ArticleSensors (Basel, Switzerland)2017
A Bluetooth Low Energy Indoor Positioning System with Channel Diversity, Weighted Trilateration and Kalman Filtering.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- High-Accuracy Indoor Positioning and Smart Home Technologies for Assessing and Monitoring Frailty in Older Adults.Sensors (Basel, Switzerland) · 2025Article
- Exploring the relationship between severity of patient illness and in room primary care nursing time in a medical intensive care unit.Applied ergonomics · 2025Article
- Differential Positioning with Bluetooth Low Energy (BLE) Beacons for UAS Indoor Operations: Analysis and Results.Sensors (Basel, Switzerland) · 2024Article
- Simplified Indoor Localization Using Bluetooth Beacons and Received Signal Strength Fingerprinting with Smartwatch.Sensors (Basel, Switzerland) · 2024Article
- BLE-Based Indoor Localization: Analysis of Some Solutions for Performance Improvement.Sensors (Basel, Switzerland) · 2024Article
- A Hybrid Indoor Positioning System Based on Visible Light Communication and Bluetooth RSS Trilateration.Sensors (Basel, Switzerland) · 2023Article
- Adaptive Scheme of Denoising Autoencoder for Estimating Indoor Localization Based on RSSI Analytics in BLE Environment.Sensors (Basel, Switzerland) · 2023Article
- Personal VOCs Exposure with a Sensor Network Based on Low-Cost Gas Sensor, and Machine Learning Enabled Indoor Localization.Sensors (Basel, Switzerland) · 2023Article
- Magnetic-Field-Based Indoor Positioning Using Temporal Convolutional Networks.Sensors (Basel, Switzerland) · 2023Article
- SmartFPS: Neural network based wireless-inertial fusion positioning system.Frontiers in neurorobotics · 2023Article
- Combining Multichannel RSSI and Vision with Artificial Neural Networks to Improve BLE Trilateration.Sensors (Basel, Switzerland) · 2022Article
- A Novel Carrier Loop Based on Coarse-to-Fine Weighted Adaptive Kalman Filter for Weak Communication-Positioning Integrated Signal.Sensors (Basel, Switzerland) · 2022Article
- Design and Implementation of an Indoor Warning System with Physiological Signal Monitoring for People Isolated at Home.Sensors (Basel, Switzerland) · 2022Article
- Automated Calibration of RSS Fingerprinting Based Systems Using a Mobile Robot and Machine Learning.Sensors (Basel, Switzerland) · 2021Article
- A Practice of BLE RSSI Measurement for Indoor Positioning.Sensors (Basel, Switzerland) · 2021Article
- Obstruction-Aware Signal-Loss-Tolerant Indoor Positioning Using Bluetooth Low Energy.Sensors (Basel, Switzerland) · 2021Article
- An Enhanced Indoor Positioning Technique Based on a Novel Received Signal Strength Indicator Distance Prediction and Correction Model.Sensors (Basel, Switzerland) · 2021Article
- BLE-Based Indoor Tracking System with Overlapping-Resistant IoT Solution for Tourism Applications.Sensors (Basel, Switzerland) · 2021Article
- Development and Evaluation of Bluetooth Low-Energy Device for Electronic Encounter Metrics.Journal of research of the National Institute of Standards and Technology · 2021Article
- Position Tracking Techniques Using Multiple Receivers for Anti-Drone Systems.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Indoor Positioning Systems (IPS) using Bluetooth Low Energy (BLE) technology are currently becoming real and available, which has made them grow in popularity and use. However, there are still plenty of challenges related to this technology, especially in terms of Received Signal Strength Indicator (RSSI) fluctuations due to the behaviour of the channels and the multipath effect, that lead to poor precision. In order to mitigate these effects, in this paper we propose and implement a real Indoor Positioning System based on Bluetooth Low Energy, that improves accuracy while reducing power consumption and costs. The three main proposals are: frequency diversity, Kalman filtering and a trilateration method what we have denominated "weighted trilateration". The analysis of the results proves that all the proposals improve the precision of the system, which goes up to 1.82 m 90% of the time for a device moving in a middle-size room and 0.7 m for static devices. Furthermore, we have proved that the system is scalable and efficient in terms of cost and power consumption. The implemented approach allows using a very simple device (like a SensorTag) on the items to locate. The system enables a very low density of anchor points or references and with a precision better than existing solutions.
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Registered trials
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.