Literature DB >> 34372415

A Practice of BLE RSSI Measurement for Indoor Positioning.

Ramiro Ramirez1, Chien-Yi Huang1, Che-An Liao2, Po-Ting Lin2,3, Hsin-Wei Lin2, Shu-Hao Liang3.   

Abstract

Bluetooth Low Energy (BLE) is one of the RF-based technologies that has been utilizing Received Signal Strength Indicators (RSSI) in indoor position location systems (IPS) for decades. Its recent signal stability and propagation distance improvement inspired us to conduct this project. Beacons and scanners used two Bluetooth specifications, BLE 5.0 and 4.2, for experimentations. The measurement paradigm consisted of three segments, RSSI-distance conversion, multi-beacon in-plane, and diverse directional measurement. The analysis methods applied to process the data for precise positioning included the Signal propagation model, Trilateration, Modification coefficient, and Kalman filter. As the experiment results showed, the positioning accuracy could reach 10 cm when the beacons and scanners were at the same horizontal plane in a less-noisy environment. Nevertheless, the positioning accuracy dropped to a meter-scale accuracy when the measurements were executed in a three-dimensional configuration and complex environment. According to the analysis results, the BLE wireless signal strength is susceptible to interference in the manufacturing environment but still workable on certain occasions. In addition, the Bluetooth 5.0 specifications seem more promising in bringing brightness to RTLS applications in the future, due to its higher signal stability and better performance in lower interference environments.

Entities:  

Keywords:  BLE; IPS; Kalman filter; RSSI; modification coefficient; trilateration

Year:  2021        PMID: 34372415     DOI: 10.3390/s21155181

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  3 in total

1.  Evaluation and Comparison of Ultrasonic and UWB Technology for Indoor Localization in an Industrial Environment.

Authors:  Amalia Lelia Crețu-Sîrcu; Henrik Schiøler; Jens Peter Cederholm; Ion Sîrcu; Allan Schjørring; Ignacio Rodriguez Larrad; Gilberto Berardinelli; Ole Madsen
Journal:  Sensors (Basel)       Date:  2022-04-11       Impact factor: 3.847

2.  Graph Optimization Model Fusing BLE Ranging with Wi-Fi Fingerprint for Indoor Positioning.

Authors:  Rong Zhou; Puchun Chen; Jing Teng; Fengying Meng
Journal:  Sensors (Basel)       Date:  2022-05-26       Impact factor: 3.847

3.  Design and Implementation of an Indoor Warning System with Physiological Signal Monitoring for People Isolated at Home.

Authors:  Chi-Huang Hung; Yong-Yi Fanjiang; Yi-Shiune Lee; Yi-Chao Wu
Journal:  Sensors (Basel)       Date:  2022-01-13       Impact factor: 3.576

  3 in total

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