An Introduction to Prism Signal Processing Applied to Sensor Validation

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

This paper introduces the Prism, a new type of signal processing block, as a contribution to the challenges of 21st Century metrology. The Prism is a fully recursive, dual output, FIR filter: the computational burden is low and independent of data window length. Prism design is trivial, so that networks of Prisms can be created, whether at design time or autonomously in real time, to carry out a range of metrological tasks. Prism-based trackers can generate sample-by-sample estimates of frequency, phase, and/or amplitude of a sinusoid. A simulation example of sensor validation demonstrates how Prism signal processing can be used to autonomously detect, track, and compensate for an undesired frequency component in a frequency-based sensor.

Original languageEnglish
Pages (from-to)1233-1237
Number of pages5
JournalMeasurement Techniques
Volume60
Issue number12
DOIs
Publication statusPublished - 8 Mar 2018
Externally publishedYes

ASJC Scopus subject areas

  • Instrumentation
  • Applied Mathematics

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