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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/14289

Title: Achieving accurate geo-location detection using joint RSS-DOA factor graph technique
Authors: Aziz, Muhammad Reza Kahar
Karimah, Shofiyati Nur
Yoshio, Niimi
Anwar, Khoirul
Matsumoto, Tad
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: 2016 10th International Conference on Telecommunication Systems Services and Applications (TSSA)
Start page: 1
End page: 6
DOI: 10.1109/TSSA.2016.7871076
Abstract: This paper proposes a detection technique based on factor graph (FG) to estimate the position of radio wave emitter. To obtain accurate estimation, we combine received signal strength (RSS) and direction of arrival (DOA) schemes into a single factor graph, called joint RSS-DOA, where soft information as mean and variance of the estimated target position are exchanged between the two schemes. The performance of DOA in this paper is used to modify variance approximation of the target location. We introduce the weighting factors for RSS and for DOA to avoid the soft information of DOA factor graph be ignored. With the proposed technique, the complexity is kept low, because only mean and variance are exchanged between the factor nodes. Ray-tracing data is used in outdoor application to create power delay profile (PDP) for the RSS-based factor graph and evaluate 5, 10, and 20 training points. The results confirmed that proposed joint RSS-DOA has best accuracy in detection compared to RSS-based or DOA-based only factor graph. To the best of our knowledge, we are the first showing successful results of FG based geo-location using Ray-tracing data.
Rights: This is the author's version of the work. Copyright (C) 2016 IEEE. 2016 10th International Conference on Telecommunication Systems Services and Applications (TSSA), 2016, DOI:10.1109/TSSA.2016.7871076. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: http://hdl.handle.net/10119/14289
Material Type: author
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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