Essays about: "Bluetooth direction finding."
Showing result 1 - 5 of 9 essays containing the words Bluetooth direction finding..
-
1. Investigations and Development in the Area of Automated Security Evaluation of Android Devices with Focus on Bluetooth
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Bluetooth is a technology that has been implemented in over 5 billion devices and therefore has a considerable impact. It is the dominant technology for shortrange wireless communication. READ MORE
-
2. Hybrid Wireless Positioning
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Numerous location-based services (LBS) have evolved because of the fast development of mobile Internet for use in commerce, entertainment, security, and other areas. All of these need a precise real-time location-based service with smooth indoor- outdoor transition in highly populated areas. READ MORE
-
3. Study of antenna arrays for direction finding
University essay from Umeå universitet/Institutionen för fysikAbstract : The new Bluetooth standard (Bluetooth 5.1) contains direction finding specifications. Specifications for received signal strength indicator(RSSI) using measures of signal strength in order to give a sense of how far away an object is has been present in earlier versions. READ MORE
-
4. Towards an improvement of BLE Direction Finding accuracyusing Dead Reckoning with inertial sensors
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)Abstract : Whilst GPS positioning has been a well used technology for many years in outdoor environments,a ubiquitous solution for indoor positioning is yet to be found, as GPS positioning is unreliableindoors. This thesis focuses on the combination of Inertial Sensor Dead Reckoning and positionsobtained from the Bluetooth Low Energy (BLE) Direction Finding technique. READ MORE
-
5. Indoor Positioning and Machine Learning Algorithms
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : This master thesis focuses around improving the efficiency and accuracy of existing indoor positioning systems with the help of Machine Learning (ML). Our work is based on Bluetooth Low Energy (BLE) v5.1. Position estimation is currently being carried out using the Least-Squares (LS) method in the framework. READ MORE