Search Results for: kalman

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”

Novel iBeacon Localisation Algorithm Modelling

Recent research A Novel Optimized iBeacon Localization Algorithm Modeling by Jiajia Shi et al, addresses the challenges in achieving high accuracy in indoor object localisation or tracking using iBeacon systems. These systems, which use Bluetooth sensors, are appealing due to their low cost and ease of setup but there can be challenges with accuracy and … Continue reading “Novel iBeacon Localisation Algorithm Modelling”

Improving Safety on Construction Sites

Researchers from Spain have recently developed a safety system that uses Bluetooth Low Energy (BLE) to ensure the correct use of Personal Protection Equipment (PPE) on construction sites. This innovative system is not only robust and reliable but also easily adaptable to various dangerous machines. The system is built on RSSI (Received Signal Strength Indicator) … Continue reading “Improving Safety on Construction Sites”

BLE Beacons for Sample Position Estimation in A Life Science Automation Laboratory

There’s new research into BLE Beacons for Sample Position Estimation in A Life Science Automation Laboratory. In life science automation laboratories, monitoring and managing the position of samples is crucial. One emerging solution for sample position estimation in these settings is the use of Bluetooth Low-Energy (BLE) beacons. Historically, many fingerprinting models that harness received … Continue reading “BLE Beacons for Sample Position Estimation in A Life Science Automation Laboratory”

Bluetooth RSSI Measurement for Indoor Positioning

There’s a research paper by researchers from Taiwan on A practice of BLE RSSI measurement for indoor positioning. The paper looks into received signal strength (RSSI) to distance conversion, the significance of antenna plane (orientation) and measurements in two different situations, a low noise classroom and a more noisy manufacturing site workshop. Techniques employed included … Continue reading “Bluetooth RSSI Measurement for Indoor Positioning”

Bluetooth 5.1 Angle-of-Arrival Antenna Array Design

There’s new research from University of Porto, Portugal on Design and Experimental Evaluation of a Bluetooth 5.1 Antenna Array for Angle-of-Arrival Estimation. Experiments were conducted on a circular antenna array in an anechoic chamber and in a real-world environment to evaluate the quality of the retrieved data. The setup included four beacons advertising a Constant … Continue reading “Bluetooth 5.1 Angle-of-Arrival Antenna Array Design”

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”

Improving iBeacon Location Accuracy

There are lots of ways of processing Bluetooth signal strength (RSSI) to determine location. Being based on radio, RSSI suffers from fluctuations, over time, even when the sender and receiver don’t move. The College of Surveying and GeoInformatics, Tongji University, Shanghai , China has new research on iBeacon-based method by integrating a trilateration algorithm with … Continue reading “Improving iBeacon Location Accuracy”

Using iBeacons for Locating Robots

Beacons are great for use with robots for use in determining extra contextual information. There’s recent research on Autonomous Navigation of an Indoor Mecanum-Wheeled Omnidirectional Robot Using Segnet (pdf) that uses iBeacons to determine a rough location of the robot. The locating uses Kalman filtering and trilateration to get a fix for the robot. If … Continue reading “Using iBeacons for Locating Robots”

iBeacon Microlocation Accuracy

Customers often ask us the accuracy when locating beacons. In order to get the answer, its necessary to understand different ways of locating and the tradeoffs that are needed to get the different levels of accuracy. There are two types of locating, received signal strength (RSSI) based and angle of arrival direction finding (AoA). Locating … Continue reading “iBeacon Microlocation Accuracy”