DocumentCode
1647370
Title
A UWB Positioning Scheme Based on BP Neural Network in NLOS Environment
Author
Wang Xiuzhen
Author_Institution
Sch. of Comput. Sci., Zaozhuang Univ., Zaozhuang, China
fYear
2011
Firstpage
1
Lastpage
3
Abstract
Ultra-wideband can provide precision location due to the high time resolution properties. When the direct LOS between two nodes blocked by the obstacles in indoor positioning environments. The NLOS in TOA estimation may lead to immense error in positioning. A new method using neural network was employed to mitigate the NLOS effect in UWB positioning scheme. Simulations show it works well.
Keywords
Global Positioning System; backpropagation; neural nets; telecommunication computing; time-of-arrival estimation; ultra wideband communication; BP neural network; NLOS environment; TOA estimation; UWB positioning scheme; indoor positioning environments; Accuracy; Biological neural networks; Educational institutions; Estimation; Nonlinear optics; Position measurement; Time of arrival estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
Conference_Location
Wuhan
ISSN
2161-9646
Print_ISBN
978-1-4244-6250-6
Type
conf
DOI
10.1109/wicom.2011.6040245
Filename
6040245
Link To Document