NDLI: Indoor Geo-Location Approach for Dense Multipath Environments

Content Provider	IEEE Xplore Digital Library
Author	Kabir, M.H. Randrianandraina, H. Sugimoto, C. Kohno, R.
Copyright Year	2013
Description	Author affiliation: Div. of Phys., Electr. & Comput. Eng., Yokohama Nat. Univ., Yokohama, Japan (Kabir, M.H.; Randrianandraina, H.; Sugimoto, C.; Kohno, R.)
Abstract	Received signal's time-of-arrival (TOA) based real time ranging system is widely used for UWB geolocation. However, multipath radio wave propagation and Non-line-of-sight (NLOS) incidents can cause a large error in source localization. In order to mitigate these errors, this paper proposes and investigates a novel approach which makes a hybrid combination of fingerprinting (FP) positioning and an iterative Time of Arrival (TOA) real time positioning method. Moreover, to reduce the computational complexities in FP method, we introduce a unique idea for the arrangement of reference tags to create fingerprinting database. Each arrangement of reference tags resembles a shape of polygon, which size dominates the computational complexities of FP as well as proposed hybrid method. By analyzing the tradeoff between positioning accuracies and computational complexities in proposed method we determine the appropriate size of polygon to reduce the computational complexity while maintaining a higher positioning accuracy. Moreover, proposed method is the effective solution of geo-location in the dense multipath condition and in the worst cases of NLOS. Finally, in comparison with TOA only, FP only and a conventional iterative positioning method the proposed hybrid method yields better performance and is much more robust in dense multipath situations.
Starting Page	1
Ending Page	5
File Size	677688
Page Count	5
File Format	PDF
ISBN	9781467361873
ISSN	10903038
DOI	10.1109/VTCFall.2013.6692239
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Iterative methods Fingerprint recognition Computational complexity Geology Databases Indoor environments
Content Type	Text
Resource Type	Article

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