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dc.contributor.authorAlaziz, Masud
dc.contributor.authorAllen, Christopher T
dc.date.accessioned2019-11-04T15:32:00Z
dc.date.available2019-11-04T15:32:00Z
dc.date.issued2018-03-25
dc.identifier.citationM. A. Aziz and C. T. Allen, “Experimental Results of a Differential Angle-of-Arrival Based 2D Localization Method Using Signals of Opportunity,” International Journal of Navigation and Observation, vol. 2018, Article ID 5470895, 6 pages, 2018. https://doi.org/10.1155/2018/5470895.en_US
dc.identifier.urihttp://hdl.handle.net/1808/29719
dc.description.abstractThis paper presents a study of differential AoA (Angle-of-Arrival) based 2D localization method utilizing FM radio signals (88 MHz–108 MHz) as Signals of Opportunity (SOP). Given prior knowledge of the transmitters’ position and signal characteristics, the proposed technique utilizes triangulation to localize receiver’s 2D position. Dual antenna interferometry provides the received signals’ AoA required for triangulation. Reliance on precise knowledge of antenna system’s orientation is removed by utilizing diferential Angle of Arrivals (dAoAs). Te 2D localization accuracy is improved by utilizing colocated transmitters, a concept proposed in this paper as supertowers. Analysis, simulation, and ground-based experiments have been presented; results showed that when the SNR (Signal-to-Noise Ratio) is higher than 45 dB, the proposed method localizes the receiver’s 2D position with an error of less than 15 m.en_US
dc.publisherHindawi Publishing Corporationen_US
dc.rightsCopyright © 2018 M. A. Aziz and C. T. Allen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleExperimental Results of a Differential Angle-of-Arrival Based 2D Localization Method Using Signals of Opportunityen_US
dc.typeArticleen_US
kusw.kuauthorAllen, Christopher T
kusw.kudepartmentElectrical Engineering and Computer Scienceen_US
dc.identifier.doi10.1155/2018/5470895en_US
dc.identifier.orcidhttps://orcid.org/0000-0003-1028-7431en_US
kusw.oaversionScholarly/refereed, author accepted manuscripten_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccessen_US


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Copyright © 2018 M. A. Aziz and C. T. Allen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's license is described as: Copyright © 2018 M. A. Aziz and C. T. Allen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.