DocumentCode
1792699
Title
Energy efficient indoor localization utilizing BT 4.0 strapdown inertial navigation system
Author
Arvanitopoulos, Anastasios ; Gialelis, John ; Koubias, S.
Author_Institution
Electr. & Comput. Eng. Dept., Univ. of Patras, Patras, Greece
fYear
2014
fDate
16-19 Sept. 2014
Firstpage
1
Lastpage
5
Abstract
In the age of automation the need for indoor navigation has become quite important for a rising number of applications. In this work a strapdown INS (SINS) in terms of Inertial Navigation System is discussed. INS is an electronic device, containing an Inertial Measurement Unit (IMU), implementing a Dead Reckoning (DR) algorithm. This algorithm estimates position, velocity and orientation utilizing readings from motion sensors. The logic behind DR algorithm is to continually adding detected changes from the sensors to its previously calculated results. This is the main reason why INS is limited to measure relative position and orientation. Thus the accuracy of the propagated position depends heavily on the quality of the initial conditions. In addition, if absolute position or orientation updates are obtained by another sensor source at a high rate, the INS can be used to deliver high precision positions. In this paper, an INS fused with the new Bluetooth v4.0 technology is described.
Keywords
Bluetooth; energy conservation; indoor navigation; inertial navigation; telecommunication power management; BT 4.0 strapdown inertial navigation system; Bluetooth v4.0 technology; DR algorithm; IMU; SINS; dead reckoning algorithm; energy efficient indoor localization; indoor navigation; inertial measurement unit; motion sensor; orientation estimation; position estimation; strapdown INS; velocity estimation; Bluetooth; Conferences; Kalman filters; Navigation; Protocols; Sensors; Silicon compounds; Bluetooth Low Energy; Dead Reckoning; Indoor Localization; Inertial Navigation system; Kalman filtering;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Technology and Factory Automation (ETFA), 2014 IEEE
Conference_Location
Barcelona
Type
conf
DOI
10.1109/ETFA.2014.7005289
Filename
7005289
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