Odor source localization algorithm based on spatially distributed sensors array

Li Wei Chen, Jian Hua Yang, Liang Sun, Mi Mi Shi

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Based on the turbulence model, this paper proposes an approach of odor source localization which is designed to find the static odor source in stable wind field. The spatially distributed sensors array is adopted to monitor odor concentration on multiple spots. And the odor source can be localized depending on the measuring results of sensors array. The optimal solution of the source position is estimated with location algorithm in a predetermined range. By using traversal calculation, the odor source localization problem is converted into the optimal solution based on least-square. Comparing with other odor source location algorithms, the new algorithm can operate without known wind speed and diffusion coefficient. And the traversal calculation avoids being trapped in local optimum. Simulation experiments are performed to verify the localization algorithm. The metal oxide semiconductor sensors array and the sampling system are designed. And the ethanol odor localization experiments are operated in the laboratory.

Original languageEnglish
Pages (from-to)212-215+221
JournalDianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China
Volume43
Issue number2
DOIs
StatePublished - Mar 2014

Keywords

  • Metal oxide semiconductor odor sensor
  • Odor source localization
  • Sensors array
  • Signal processing
  • Turbulence model

Fingerprint

Dive into the research topics of 'Odor source localization algorithm based on spatially distributed sensors array'. Together they form a unique fingerprint.

Cite this