Cooperative detection-assisted localization in wireless networks in the presence of ranging outliers

Yifeng Xiong, Nan Wu*, Hua Wang, Jingming Kuang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

Location-aware wireless networks can provide precise location information in harsh environments, however, which is only possible when all nodes are well-functioning. In this paper, we propose algorithms and analyze the performance limits for both non-cooperative and cooperative localization networks in the presence of ranging outliers. Especially, we show that the localization performance can be boosted by using the cooperative outlier detection scheme. An algorithm based on expectation-maximization is proposed for non-cooperative localization networks, while a variational message passing-based algorithm is proposed for the cooperative counterparts. Performance limits are investigated using Cramér–Rao lower bound. Further inspection on the performance limits confirms the performance gain from the cooperative detection scheme. Stochastic geometric analysis is also carried out to account for the stochastic nature of wireless networks, as well as to provide simpler expressions and additional insights. Simulation results corroborate the analytical results, and show that both of the proposed algorithms are capable of attaining the corresponding performance limits at a significantly reduced computational cost compared with existing algorithms.

Original languageEnglish
Pages (from-to)5165-5179
Number of pages15
JournalIEEE Transactions on Communications
Volume65
Issue number12
DOIs
Publication statusPublished - Dec 2017

Keywords

  • Cooperative detection
  • Cramér–Rao lower bound (CRLB)
  • Location-aware wireless network
  • Ranging outlier

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