首页> 外文会议>IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference >A hybrid TOA/AOA positioning method based on GDOP-weighted fusion and its Accuracy Analysis
【24h】

A hybrid TOA/AOA positioning method based on GDOP-weighted fusion and its Accuracy Analysis

机译:基于GDOP加权融合的TOA / AOA混合定位方法及其精度分析

获取原文

摘要

Whereas the existing TOA/AOA positioning algorithm based on wireless sensor network fails to consider position error of anchor node(AN) so as to affect the positioning accuracy, this paper proposes a hybrid TOA/AOA positioning algorithm based on GDOP-weighted fusion (G--TOA/AOA). The paper deduces Geometric Dilution of Precision (GDOP) of TOA/AOA positioning method based on single node (S-TOA/AOA). G-TOA/AOA algorithm utilizes GDOP of S-TOA/AOA to give corresponding weight to various rough estimates of blind node(BN), and weighted merge all rough estimates as position estimate of BN. Meanwhile, the paper deduces GDOP calculation formula of G-TOA/AOA algorithm. In the two different types of distribution situation of ANs, the paper analyzes the positioning accuracy of G-TOA/AOA algorithm. Simulation results show that positioning accuracy of G-TOA/AOA algorithm is superior to average weighted positioning algorithm and the positioning performance of G-TOA/AOA algorithm is better when ANs are in non-collinear distribution situation.
机译:而基于无线传感器网络的现有TOA / AOA定位算法无法考虑锚节节点(A)的位置误差,以便影响定位精度,提出了一种基于GDOP加权融合的混合TOA / AOA定位算法(G --to / aoa)。该纸张基于单节点(S-TOA / AOA)推出了TOA / AOA定位方法的精密(GDOP)的几何稀释。 G-TOA / AOA算法利用S-TOA / AOA的GDOP,给出对盲节节点(BN)的各种粗略估计的相应权重,并且加权将所有粗略估计作为BN的位置估计。同时,该纸张推出了G-TOA / AOA算法的GDOP计算公式。在两种不同类型的ANS分配情况下,本文分析了G-TOA / AOA算法的定位精度。仿真结果表明,G-TOA / AOA算法的定位精度优于平均加权定位算法,当ANS处于非共线分配情况时,G-TOA / AOA算法的定位性能更好。

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