filtering Theory to Passive Target Locaton and Tracking.

机译:非线性滤波理论在被动目标定位跟踪中的应用。

获取原文

摘要

The technique of Extended Kalman filtering is applied to a passive single sensor location and tracking problem. Signal angle of arrival and doppler shifted frequency are used as observations for two different filter formulations:one for fixed X-Y coordinates of position and velocity and one with an orthogonal system rotated to align an axis with the target heading. The fixed X-Y system was found to give better tracking performance on the Monte Carlo simulation. A new method of calculating the initial covariance matrix was extended to reformulate the Kalman filter equations for a nonlinear problem. (Modified author abstract)

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