Non-Cooperative Target Localisation Using Rank Based EDM Approach

Hebatallah Shoukry, Satyanarayana Vuppala, Pat Chambers, Mathini Sellathurai, John Thompson

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

Abstract

An analysis of the effect of the number of sensors on the non-cooperative target node localisation is presented. This work examines the target localisation using a centralised range based approach. In doing this, the work leverages an algorithm based on a class of matrix structure called Euclidean distance matrices (EDMs) for the specific purpose of improving localisation performance when the fusion centre (FC) cannot receive certain sensors' information due to fading or shadowing, etc. While this interesting approach to the problem of localisation has been found to be successful, it is also shown at high delay values the proposed alternating rank-based EDM algorithm outperforms the conventional linear least squares (LLS) based algorithm for the minimum number of sensors. The localisation error decreases when the conditioning of EDM is better, i.e., when the sensors are further apart from each other and closer to the target.

Original languageEnglish
Title of host publication2017 Sensor Signal Processing for Defence Conference (SSPD)
PublisherIEEE
ISBN (Electronic)9781538616635
DOIs
Publication statusPublished - 21 Dec 2017
Event7th Conference of the Sensor Signal Processing for Defence 2017 - London, United Kingdom
Duration: 6 Dec 20177 Dec 2017

Conference

Conference7th Conference of the Sensor Signal Processing for Defence 2017
Abbreviated titleSSPD 2017
CountryUnited Kingdom
CityLondon
Period6/12/177/12/17

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

Fingerprint Dive into the research topics of 'Non-Cooperative Target Localisation Using Rank Based EDM Approach'. Together they form a unique fingerprint.

Cite this