IMU and Bluetooth Data Fusion to Achieve Submeter Position Accuracy in Indoor Positioning

ACAR U.

Photogrammetric Engineering and Remote Sensing, vol.89, no.12, pp.735-740, 2023 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 89 Issue: 12
  • Publication Date: 2023
  • Doi Number: 10.14358/pers.23-00034r2
  • Journal Name: Photogrammetric Engineering and Remote Sensing
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Aerospace Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Communication Abstracts, Compendex, Computer & Applied Sciences, Environment Index, Metadex, Pollution Abstracts, DIALNET, Civil Engineering Abstracts
  • Page Numbers: pp.735-740
  • Yıldız Technical University Affiliated: Yes

Abstract

Indoor navigation applications have become widespread in recent years with the ability of mobile phones which determine the position. Due to the inefficiency of global positioning system (GPS) indoors, other positioning methods have been developed based on local networks using technologies such as Bluetooth, wireless networks, ultra-wideband signals, ultrasonic signals, and radio frequency identification modules. Various technologies yield high or medium accuracy. Combining data from multiple sources via fusion enhances location precision. In this study, indoor positions were estimated using trilat-eration with Bluetooth devices, and the accuracy was improved by ap-plying filters to the data from inertial measurement unit (IMU) sensors on the phone. As a result of combining Bluetooth and IMU data with data fusion, submeter accuracy was achieved. The results obtained were tested at Yildiz Technical University-Istanbul Türkiye. It was determined that 92% of the data was obtained with submeter accuracy.