DocumentCode
2271494
Title
Research on hybrid location algorithm with high accuracy in indoor environment
Author
Lan, Zhang ; Feng, Chen ; Yao, Yu
Author_Institution
University of Science and Technology Beijing, Beijing 100083
fYear
2015
fDate
28-30 July 2015
Firstpage
8764
Lastpage
8767
Abstract
An improved hybrid algorithm is developed for the accurate indoor location to eliminate the noise deviation and NLOS (nonline-of-sight) bias. The measured data of residuals are used for the identification of the node paths. The wavelet threshold de-noising method is adapted for the node of LOS (line-of-sight) path to eliminate the noise deviation, and the Wylie method is used for the node of NLOS path to eliminate the NLOS bias. Simulation results show that the accuracy of the indoor location is improved by using the hybrid location algorithm.
Keywords
Accuracy; Distance measurement; Noise; Noise reduction; Reconstruction algorithms; Simulation; Standards; UWB; indoor wireless location; location accuracy;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2015 34th Chinese
Conference_Location
Hangzhou, China
Type
conf
DOI
10.1109/ChiCC.2015.7261024
Filename
7261024
Link To Document