NDLI: Localization and Trajectory Estimation of Mobile Objects Using Minimum Samples

Content Provider	IEEE Xplore Digital Library
Author	Xu Chen Schonfeld, D. Khokhar, A.A.
Copyright Year	1967
Abstract	Identifying the spatial location of an object with reference to a known coordinate system is a critical localization problem in mobile sensors. In this paper, we present a novel method for the localization problem by only using a single sensor that knows its position, with the additional requirement that it is moving. The proposed method relies on multiple time samples by the moving sensor based on the received signal strength (RSS) and the angle of arrival (AOA). We also derive the Cramer-Rao bounds for the localization parameters. Based on the estimated location information over a brief time period, we further present robust trajectory-estimation techniques that employ Kalman filtering (KF). The performance of the proposed location and trajectory-estimation method is analyzed for different motion trajectories in a multihop sensor network. Based on computer simulations, we demonstrate that the proposed method reduces energy consumption by approximately 67% compared with traditional triangulation-based schemes.
Sponsorship	IEEE Vehicular Technology Society
Starting Page	4439
Ending Page	4446
Page Count	8
File Size	1000311
File Format	PDF
ISSN	00189545
Volume Number	58
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensor systems Robustness Kalman filters Information filtering Information filters Performance analysis Motion analysis Spread spectrum communication Computer simulation Energy consumption object trajectory Cramer–Rao bound Kalman filter (KF) object localization object motion object tracking
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Automotive Engineering Computer Networks and Communications Electrical and Electronic Engineering Aerospace 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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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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