Please use this identifier to cite or link to this item: http://hdl.handle.net/11144/3679
Title: Distributed RSS-AoA Based Localization with Unknown Transmit Powers
Authors: Dinis, Rui
Tomic, Slavisa
Beko, Marko
Keywords: Wireless localization
Distributed localization
Received signal strength (RSS)
Angle-of-arrival (AoA)
Second-order cone programming (SOCP)
Wireless sensor network (WSN)
Issue Date: 2016
Publisher: IEEE Publisher
Citation: Tomic, Slavisa et al. “Distributed RSS-AoA Based Localization With Unknown Transmit Powers.” IEEE Wireless Communications Letters 5 (2016): 392-395.
Abstract: This letter addresses the hybrid range/angle-based target localization problem in a cooperative 3-D wireless sensor network where no central processor is available. Due to battery exhaust over time, sensors' transmit powers are assumed different and unknown. Range and angle measurements are drawn from the received signal strength and angle-of-arrival models, respectively. By exploiting the measurement models, we derive a novel local-estimator by which each target updates its own estimate, based on the least squares criterion. Second-order cone relaxation technique is then applied to approximately solve the attained problem due to its non-convex nature. Our simulation results show that the proposed algorithm efficiently solves the localization problem
Peer reviewed: yes
URI: http://hdl.handle.net/11144/3679
metadata.dc.identifier.doi: 10.1109/LWC.2016.2567394
ISSN: 2162-2337
Publisher version: https://ieeexplore.ieee.org/document/7469300/
Appears in Collections:DCT - Artigos/Papers

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