Robust 3-D Location Estimation in the Presence of Anchor Placement and Range Errors

Mohamed Abdalla Elhag Suliman, Tarig Ballal, Mohammed H. AlSharif, Mohamed Saad, Tareq Y. Al-Naffouri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

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.
Original languageEnglish (US)
Title of host publication2018 15th Workshop on Positioning, Navigation and Communications (WPNC)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)9781538664360
DOIs
StatePublished - Dec 4 2018

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01

Fingerprint Dive into the research topics of 'Robust 3-D Location Estimation in the Presence of Anchor Placement and Range Errors'. Together they form a unique fingerprint.

Cite this