首页> 外文期刊>International Journal of Distributed Sensor Networks >Robust TDOA Localization Algorithm for Asynchronous Wireless Sensor Networks
【24h】

Robust TDOA Localization Algorithm for Asynchronous Wireless Sensor Networks

机译:异步无线传感器网络的鲁棒TDOA定位算法

获取原文
           

摘要

This paper presents a tag localization algorithm based on the time-difference-of-arrival (TDOA) of mobile tag signal for asynchronous wireless sensor network (WSN) withNanchors (nodes with known locations) and a large number of mobile tags. To obtain time synchronization, all anchors broadcast signals periodically; relative clock offsets and skews of anchor pairs are estimated by the least-square (LS) method using the times-of-arrival (TOAs) of broadcast signals at anchors. When a tag transmits signal, the TOA of tag signal at each anchor is stamped and errors in original TDOAs of tag signal due to relative clock offsets and skews of anchor pairs are eliminated. Based on Gaussian noise model, maximum likelihood estimation (MLE) for the tag position is obtained. Performance issues are addressed by evaluating the Cramér-Rao lower bound of synchronization and localization algorithms. Since the tag can be located via a single transmission, least power consumption of tag is required, and large number of tags can be served in WSN. The proposed algorithm is simple and effective, with performance close to that of synchronous TDOA algorithm.
机译:本文提出了一种基于移动标签信号到达时间差(TDOA)的标签定位算法,用于带有锚点(节点已知的节点)和大量移动标签的异步无线传感器网络(WSN)。为了获得时间同步,所有锚点都定期广播信号。锚点对的相对时钟偏移和偏斜通过最小二乘(LS)方法使用锚点广播信号的到达时间(TOA)进行估算。当标签发送信号时,每个锚点处的标签信号的TOA都会被标记,从而消除了由于锚点对的相对时钟偏移和偏斜导致的标签信号原始TDOA中的错误。基于高斯噪声模型,获得标签位置的最大似然估计(MLE)。通过评估Cramér-Rao同步和定位算法的下限来解决性能问题。由于可以通过一次传输来定位标签,因此标签的功耗最低,并且可以在WSN中提供大量标签。该算法简单有效,性能接近于同步TDOA算法。

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