›› 2014, Vol. 27 ›› Issue (5): 161-.

• Articles • Previous Articles     Next Articles

UWB Indoor Precise Positioning Algorithm Based on Multilayer Neural Network

SHEN Dongdong,LI Xiaowei,SONG Xuwen,HE Zhinan   

  1. (School of Electronic Engineering,Xidian University,Xi'an 710071,China)
  • Online:2014-05-15 Published:2014-05-14


This paper selects the IEEE802.15 channel model proposed by IEEE802.15 channel model working group for the UWB indoor positioning.The time difference of arrival (TDOA) and angle of arrival (AOA) hybrid algorithm improved by utilizing multi-layer neural network technology based on the study of the conventional indoor positioning algorithm.The positioning accuracy is analyzed by simulation.The simulation results show the positioning accuracy is considerably improved.

Key words: UWB;channel model;indoor localization;multi-layer neural network;TDOA;AOA

CLC Number: 

  • TN92