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Evaluating Correlation Between Measurement Samples in Reverberation Chambers Using Clustering
Published
Author(s)
Robert Jones, Robert Horansky, Carnot Nogueira, Catherine Remley
Abstract
Traditionally, in reverberation chambers (RC) measurement autocorrelation or correlation-matrix methods have been applied to evaluate measurement correlation. In this article, we introduce the use of clustering based on correlative distance to group correlated measurements. We apply the method to measurements taken in an RC using one and two paddles to stir the electromagnetic fields and applying decreasing angular steps between consecutive paddles' positions. The results – using varying correlation threshold values – demonstrate that the method calculates the number of effective samples and allows discerning outliers, i.e., uncorrelated measurements, and clusters of correlated measurements. This calculation method, if verified, will allow non-sequential stir sequence design and, thereby, reduce testing time.
Conference Dates
June 16, 2023
Conference Location
San Diego, CA, US
Conference Title
101st ARFTG (Automatic Radio Frequency Techniques Group) Microwave Measurement Conference
Jones, R.
, Horansky, R.
, Nogueira, C.
and Remley, C.
(2023),
Evaluating Correlation Between Measurement Samples in Reverberation Chambers Using Clustering, 101st ARFTG (Automatic Radio Frequency Techniques Group) Microwave Measurement Conference , San Diego, CA, US, [online], https://doi.org/10.1109/ARFTG57476.2023.10278668, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=936694
(Accessed October 10, 2025)