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

• Main Authors: Li Cong, Haidong Wang, Honglei Qin, Luqi Liu
• Format: Article
• Language: English
• Published: MDPI AG 2018-12-01
• Series: Sensors
• Subjects: Global Positioning System; Digital Terrestrial Multimedia Broadcast; frequency modulation; environmentally adaptive; Fuzzy Inference System; Extended Kalman Filter
• Online Access: https://www.mdpi.com/1424-8220/18/12/4292

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 <inline-formula> <math display="inline"> <semantics> <mrow> <mn>68.21</mn> <mo>%</mo> </mrow> </semantics> </math> </inline-formula> and <inline-formula> <math display="inline"> <semantics> <mrow> <mn>21.27</mn> <mo>%</mo> </mrow> </semantics> </math> </inline-formula> with the proposed method, respectively.