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Correlation-Matrix Approaches for Testing Wireless Devices in Reverberation Chambers

Published by National Institute of Standards and Technology | National Institute of Standards and Technology | Metadata Last Checked: August 02, 2025 | Last Modified: 2022-12-21 00:00:00
The data correspond to the paper Practical Correlation-Matrix Approaches for Standardized Testing of Wireless Devices in Reverberation Chambers. Abstract: We extend the autocorrelation-based approaches currently used in standards to full correlation matrix-based approaches in order to identify correlation between both spatially adjacent and non-adjacent samples in reverberation-chamber measurements. We employ a scalar metric that allows users to identify the number of effectively uncorrelated samples in new types of stirring sequences. To make these approaches practical and enhance their accuracy, we implement a thresholding technique that retains correlation related to important aspects of chamber configuration such as loading and undermoded conditions. We develop a method to propagate uncertainty in the complex correlation coefficients through to the number of effective samples for a given reverberation-chamber set-up by use of a bootstrap technique that is accurate even for highly skewed distributions of correlation coefficients. We further apply this method in a sensitivity studyregarding the choice threshold value. Agreement with existing approaches in determining the number of effectively uncorrelated samples is presented for a measurement example where spatially adjacent samples are utilized. Examples are then illustrated for non-spatially-adjacent correlated samples at microwave and millimeter-wave frequencies.

Resources

18 resources available

  • Figure 8

    EXCEL FILES WITH ROWS AND COLUMNS CORRESPONDING TO CORRELATION MATRIX ENTRIES
  • Figure 2a

    TEXT/CSV
  • Figure 2b

    TEXT/CSV
  • Figure 7

    EXCEL FILES WITH LABELED COLUMNS
  • Figure 5

    EXCEL FILES WITH LABELLED COLUMNS
  • Figure 12

    EXCEL FILE WITH ONE COLUMN CORRESPONDING TO THE CORRELATION MATRIX VALUES
  • Figure 14

    EXCEL FILES WITH LABELED COLUMNS
  • Figure 3

    EXCEL FILE WITH LABELED COLUMNS
  • Figure 9 Matlab Script

    .M FILE WITH SCRIPT; .MAT FILES WITH DATA
  • Figure 10

    FOR EACH EXCEL FILE, THE NOMINAL NEFF VALUES ARE IN COL. 2 AND THE 95% CONFIDENCE INTERVAL IS IN COL. 7
  • Figure 9

    EXCEL FILES WITH COLUMN HEADINGS LABELED.
  • Figure 6

    FOR EACH .XLSX FILE: COL. 1: X-AXIS DATA; COL. 2: COUNTS FOR HISTOGRAM; COL. 3: NEFF AS FUNCTION OF THRESHOLD
  • Figure 11

    EXCEL FILES WITH LABELLED COLUMNS
  • Figure 13

    THREE EXCEL FILES WITH LABELLED COLUMNS FOR EACH APPROACH. THE FREQUENCY AVERAGING BANDWIDTH IS GIVEN IN THE NAME OF THE FILE.
  • Figure 4b

    APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET
  • Figure 4a

    EXCEL FILE WITH LABELED COLUMNS.
  • Figure 15

    EXCEL FILES WITH LABELED COLUMNS
  • Resource 18

    TEXT/PLAIN

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