CFP last date
22 April 2024
Reseach Article

An Indoor Ultrasonic Positioning System with Fast TOA Approach in Distance Space

by Dawei Cai
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 17
Year of Publication: 2018
Authors: Dawei Cai
10.5120/ijca2018917868

Dawei Cai . An Indoor Ultrasonic Positioning System with Fast TOA Approach in Distance Space. International Journal of Computer Applications. 182, 17 ( Sep 2018), 1-6. DOI=10.5120/ijca2018917868

@article{ 10.5120/ijca2018917868,
author = { Dawei Cai },
title = { An Indoor Ultrasonic Positioning System with Fast TOA Approach in Distance Space },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2018 },
volume = { 182 },
number = { 17 },
month = { Sep },
year = { 2018 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number17/29951-2018917868/ },
doi = { 10.5120/ijca2018917868 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:11:39.353164+05:30
%A Dawei Cai
%T An Indoor Ultrasonic Positioning System with Fast TOA Approach in Distance Space
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 17
%P 1-6
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the rapid increase in guide services by smartphone or mobile terminal, demand for positioning has increased especially in complex indoor environment which often needs to determine the location information of the mobile terminal. In order to provide indoor positioning for real-time guide service that is on a mobile terminal platform, a new indoor positioning approach is proposed in this paper. We introduced a new concept of distance space and proposed a hybrid computation architecture which is divided into offline computation and online computation, to obtain a good realtime performance with less computation time. Here, an offline processing that may be complex computation will produce a numerical DB for a specified spot area, and an online computation with very simple computation is only for detecting the spot area. The offline computation is carried out in a high performance personal computer environment, and the DB data result is sent to NAND memory in a mobile terminal for online use. The online computation that will not cost much computation resource is run in an embedded platform that may have less computation ability. The simulation experimental results demonstrates that the detecting error is only within 5cm and the computation speed was improved greatly.

References
  1. C. Huang, H. Manh, RSS-based indoor positioning based on multi-dimensional kernel modeling and weighted average tracking,IEEE Sensors Journal, Vol.16, No.9, pp.3231-3245, 2016
  2. S. Murata, C. Yara, K. Kaneta, S. Ioroi, H. Tanaka, Accurate indoor positioning system using near-ultrasonic sound from a smartphone , Proceedings of the 8th International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST ’14), pp.13-18, September 2014
  3. A. De Angelis, A. Moschitta, P. Carbone et al., Design and characterization of a portable ultrasonic indoor 3-d positioning system, IEEE Transactions on Instrumentation and Measurement, Vol.64, No.10, pp.2616-2625, 2015
  4. Dawei Cai, Yuji Saito and Yoshihiko Abe, An Information Broadcasting System with Infrared data Communication Protocol , WSEAS Trans. on Communication, Vol.2(3), 228- 234, 2003
  5. P. Cotera, M. Velazquez, D. Cruz, L. Medina, M. Bandala, Indoor robot positioning using an enhanced trilateration algorithm, International Journal of Advanced Robotic Systems, Vol. 13, No.3, p.110, 2016
  6. Dawei Cai, Realization of Autonomous Guidance Service by Integrating Information from NFC and MEMS, Proceedings of International Conference on Software Design Engineering, 2014
  7. E. Laitinen, E. S. Lohan, On the choice of access point selection criterion and other position estimation characteristics for WLAN-based indoor positioning, Sensors, Vol.16, No.5, p.737, 2016
  8. J. Rapinski and S. Cellmer, Analysis of range based indoor positioning techniques for personal communication networks, Mobile Networks and Applications, Vol. 21, No. 3, p.539- 549, 2016
  9. P. Cotera, M. Velazquez, D. Cruz, L. Medina, and M. Bandala, Indoor robot positioning using an enhanced trilateration algorithm, International Journal of Advanced Robotic Systems, Vol.13, No.3, p.110, 2016
  10. T. Haute, E. Poorter, P. Crombez et al., Performance analysis of multiple Indoor Positioning Systems in a healthcare environment, International Journal of Health Geographics, Vol.15, article 7, 2016
  11. A. De Angelis, A. Moschitta, P. Carbone et al., Design and characterization of a portable ultrasonic indoor 3-d positioning system, IEEE Transactions on Instrumentation and Measurement, Vol.64, No.10, p.2616-2625, 2015.
Index Terms

Computer Science
Information Sciences

Keywords

Indoor Positioning TOA Space Mapping Indoor Ultrasonic Positioning System Smart Tourist Guide