Wireless relative localization

Wireless localization performed using least squares absolute trilateration requires collecting data about the environment and is greatly affected by noise. This paper presents a novel approach to wireless localization by relating signal strength measurements from anchors to each other. Relative wireless localization outperforms absolute trilateration in multiple environments with varying amounts of noise. Relative localization does this while removing the requirement for environmental pretraining.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2023

Author dc:creator

• Vovveti, Vasista

Contributors dc:contributor

• Kravets, Robin H

• Localization
• Wireless Localization
• Relative Localization

Statement dc:rights

• © 2023 Vasista Vovveti

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/120152

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F120152