Experimental determination of the higher electric field level inside an overmoded reverberation chamber using the generalized extreme value distribution
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Reverberation chamber (RC), in which a complex electromagnetic environment is created, is of great interest as a versatile test and measurement tool, and its performance is conveniently evaluated through the field statistics. Following a previous paper in which the generalized extreme value (GEV) distribution was proposed to model the maximum field inside an RC, this work presents an experimental validation of the GEV use for the overmoded RC. The electric field is measured with a small sensor for a large number of points inside the RC, and the GEV parameters are accurately estimated. Since the maximum field distribution for this overmoded RC is found to be of reverse Weibull type, the field distribution is right bounded by a higher level that can be determined.
KeywordsGeneralized extreme value distribution High-intensity radiation field (HIRF) Higher-order statistics Maximum value Reverberation chamber
The authors would like to acknowledge M. Thierry Sarrebourse for conducting the measurements.
We thank the reviewers for their many suggestions to improve this text.
- 1.International Electrotechnical Commission, IEC 61000–4–21 (2003) Electromagnetic compatibility: reverberation chamber test methods. International Electrotechnical Commission (IEC), GenèveGoogle Scholar
- 3.Ladbury JM, Koepke GH, Camell DG (1999) Evaluation of the NASA Langley Research Center Mode-Stirred Chamber Facility. National institute of standards and technology 1508:288, Citation: NIST TN—1508Google Scholar
- 5.Lehman TH, Freyer GJ (1997) Characterization of the maximum test level in a reverberation chamber. IEEE Int. Symposium on EMC, Austin, Texas USA, pp 44–47Google Scholar
- 8.Orjubin G, Wong MF (2008) Use of the generalized extreme value distribution to model the maximums of the field inside a reverberation chamber. XXIX General Assembly, Chicago, USAGoogle Scholar
- 12.Kotz S, Nadarajah S (2001) Extreme value distributions: theory and applications. World Scientific, New JerseyGoogle Scholar