Using Multi Bluetooth iBeacon Trilateration For Increased Accuracy

There’s a new paper from the journal Telkomnika Telecommunication, Computing, Electronics and Control on Smartphone indoor positioning based on enhanced BLE beacon multi-lateration (pdf). The paper by Ngoc-Son Duong of Vietnam National University describes a relatively simple method to improve location accuracy. The paper starts by describing trilateration and the author voices the opinion that … Continue reading “Using Multi Bluetooth iBeacon Trilateration For Increased Accuracy”

Indoor Navigation Using Bluetooth LE

There’s a new article from the Icontech International Journal of Surveys, Engineering, Technology on Indoor Position Routing (IPR) and Data Monitor Using Bluetooth Low Energy Technology by researchers at the Hasan Kalyoncu University, Institute of Science, Electrical & Electronics Engineering, Gaziantep, Turkey. This article is different because it considers navigation as opposed to just locating. … Continue reading “Indoor Navigation Using Bluetooth LE”

Learn About Indoor Positioning

There’s a recent paper Review of Indoor Positioning: Radio Wave Technology that provides a great overview of indoor positioning technologies. From a hardware perspective it covers, RFID, UWB, Bluetooth, ZigBee, IR, WiFi, ultrasonic and hybrid systems. There’s a useful comparison table of the various technologies: The paper describes methods of using radio signals to determine … Continue reading “Learn About Indoor Positioning”

Improving Indoor Locating Using Kalman Filtering and a Particle Filter

There’s recent research from Korea on Particle Filtering-Based Indoor Positioning System for Beacon Tag Tracking. The paper looks into how to improve positioning accuracy, reduce system complexity and reduce deployment cost through the use of a Particle Filter-based Indoor Positioning System (PFIPS). A Kalman Filter is used to preprocess collected Received Signal Strength Indication (RSSI) … Continue reading “Improving Indoor Locating Using Kalman Filtering and a Particle Filter”

Beacon Placement Optimisation for Indoor Positioning

There’s recent research into Sensor placement optimization for critical-grid coverage problem of indoor positioning (PDF). The paper investigates how to reduce deployment cost by placing more sensors in areas that require higher accuracy rather than using a uniform deployment scheme. Areas are differentiated as either being ‘critical’ or ‘common’. For example, in a railway station, … Continue reading “Beacon Placement Optimisation for Indoor Positioning”

Positioning, Tracking and Flow Using Bluetooth Signals

There’s new research into Developing a Solution for Mobility and Distribution Analysis Based on Bluetooth and Artificial Intelligence. The paper describes an efficient solution for locating, tracking, analysing distribution and flow of people and/or vehicles. Filters and algorithms including artificial intelligence and angle of arrival (AoA) were employed. The resultant system provided for analysis of … Continue reading “Positioning, Tracking and Flow Using Bluetooth Signals”

New Windows Bluetooth LE Analyzer

Acrylic have a new Windows-based Bluetooth LE Analyzer that can be used to check for and test Bluetooth devices. The application has a scanner showing the Bluetooth signal strength range (RSSI): It also provides analysis using dynamic and customizable graphs showing RSSI (signal strength), signal distribution over time and approximate device distance. A BLE beacon … Continue reading “New Windows Bluetooth LE Analyzer”

Using Bluetooth Beacons to Measure Gait Speed

There’s recent research into using Bluetooth beacons to measure human gait speed. The ability to walk can be used as a core indicator of health in aging and disease. For example, it can enable early detection of cognitive diseases such as dementia or Alzheimer’s disease. Researchers at Universitat Jaume I and University of Extremadura, Spain, … Continue reading “Using Bluetooth Beacons to Measure Gait Speed”

iBeacon Deployment Performance Evaluation

There’s recent work by researchers at Hong Kong Polytechnic University on Performance Evaluation of iBeacon Deployment for Location-Based Services in Physical Learning Spaces. The paper examines signal availability, signal stability and position accuracy under different environmental conditions. The aim was to provide recommendations for iBeacon deployment location, density, transmission interval and fingerprint space interval. While … Continue reading “iBeacon Deployment Performance Evaluation”