Data-Driven Vector-Measurement-Sensor Selection Based on Greedy Algorithm

Yuji Saito, Taku Nonomura, Koki Nankai, Keigo Yamada, Keisuke Asai, Yasuo Sasaki, Daisuke Tsubakino

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)


A vector-measurement-sensor problem for the least squares estimation is considered, by extending a previous novel approach in this letter. An extension of the vector-measurement-sensor selection of the greedy algorithm is proposed and is applied to particle-image-velocimetry data to reconstruct the full state based on the information given by sparse vector-measurement sensors.

Original languageEnglish
Article number9105114
JournalIEEE Sensors Letters
Issue number7
Publication statusPublished - 2020 Jul


  • Sensor signal processing
  • data processing
  • greedy algorithm
  • sensor placement
  • vector-measurement

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Instrumentation


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