首页> 外文会议>International Conference on Information Fusion >Filter Initialization and Batch Estimation for Tracking with Angular-Only Measurements
【24h】

Filter Initialization and Batch Estimation for Tracking with Angular-Only Measurements

机译:过滤初始化和批量估计,用于跟踪仅取志测量

获取原文

摘要

The task of tracking objects with angular-only measurements imposes an interesting estimation problem due to the fact that range information is not obtainable when the sensor is mounted on a non-maneuvering platform and the tracked object itself is moving as well. Here, the use of log-spherical state variables within an extended Kalman filter is a wellestablished approach to tackle the problem. This paper focusses on the initialization of such a filter. A suitable (approximate) prior for the non-observed quantities is derived aiming for an initialization with a single measurement pair of bearing and elevation. Alternatively, filter initialization can be performed by applying a batch estimator using several such measurement pairs. One possible estimator of this kind is also presented. Simulation results using both schemes are provided.
机译:由于当传感器安装在非操纵平台上并且跟踪对象本身也在移动时,跟踪具有角度测量的对象的跟踪对象的任务施加了有趣的估计问题。这里,在扩展卡尔曼滤波器中使用逻辑球形状态变量是一种合成的方法来解决问题。本文侧重于这种过滤器的初始化。用于未观察到的数量之前的合适(近似)旨在旨在用单个测量对轴承和高度进行初始化。或者,可以通过使用若干这样的测量对应用批量估计器来执行滤波器初始化。还提出了这种可能的一种可能的估计器。提供了两种方案的仿真结果。

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