A location and tracking algorithm based on BP neural network with NLOS propagation

Author

Yongyi, Mao ; Kanglei, Zhou

Author_Institution

Xi´´an Inst. of Posts & Telecommun., Xi´´an, China

fYear

2009

fDate

10-11 Oct. 2009

Firstpage

396

Lastpage

399

Abstract

In this paper we proposed a location and tracking algorithm with non-line of sight (NLOS) errors for mobile station (MS). The algorithm is able to correct the NLOS errors using the Back Propagation (BP) neural network on TDOA measurements, and the positions of MS can be estimated by the Chan´s algorithm. Furthermore, cooperating the correlation detection gate, the MS is tracked by the algorithm. Simulations results show that the proposed algorithm could be efficiently locate the MS not only in the static state but also in the dynamic state.

Keywords

backpropagation; cellular radio; correlation methods; neural nets; telecommunication computing; time-of-arrival estimation; tracking; BP neural network; Chan algorithm; NLOS propagation; TDOA measurement; correlation detection gate; mobile station; nonline-of-sight error; time difference-of-arrive; wireless cellular location-tracking algorithm; Base stations; Communications technology; Error correction; Feedforward neural networks; Feeds; Mobile communication; Neural networks; Neurons; Position measurement; Transfer functions; NLOS; Neural network; Tracking Algorithm; Wireless Location;

fLanguage

English

Publisher

ieee

Conference_Titel

Cyber-Enabled Distributed Computing and Knowledge Discovery, 2009. CyberC '09. International Conference on

Conference_Location

Zhangijajie

Print_ISBN

978-1-4244-5218-7

Electronic_ISBN

978-1-4244-5219-4

Type

conf

DOI

10.1109/CYBERC.2009.5342192

Filename

5342192