Distributed RSS-AoA Based Localization with Unknown Transmit Powers

Slavisa Tomic, Marko Beko, Rui Dinis

Research output: Contribution to journalArticle

79 Citations (Scopus)

Abstract

This letter addresses the hybrid range/angle-based target localization problem in a cooperative 3-D wireless sensor network where no central processor is available. Due to battery exhaust over time, sensors' transmit powers are assumed different and unknown. Range and angle measurements are drawn from the received signal strength and angle-of-Arrival models, respectively. By exploiting the measurement models, we derive a novel local-estimator by which each target updates its own estimate, based on the least squares criterion. Second-order cone relaxation technique is then applied to approximately solve the attained problem due to its non-convex nature. Our simulation results show that the proposed algorithm efficiently solves the localization problem.

Original languageEnglish
Article number7469300
Pages (from-to)392-395
Number of pages4
JournalIEEE Wireless Communications Letters
Volume5
Issue number4
DOIs
Publication statusPublished - 1 Aug 2016

Keywords

  • angle-of-Arrival (AoA)
  • distributed localization
  • received signal strength (RSS)
  • second-order cone programming (SOCP)
  • Wireless localization
  • wireless sensor network (WSN)

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