A machine learning approach to improve ranging accuracy with AoA and RSSI
Ranging accuracy is a critical parameter in time-based indoor positioning systems. Indoor
environments often have complex structures, which make centimeter-level-accurate ranging …
environments often have complex structures, which make centimeter-level-accurate ranging …
A Unified Fading Model based Real-Time Localization on IoT Edge Devices
Wi-Fi-based localization using Received Signal Strength (RSS) is widely adopted due to its
cost-effectiveness and ubiquity. However, localization accuracy of RSS-based localization …
cost-effectiveness and ubiquity. However, localization accuracy of RSS-based localization …
Height information aided 3D real‐time large‐scale underground user positioning
Due to the cost of inertial navigation and visual navigation equipment and lake of satellite
navigation signals, they cannot be used in large‐scale underground mining environment. To …
navigation signals, they cannot be used in large‐scale underground mining environment. To …
Smooth Transition of a Grid Connected PV System to Standalone operation
This work introduces a control approach for a single stage solar photovoltaic (PV)
generation system interfaced to the utility. In a single stage system, the voltage source …
generation system interfaced to the utility. In a single stage system, the voltage source …
Improved Indoor Positioning System Performance Using Machine Learning
SRX MENDOZA - 2023 - search.proquest.com
Indoor positioning refers to the act of locating assets and personnel within an indoor space,
where satellite-based technologies are not as effective due to the lack of line-of-sight …
where satellite-based technologies are not as effective due to the lack of line-of-sight …