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An adaptive algorithm for cross-correlation velocity measurement

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a novel method for particle velocity measurement by using the cross-correlation algorithm is proposed. The predicted transit time is used to implement an adaptive process for selecting signal segments that are of higher overlap degree. The proposed algorithm improves the cross-correlation coefficient and provides a way to detect the transit time with a higher accuracy. Simulations are carried out to evaluate the proposed adaptive algorithm by comparing it with the conventional algorithm. The comparison results demonstrate that the cross-correlation coefficient obtained by the adaptive algorithm is larger than that obtained by the conventional algorithm, and hence the transit time is more accurate.

Original languageEnglish
Title of host publication2012 the 8th IEEE International Symposium on Instrumentation and Control Technology, ISICT 2012 - Proceedings
Pages96-100
Number of pages5
DOIs
StatePublished - 2012
Event8th IEEE International Symposium on Instrumentation and Control Technology, ISICT 2012 - London, United Kingdom
Duration: 11 Jul 201213 Jul 2012

Publication series

Name2012 the 8th IEEE International Symposium on Instrumentation and Control Technology, ISICT 2012 - Proceedings

Conference

Conference8th IEEE International Symposium on Instrumentation and Control Technology, ISICT 2012
Country/TerritoryUnited Kingdom
CityLondon
Period11/07/1213/07/12

Keywords

  • adaptive algorithm
  • cross-correlation
  • transit time
  • velocity measurement

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