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Vol. 156, Issue 9, September 2013, pp. 345-350

 

Bullet

 

A NLOS Localization Algorithm Based on BPNN
 
1 Bi Zeng, 1 Xiao Hu Chen, 2* Jian Qi Liu, 2 Xiao Hua Han

1 School of Computer, Guangdong University of Technology, Guangzhou, Guangdong, 510006, China

2 School of Information Engineering, Guangdong Jidian Polytechnic Guangzhou, Guangdong, 510515, China
E-mail: 409980812@qq.cn, z9215@163.com, liujianqi@ieee.org

 

Received: 1 July 2013   /Accepted: 25 August 2013   /Published: 30 September 2013

Digital Sensors and Sensor Sysstems

 

Abstract: Artificial neural network (ANN) is a humanly constructed network which is based on the human brain neural network. BP neutral network (BPNN), as a typical forward ANN, can approximate any nonlinear continuous rational function. In this paper we use the BPNN to modify the Non-Line-of-Sight (NLOS) Time Difference of Arrival (TDOA) measurement value to make it closer to the Line-of-Sight (LOS) measurement value. Then we use the Chan algorithm to estimate the Mobile Station (MS) position in order to obtain higher localization accuracy. The experimental results show that the positioning accuracy has a more positive improvement in the adjusted BPNN algorithm.

 

Keywords: ANN, BPNN, TDOA, NLOS, Chan algorithm.

 

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