Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-25T06:15:09.351Z Has data issue: false hasContentIssue false
  • English
  • Français

TDOA estimation using a pair of synchronized anchor nodes

Published online by Cambridge University Press:  08 April 2019

Vitomir Djaja-Josko Open the ORCID record for Vitomir Djaja-Josko [Opens in a new window] ,
Jerzy Kolakowski  and
Jozef Modelski
Vitomir Djaja-Josko*
Affiliation:
Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland
Jerzy Kolakowski
Affiliation:
Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland
Jozef Modelski
Affiliation:
Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland
*
Author for correspondence: V. Djaja-Josko, E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Nowadays, as indoor localization is getting more popular, there is a growing need for reliable and accurate techniques of position determination. Recently, ultrawideband (UWB)-based systems are gaining popularity, since they make achieving positioning errors in the range of dozens of centimeters or even single centimeters, possible. The Time Difference of Arrival (TDOA)-based systems are especially attractive because they allow to simplify tags, in which functionality can be limited to transmission of packets. However, one of TDOA-based solution drawbacks is a need for strict synchronization between anchor nodes, which may be hard to provide in indoor environment. In the paper, a novel method for simplifying synchronization in TDOA-based UWB localization system is described. The paper presents two system architectures based on pairs of synchronized nodes. Results of simulations and experiments included in the article allow for evaluation of both solutions.

Keywords

RFID and sensorssystem applications and standardsultrawideband
Type
MIKON 2018
Information
International Journal of Microwave and Wireless Technologies , Volume 11 , Special Issue 7: MIKON 2018 / EuMW 2018 (Part II) , September 2019 , pp. 593 - 601
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2019 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Fontana, RJ and Gunderson, SJ (2002) Ultra-wideband precision asset location system, in IEEE Conf. Ultra Wideband Systems and Technologies, Baltimore, MD, 147–150.Google Scholar
2.Zebra Technologies (2016) Available at https://www.zebra.com.Google Scholar
3.Ubisense (2015) Available at http://ubisense.net/en.Google Scholar
4.Badawika, A and Kolakowski, J (2014) UWB positioning system architecture based on paired anchor nodes, in Proc. 22nd Int. Conf. on Microwaves, Radar and Wireless Communications MIKON, Gdansk, 1–4.Google Scholar
5.Djaja-Jośko, V, Kołakowski, J and Modelski, J (2018) TDOA estimation using a pair of synchronized DW 1000 based anchor nodes, in Proc. 20th Int. Conf. on Microwaves, Radar and Wireless Communications MIKON, Poznan, 59–62.Google Scholar
6.McElroy, C, Neirynck, D and McLaughlin, M (2014) Comparison of wireless clock synchronisation algorithms for indoor localisation systems, in Proc. Communications Workshop Conf., Sydney, NSW, 157–162.Google Scholar
7.Hamaguchi, H and Kohno, R (2008) Development of experimental TDOA system test-bed for indoor applications, in Proc. 2008 IEEE Int. Conf. Ultra-wideband, vol. 3, Hannover, 201–204.Google Scholar
8.Matsumoto, H, Kusano, H, Morokuma, T and Sakamura, K (2011) Numerical and experimental investigation of TDOA-based positioning system by ultra-wideband impulse radio, in Proc. Wireless Sensors and Sensor Networks Conf., Phoenix, AZ, 25–28.Google Scholar
9.Lee, JX, Lin, ZW, Chin, PS and Law, CL (2011) Non-synchronised time difference of arrival localisation scheme with time drift compensation capability, in IET Communications, vol. 5, 693–699.Google Scholar
10.Irahhauten, Z, Nikookar, H and Klepper, M (2012) 2D UWB localization in indoor multipath environment using a join ToA/DoA technique, in Proc. of Wireless Communications and Networking Conf., Shanghai, 2253–2257.Google Scholar
11.Zheng, J and Wu, Y-C (2019) Joint time synchronization and localization of an unknown node in wireless sensor networks. IEEE Trans. Signal Process 58, 1309–1320.Google Scholar
12.Zhu, S and Ding, Z (2010) Joint synchronization and localization using TOAs: a linearization based WLS solution. IEEE Journal on Selected Areas in Communications 28, 1016–1025.Google Scholar
13.Xiao, Y, Wang, Z, Li, J and Zhang, H (2014) An UWB synchronization algorithm based on two-stage enveloping, in 2014 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Guilin, 312–315.Google Scholar
14.Xie, Y, Janssen, GJM and van der Veen, A (2016) A practical clock synchronization algorithm for UWB positioning systems, in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, 3891–3895.Google Scholar
15.802.15.4a-2007 – IEEE Standard for Information Technology – Telecommunications and Information Exchange Between Systems – Local and Metropolitan Area Networks - Specific Requirement Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (WPANs).Google Scholar
16.DW1000 User Manual (2017) DecaWave Ltd, Dublin. Available at https://www.decawave.com/support.Google Scholar
17.802.15.4–2011 – IEEE Standard for Local and metropolitan area networks – Part 15.4: Low-Rate Wireless Personal Area Networks (LR-WPANs).Google Scholar