Evaluating Correlation Between Measurement Samples in Reverberation Chambers Using Clustering

Evaluating Correlation Between Measurement Samples in Reverberation Chambers Using ClusteringAbstract: 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.Keywords: Correlation, Pearson correlation coefficient (PCC), reverberation chambers (RC), mode-stirring samples, correlative distance, clustering analysis, adjacency matrix.

Data and Resources

Field Value
accessLevel public
accrualPeriodicity irregular
bureauCode {006:55}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier ark:/88434/mds2-2986
issued 2023-04-21
landingPage https://data.nist.gov/od/id/mds2-2986
language {en}
license https://www.nist.gov/open/license
modified 2023-04-06 00:00:00
programCode {006:045}
publisher National Institute of Standards and Technology
resource-type Dataset
source_datajson_identifier true
source_hash 19123cac6514a63eda722b94879959f1387c1ff4
source_schema_version 1.1
theme {Electronics:Electromagnetics}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • adjacency-matrix
  • clustering-analysis
  • correlation
  • correlative-distance
  • mode-stirring-samples
  • pearson-correlation-coefficient-pcc
  • reverberation-chambers-rc
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Carnot Leal Nogueira
maintainer_email carnot.nogueira@nist.gov
metadata_created 2025-09-24T16:46:48.191341
metadata_modified 2025-09-24T16:46:48.191350
notes Evaluating Correlation Between Measurement Samples in Reverberation Chambers Using ClusteringAbstract: 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.Keywords: Correlation, Pearson correlation coefficient (PCC), reverberation chambers (RC), mode-stirring samples, correlative distance, clustering analysis, adjacency matrix.
num_resources 12
num_tags 15
title Evaluating Correlation Between Measurement Samples in Reverberation Chambers Using Clustering