...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE sensors journal >Measurement Error Observer-Based IMM Filtering for Mobile Node Localization Using WLAN RSSI Measurement
【24h】

Measurement Error Observer-Based IMM Filtering for Mobile Node Localization Using WLAN RSSI Measurement

机译：基于测量误差观测器的IMM过滤，用于使用WLAN RSSI测量进行移动节点定位

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 paper proposes a mobile node (MN) localization technique using received signal strength indicator (RSSI) data of wireless local area network. Range-domain measurement converted from the raw RSSI data can be used for localizing the MN. In indoor environments, however, the measurements may contain large errors caused by wall penetrating line-of sight (LOS) signals and non-LOS signals. The measurement errors cause large localization error. In this paper, a measurement error observer (MEO) is newly developed to mitigate the localization error. In addition, the MEO is integrated with an interacting multiple model (IMM) filter to take the flexible dynamic model of the MN into consideration. The purpose of the developed MEO-based IMM filter is to decouple the measurement errors from the localization and to adapt the filter for the flexible dynamics of the MN. Through comparative simulation and experimental tests, the performance of the developed filter is evaluated.
机译：本文提出了一种使用无线局域网的接收信号强度指示符（RSSI）数据的移动节点（MN）定位技术。从原始RSSI数据转换而来的范围域测量可用于本地化MN。但是，在室内环境中，测量结果可能包含较大的误差，这些误差是由穿透墙壁的视线（LOS）信号和非LOS信号引起的。测量误差会导致较大的定位误差。在本文中，新开发了一种测量误差观测器（MEO）以减轻定位误差。另外，MEO与交互多模型（IMM）过滤器集成在一起，以考虑MN的灵活动态模型。开发基于MEO的IMM滤波器的目的是将测量误差与定位分离，并使滤波器适应MN的灵活动态。通过比较仿真和实验测试，评估了开发的滤波器的性能。

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