A WLS estimator for target localization in a cooperative wireless sensor network

Slavisa Tomic, Marko Beko, Rui Dinis, Milan Tuba

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

Abstract

This paper addresses target localization problem in a cooperative 3-D wireless sensor network (WSN). We employ non-traditional methodology which merges distance and angle measurements, respectively withdrawn from the received signal strength (RSS) and angle-of-arrival (AoA) information. Based on RSS measurement model and effortless geometry, a novel non-convex estimator according to the weighted least squares (WLS) criterion is obtained, which closely approximates the maximum likelihood (ML) estimator for small noise. It is shown that the devised estimator is appropriate for distributed implementation. Following the squared range (SR) approach, we propose a suboptimal SR-WLS estimator according to the generalized trust region sub-problem (GTRS) framework, to estimate the locations of all targets in the WSN. According to our simulations, the new estimator has excellent performance in a great variety of considered settings, in which the effectiveness of fusing two radio measurements is confirmed.

Original languageEnglish
Title of host publicationTechnological Innovation for Cyber-Physical Systems - 7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016, Proceedings
PublisherSpringer New York LLC
Pages273-283
Number of pages11
Volume470
ISBN (Print)978-3-319-31164-7
DOIs
Publication statusPublished - 2016
Event7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016 - Costa de Caparica, Portugal
Duration: 11 Apr 201613 Apr 2016

Publication series

NameIFIP Advances in Information and Communication Technology
Volume470
ISSN (Print)18684238

Conference

Conference7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016
Country/TerritoryPortugal
CityCosta de Caparica
Period11/04/1613/04/16

Keywords

  • Angle-of-arrival (AoA)
  • Generalized trust region sub-problem (GTRS)
  • Received signal strength (RSS)
  • Wireless sensor network (WSN)

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