Abstract
Different systems have been proposed to estimate the position of a mobile device using Bluetooth based on metrics such as the Radio Signal Strength Indicator (RSSI), the received Bit Error Rate (BER) or the Cellular Signal Quality (CSQ). These systems try to improve the estimation accuracy of the basic and straightforward triangulation method among discovered BT reference base stations at the cost of requiring that the positioning application has access to low level hardware related data (provided by the Host Controller Interface) and obtaining information which is in many cases hardware, and therefore device, dependent. In this paper we design, simulate, implement and validate a Bluetooth positioning system that only requires the ability to handle SDP service records at the application level, achieving mean errors around 1 to 3 meters, improving the basic triangulation method among discovered BT reference base stations.
Highlights
Location Based Services can be considered as one of the most rapidly expanding fields of the mobile communications sector [26]
Previously mentioned positioning systems based on Bluetooth [10,11,12,13,14,15,16,17,18,19] tend to use metrics such as the Radio Signal Strength Indicator (RSSI), the received Bit Error Rate (BER) or the Cellular Signal Quality (CSQ) to try to improve the estimation accuracy of the basic and straightforward triangulation method among discovered BT reference base stations, requiring that the positioning application has access to low level hardware related data and obtaining information which is in many cases hardware, and device, dependent
Zhou and Pollard [18] define a mechanism to improve the use of the Radio Signal Strength Indicator (RSSI) for Bluetooth indoor positioning systems by modifying the standard Bluetooth behaviour by disabling the automatic transmitter power control based on the RSSI measurements
Summary
Location Based Services can be considered as one of the most rapidly expanding fields of the mobile communications sector [26]. The limits of global, satellite based, positioning systems such as GPS to provide location information in indoors environments have fostered the use of different wireless technologies to locate mobile devices in such environments. Previously mentioned positioning systems based on Bluetooth [10,11,12,13,14,15,16,17,18,19] tend to use metrics such as the Radio Signal Strength Indicator (RSSI), the received Bit Error Rate (BER) or the Cellular Signal Quality (CSQ) to try to improve the estimation accuracy of the basic and straightforward triangulation method among discovered BT reference base stations, requiring that the positioning application has access to low level hardware related data (provided by the Host Controller Interface) and obtaining information which is in many cases hardware, and device, dependent. We will provide simulation as well as real measurements to validate the accuracy of our systems
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