TY - GEN
T1 - Robust 3-D Location Estimation in the Presence of Anchor Placement and Range Errors
AU - Suliman, Mohamed Abdalla Elhag
AU - Ballal, Tarig
AU - AlSharif, Mohammed H.
AU - Saad, Mohamed
AU - Al-Naffouri, Tareq Y.
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2018/12/4
Y1 - 2018/12/4
N2 - This 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.
AB - This 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.
UR - http://hdl.handle.net/10754/630688
UR - https://ieeexplore.ieee.org/document/8555817
UR - http://www.scopus.com/inward/record.url?scp=85059972015&partnerID=8YFLogxK
U2 - 10.1109/wpnc.2018.8555817
DO - 10.1109/wpnc.2018.8555817
M3 - Conference contribution
SN - 9781538664360
BT - 2018 15th Workshop on Positioning, Navigation and Communications (WPNC)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -