Next Article in Journal / Special Issue
Analyzing the Relationship between Human Behavior and Indoor Air Quality
Previous Article in Journal / Special Issue
A Review of Smart House Analysis Methods for Assisting Older People Living Alone
Article Menu

Export Article

Open AccessArticle
J. Sens. Actuator Netw. 2017, 6(3), 12; doi:10.3390/jsan6030012

Improvement of Ultrasound-Based Localization System Using Sine Wave Detector and CAN Network

Department of Automatic Control, Ho Chi Minh City University of Technology, Ho Chi Minh 70000, Vietnam
*
Author to whom correspondence should be addressed.
Received: 5 June 2017 / Revised: 9 July 2017 / Accepted: 18 July 2017 / Published: 31 July 2017
(This article belongs to the Special Issue Smart Homes: Current Status and Future Possibilities)
View Full-Text   |   Download PDF [15688 KB, uploaded 31 July 2017]   |  

Abstract

This paper presents an improved indoor localization system based on radio frequency (RF) and ultrasonic signals, which we named the SNSH system. This system is composed of a transmitter mounted in a mobile target and a series of receiver nodes that are managed by a coordinator. By measuring the Time Delay of Arrival (TDoA) of RF and ultrasonic signals from the transmitter, the distance from the target to each receiver node is calculated and sent to the coordinator through the CAN network, then all the information is gathered in a PC to estimate the 3D position of the target. A sine wave detector and dynamic threshold filter are applied to provide excellent accuracy in measuring the range from the TDoA results before multilateration algorithms are realized to optimize the accuracy of coordinate determination. Specifically, Linear Least Square (LLS) and Nonlinear Least Square (NLS) techniques are implemented to contrast their performances in target coordinate estimation. RF signal encoding/decoding time, time delay in CAN network and math calculation time are carefully considered to ensure optimal system performance and prepare for field application. Experiments show that the sine wave detector algorithm has greatly improved the accuracy of range measurement, with a mean error of 2.2 mm and maximum error of 6.7 mm for distances below 5 m. In addition, 3D position accuracy is greatly enhanced by multilateration methods, with the mean error in position remaining under 15 mm. Furthermore, there are 90% confidence error values of 23 mm for LLS and 20 mm for NLS. The update in the overall system has been verified in real system operations, with a maximum rate of 25 ms, which is a better result than many other existing studies. View Full-Text
Keywords: indoor localization; multilateration; sine wave detector; time different of arrival; CAN network; Least Squares method indoor localization; multilateration; sine wave detector; time different of arrival; CAN network; Least Squares method
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Nguyen, T.-S.; Nguyen, T.-N.; Tran, Q.-S.; Huynh, T.-H. Improvement of Ultrasound-Based Localization System Using Sine Wave Detector and CAN Network. J. Sens. Actuator Netw. 2017, 6, 12.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
J. Sens. Actuator Netw. EISSN 2224-2708 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top