• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>CIE(Chinese Institute of Electronics) International Conference on Radar; 20061016-19; Shanghai(CN) >A Study of Kalman-Based Algorithm for the Maneuvering Group-Target Tracking
【24h】

A Study of Kalman-Based Algorithm for the Maneuvering Group-Target Tracking

机译：基于卡尔曼的机动群目标跟踪算法研究

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

When many targets are maneuvering in formation, and the space span among them is smaller than the resolution of the radar, so there are many echoes appearing in the tracking gate. Then the radar can't distinguish which is the target to be tracking. A new concept of group-target is proposed in order to solve this maneuvering targets tracking problem in the view of maneuvering target tracking. Firstly, a ratio between the normalizing norm of the surplus error vector of the Kalman filter and the tracking threshold is found, applying the current statistic model of the maneuvering target. Secondly, the weight of each echo in the tracking gate is computed. Thirdly, a new method is put forward to find the equivalent echo of the group-target and its statistic centroid. Finally, a new equation of the maneuvering group-target tracking is made, using the Kalman filter. Though comparing and analyzing, the result shows the advantages of this method in alleviating the computational complexity and in favor of engineering.
机译：当有许多目标在编队操纵时，它们之间的空间跨度小于雷达的分辨率，因此在跟踪门中会出现许多回波。然后，雷达无法区分哪个是要跟踪的目标。为了解决机动目标跟踪问题，提出了一种新的群目标概念。首先，应用当前的机动目标统计模型，求出卡尔曼滤波器剩余误差向量的归一范数与跟踪阈值的比值。其次，计算跟踪门中每个回波的权重。第三，提出了一种寻找群目标及其统计质心等效回波的新方法。最后，使用卡尔曼滤波器，建立了机动目标跟踪的新方程。通过比较和分析，结果表明该方法在减轻计算复杂度和有利于工程设计方面具有优势。

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