Next Article in Journal
Polymer Optical Fiber Goniometer: A New Portable, Low Cost and Reliable Sensor for Joint Analysis
Previous Article in Journal
The Identification of Seven Chemical Warfare Mimics Using a Colorimetric Array
Article Menu

Export Article

Open AccessArticle
Sensors 2018, 18(12), 4292; https://doi.org/10.3390/s18124292

An Environmentally-Adaptive Positioning Method Based on Integration of GPS/DTMB/FM

1
School of Electronic and Information Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing 100191, China
2
Didi Chuxing Technology Co., Building B1&B2, Digital Valley, Zhongguancun Software Park, Compound 8, Dongbeiwang Road, Haidian District, Beijing 100000, China
*
Author to whom correspondence should be addressed.
Received: 24 October 2018 / Revised: 24 November 2018 / Accepted: 26 November 2018 / Published: 6 December 2018
(This article belongs to the Section Remote Sensors)
Full-Text   |   PDF [16902 KB, uploaded 6 December 2018]   |  

Abstract

The Global Positioning System (GPS) yields good precision and availability in open outdoor environment. However, the errors of GPS may suffer degradation in some complex environments, such as forests and urban canyons. To solve this problem, a new positioning method is designed integrating GPS, Digital Terrestrial Multimedia Broadcast (DTMB) and frequency-modulated (FM) radio signal. In this method, the DTMB transmitter acts as a pseudo-satellite to assist GPS positioning. Furthermore, the FM fingerprint positioning is used to correct the positioning bias. An adaptive selection scheme is proposed to provide an optimal integration mode of the sensors. Field experiments in complex environment were carried out for evaluation. Comparing to the GPS-only and GPS + DTMB approach, positioning accuracy was improved by at least 68.21 % and 21.27 % with the proposed method, respectively. View Full-Text
Keywords: Global Positioning System; Digital Terrestrial Multimedia Broadcast; frequency modulation; environmentally adaptive; Fuzzy Inference System; Extended Kalman Filter Global Positioning System; Digital Terrestrial Multimedia Broadcast; frequency modulation; environmentally adaptive; Fuzzy Inference System; Extended Kalman Filter
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

Share & Cite This Article

MDPI and ACS Style

Cong, L.; Wang, H.; Qin, H.; Liu, L. An Environmentally-Adaptive Positioning Method Based on Integration of GPS/DTMB/FM. Sensors 2018, 18, 4292.

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]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top