Time-Variant Frequency Response Function Measurement in the Presence of Missing Data

Rik Pintelon, Diana Ugryumova, Gerd Vandersteen, Ebrahim Louarroudi, John Lataire

Research output: Contribution to journalArticle

1 Citation (Scopus)


Missing data are an important issue in large-scale low-cost wireless sensor networks. In these measurement applications, sensor failure, data transmission errors, and data removal for saving transmission power are the main causes for the missing data. This paper studies the impact of missing data on the measurement of the time-variant frequency response function (TV-FRF) of linear time-variant systems. A nonparametric procedure for estimating the missing data and the TV-FRF is proposed. The theory is illustrated by simulations and experiments.
Original languageEnglish
Article number8008854
Pages (from-to)3091-3099
Number of pages9
JournalIEEE Transactions on Instrumentation and Measurement
Issue number11
Early online dateAug 2017
Publication statusPublished - 1 Nov 2017


  • Missing data
  • nonparametric estimates
  • time-variant frequency response function (TV-FRF)
  • time-variant systems


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