A Localization Method Based on Partial Correlation Analysis for DynamicWireless Network

Yuki Horiguchi, Yuusuke Ito, Aohan Li, Mikio Hasegawa

Research output: Contribution to journalArticlepeer-review

Abstract

Recent localization methods for wireless networks cannot be applied to dynamic networks with unknown topology. To solve this problem, we propose a localization method based on partial correlation analysis in this paper. We evaluate our proposed localization method in terms of accuracy, which shows that our proposed method can achieve high accuracy localization for dynamic networks with unknown topology.

Original languageEnglish
Pages (from-to)594-597
Number of pages4
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE105A
Issue number3
DOIs
Publication statusPublished - 2022

Keywords

  • localization
  • partial correlation analysis
  • wireless communication

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