NDLI: BLUE-based real-time location estimation using indoor RSSI measurements

Content Provider	IEEE Xplore Digital Library
Author	Bandirmali, N. Torlak, M.
Copyright Year	2015
Description	Author affiliation: Electr. Eng. Dept., Univ. of Texas at Dallas, Dallas, TX, USA (Torlak, M.) \|\| Bilgisayar Muhendisligi Bolumu, Yalova Univ., Yalova, Turkey (Bandirmali, N.)
Abstract	This paper presents a BLUE-based (Best Linear Unbiased Estimator) real-time localization estimation approach using indoor Received Signal Strength Indicator (RSSI) measurements, its Android based mobile application and real experimental results. Location estimation and monitoring have recently become very popular research topics using WiFi networks for indoor environments. Differing from its counterparts in use, this presented approach does not require any calibration or hardware integration, discarding additional system overload and cost as an important contribution. Compared to its classical counterpart Least Square method, it achieves up to two times better location estimation especially for measurement points with none or very small signal received from some of the access points.
Starting Page	1757
Ending Page	1760
File Size	261486
Page Count	4
File Format	PDF
ISBN	9781467373869
DOI	10.1109/SIU.2015.7130193
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-16
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reactive power RSSI Indoor Environment IEEE 802.11 Standards Estimation Humanoid robots Real-time systems Androids WiFi Location Estimation Global Positioning System
Content Type	Text
Resource Type	Article

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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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