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

7 Citations (Scopus)

Abstract

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
Volume4
Issue number7
DOIs
Publication statusPublished - 2020 Jul

Keywords

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Instrumentation

Fingerprint Dive into the research topics of 'Data-Driven Vector-Measurement-Sensor Selection Based on Greedy Algorithm'. Together they form a unique fingerprint.

Cite this