NDLI: Signals of opportunity geolocation methods for urban and indoor environments

Content Provider	Springer Nature Link
Author	Mansfield, T. O. Ghita, B. V. Ambroze, M. A.
Copyright Year	2017
Abstract	Motivated by the geolocation requirements of future mobile network applications such as portable internet of things (IoT) devices and automated airborne drone systems, this paper aims to provide techniques for improving device geolocation estimates in urban and indoor locations. In these applications low size, weight and power are vital design constraints. This paper proposes methods for improving the geolocation estimate available to a system in indoor and urban environments without the need for addition sensing or transmitting hardware. This paper proposes novel system application techniques that enable the integration of signals of opportunity, providing a robust geolocation estimate without any additional hardware. The proposed method utilises a sinusoidal Kalman filter architecture to analyse raw radio frequency (RF) signals that surround a system in urban and indoor environments. The introduced techniques efficiently analyse the raw RF data from any signal of opportunity and combine it with higher level geolocation sensors to provide an improved geolocation estimate. The improvements achieved by the system in a range of environments have been simulated, analysed and compared to the results obtained using the prior art. These improvements have been further validated and benchmarked by hardware test. The results obtained provide evidence that the efficient use of signals of opportunity coupled with common navigation sensors can provide a robust and reliable geolocation system in indoor and urban environments.
Starting Page	145
Ending Page	155
Page Count	11
File Format	PDF
ISSN	00034347
Journal	Annales Des Télécommunications
Volume Number	72
Issue Number	3-4
e-ISSN	19589395
Language	English
Publisher	Springer Paris
Publisher Date	2017-01-04
Publisher Place	Paris
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Signals of opportunity Kalman filtering Radio navigation and geolocation Communications Engineering, Networks Information Systems and Communication Service Signal,Image and Speech Processing Computer Communication Networks Information and Communication, Circuits R & D/Technology Policy
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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