Hybrid RSS/AoA-based target localization and tracking in wireless sensor networks

Slavisa Tomic, Marko Beko, Rui Dinis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a brief overview of recently developed algorithms for target localization and tracking using combined angle of arrival (AoA) and received signal strength (RSS) observations. Due to the non-linearity and non-convexity of the problem at hand, our main focus here is on the estimators that solve the localization problem by transforming it into more suitable frameworks. In other words, these estimators share the main objective in which the original problem is approximated by another (possibly convex) one whose solution can be readily found. Different convex relaxation techniques are described, and the paper presents recent advancement of the techniques in the sense of both computational complexity and localization accuracy.

Original languageEnglish
Title of host publicationTechnological Innovation for Resilient Systems - 9th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018, Proceedings
EditorsL. M. Camarinha-Matos, K. O. AduKankam, M. Julashokri
Place of PublicationCham
PublisherSpringer New York LLC
Pages185-201
Number of pages17
ISBN (Electronic)978-3-319-78574-5
ISBN (Print)978-3-319-78573-8
DOIs
Publication statusPublished - 2018
Event9th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018 - Costa de Caparica, Portugal
Duration: 2 May 20184 May 2018

Publication series

NameIFIP Advances in Information and Communication Technology
PublisherSpringer New York LLC
Volume521
ISSN (Print)1868-4238

Conference

Conference9th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018
CountryPortugal
CityCosta de Caparica
Period2/05/184/05/18

Keywords

  • Angle of arrival (AoA)
  • Received signal strength (RSS)
  • Target localization and tracking
  • Wireless sensor network (WSN)

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