Hybrid Wireless Positioning
(2022) EITM02 20221Department of Electrical and Information Technology
- Abstract
- 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. A truly omnipresent location system for both indoor and outdoor settings is still not accessible, despite the global navigation satellite system (GNSS) technology enabling excellent outdoor location services. To find a solution for the indoor-outdoor transition accuracy, we suggest a solution of hybrid positioning system (HPS) that combines the position data of Bluetooth Low Energy (BLE) Beacon and the GNSS technology. This work investigates a BLE-GNSS... (More)
- 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. A truly omnipresent location system for both indoor and outdoor settings is still not accessible, despite the global navigation satellite system (GNSS) technology enabling excellent outdoor location services. To find a solution for the indoor-outdoor transition accuracy, we suggest a solution of hybrid positioning system (HPS) that combines the position data of Bluetooth Low Energy (BLE) Beacon and the GNSS technology. This work investigates a BLE-GNSS Hybrid positioning scheme based on AOA (Angle of Arrival) obtained by BLE and GNSS position estimate. The fusion algorithms tested here are the Weighted-Least square (WLS) method and the Kalman filter (KF) method. At the end of the investigation, we draw a comparison between these two fusion algorithms, and the results in the indoor-outdoor environment show that the proposed solution based on WLS improves the accuracy by up to 22% while the one based on KF enhances the accuracy by up to 38% compared to BLE performance, in the same environment the performance is improved compared with GNSS, HPS based on Kalman filter improves the accuracy up to 62% and HPS based in WLS improves the accuracy up to 31%.
Keywords: Global Navigation Satellite System (GNSS), Bluetooth Low Energy (BLE), Hybrid Positioning System (HPS), Fusion Algorithms. (Less) - Popular Abstract
- Currently, there is a great interest in location-based applications. These applications are used in industry, academia, and society. Not only has the demand for location systems grown, but these services also need to be very accurate in their estimates and be able to function well in different scenarios. These scenarios can be outdoor, indoor, or a combination of them. Most current location technologies have optimal performance in a specific scenario, such as GPS, which is typically a very reliable and accurate radio navigation system in outdoor scenarios, however, the use of GPS in indoor scenarios is affected by the loss of visibility of the devices with the satellites and the loss of signal due to obstacles such as walls or floor... (More)
- Currently, there is a great interest in location-based applications. These applications are used in industry, academia, and society. Not only has the demand for location systems grown, but these services also need to be very accurate in their estimates and be able to function well in different scenarios. These scenarios can be outdoor, indoor, or a combination of them. Most current location technologies have optimal performance in a specific scenario, such as GPS, which is typically a very reliable and accurate radio navigation system in outdoor scenarios, however, the use of GPS in indoor scenarios is affected by the loss of visibility of the devices with the satellites and the loss of signal due to obstacles such as walls or floor levels. On the other hand, there are solutions for indoor locations which include technologies such as Bluetooth, Wi-Fi, and RFID among others. These technologies can be found in almost all current mobile devices. Among these technologies, Bluetooth stands out due to its low energy consumption and the feature Direction Finding that is included in Bluetooth 5.1. This feature allows the equipment to determine the direction of a signal through different methods such as Angle of Arrival (AoA). The use of this characteristic allows the development of accurate indoor location applications based on Bluetooth.
Although the different technologies mentioned above have good performance in
specific environments, the use of position-based applications is not restricted to a single scenario, so it is necessary to have a system that can give an accurate location regardless of where the user is. A hybrid Positioning System (HPS) is presented as an alternative to cover this need. HPSs make use of two or more technologies to obtain a more accurate position estimate. In this work, the possibility of using GPS and Bluetooth direction finding based on AoA as components of a HPS is studied, for which different methods are investigated and tested to combine the position estimates given by the components of the HPS and thus, obtain a better estimate of the final position in indoor-outdoor scenarios. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9102774
- author
- Nagendra, Phalguni LU and Velapatino Gamarra, Marco Vihelmo
- supervisor
- organization
- course
- EITM02 20221
- year
- 2022
- type
- H2 - Master's Degree (Two Years)
- subject
- report number
- LU/LTH-EIT 2022-899
- language
- English
- id
- 9102774
- date added to LUP
- 2023-05-17 15:27:15
- date last changed
- 2023-05-17 15:27:15
@misc{9102774,
abstract = {{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. A truly omnipresent location system for both indoor and outdoor settings is still not accessible, despite the global navigation satellite system (GNSS) technology enabling excellent outdoor location services. To find a solution for the indoor-outdoor transition accuracy, we suggest a solution of hybrid positioning system (HPS) that combines the position data of Bluetooth Low Energy (BLE) Beacon and the GNSS technology. This work investigates a BLE-GNSS Hybrid positioning scheme based on AOA (Angle of Arrival) obtained by BLE and GNSS position estimate. The fusion algorithms tested here are the Weighted-Least square (WLS) method and the Kalman filter (KF) method. At the end of the investigation, we draw a comparison between these two fusion algorithms, and the results in the indoor-outdoor environment show that the proposed solution based on WLS improves the accuracy by up to 22% while the one based on KF enhances the accuracy by up to 38% compared to BLE performance, in the same environment the performance is improved compared with GNSS, HPS based on Kalman filter improves the accuracy up to 62% and HPS based in WLS improves the accuracy up to 31%.
Keywords: Global Navigation Satellite System (GNSS), Bluetooth Low Energy (BLE), Hybrid Positioning System (HPS), Fusion Algorithms.}},
author = {{Nagendra, Phalguni and Velapatino Gamarra, Marco Vihelmo}},
language = {{eng}},
note = {{Student Paper}},
title = {{Hybrid Wireless Positioning}},
year = {{2022}},
}