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Correlation-Matrix Approaches For Testing Wireless Devices In Reverberation Chambers

National Institute of Standards and Technology

@usgov.national_institute_of_standard_correlation_matrix_appr_9bad8132

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Correlation-Matrix Approaches For Testing Wireless Devices In Reverberation Chambers

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.
Organization: National Institute of Standards and Technology
Last updated: 2023-03-18T13:08:20.007171
Tags: cellular-device-measurements-metrology-for-wireless-systems-millimeter-wave-metrology-millimete

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Figure 2b

@usgov.national_institute_of_standard_correlation_matrix_appr_9bad8132.figure_2b
  • 3.25 kB
  • 65 rows
  • 2 columns
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CREATE TABLE figure_2b (
  "offset" BIGINT,
  "meas1" DOUBLE
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