Evidence map›Paper›PMID 34372415›Full record

ArticleSensors (Basel, Switzerland)2021

A Practice of BLE RSSI Measurement for Indoor Positioning.

Ramiro Ramirez, Chien-Yi Huang, Che-An Liao, Po-Ting Lin, Hsin-Wei Lin, Shu-Hao Liang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ramiro RamirezDepartment of Industrial Engineering and Management, National Taipei University of Technology, Taipei 106344, Taiwan.ORCID 0000-0002-1533-0083
Chien-Yi HuangDepartment of Industrial Engineering and Management, National Taipei University of Technology, Taipei 106344, Taiwan.
Che-An LiaoDepartment of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei 106335, Taiwan.
Po-Ting LinDepartment of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei 106335, Taiwan.ORCID 0000-0001-5907-7828
Hsin-Wei LinDepartment of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei 106335, Taiwan.
Shu-Hao LiangIndustry 4.0 Implementation Center, National Taiwan University of Science and Technology, Taipei 106335, Taiwan.ORCID 0000-0002-4409-3507

Funding

Ministry of Science and Technology, Taiwan 109-2222-E-011-008
6 · The paper itself

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.

Indexed as

BLEIPSKalman filtermodification coefficientRSSItrilateration

Identifiers

PMID34372415
PMCPMC8347277

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.