Title :
A UWB Positioning Scheme Based on BP Neural Network in NLOS Environment
Author_Institution :
Sch. of Comput. Sci., Zaozhuang Univ., Zaozhuang, China
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;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6250-6
DOI :
10.1109/wicom.2011.6040245
