Robust 3-D Location Estimation in the Presence of Anchor Placement and Range Errors
AuthorsSuliman, Mohamed Abdalla Elhag
AlSharif, Mohammed H.
Al-Naffouri, Tareq Y.
KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Online Publication Date2018-12-04
Print Publication Date2018-10
Permanent link to this recordhttp://hdl.handle.net/10754/630688
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AbstractThis paper addresses the problem of 3-D location estimation from perturbed range information and uncertain anchor positions. The 3-D location estimation problem is formulated as a min-max convex optimization problem with a set of second-order cone constraints. Robust optimization tools are applied to convert these cone constrains to semi-definite programming constraints and achieve robust location estimation without prior knowledge of the statistical distributions of the errors. Simulation results demonstrate the superiority of the proposed approach over other benchmark algorithms in a wide range of measurement error scenarios.
CitationSuliman MA, Ballal T, AlSharif MH, Saad M, Al-Naffouri TY (2018) Robust 3-D Location Estimation in the Presence of Anchor Placement and Range Errors. 2018 15th Workshop on Positioning, Navigation and Communications (WPNC). Available: http://dx.doi.org/10.1109/wpnc.2018.8555817.