Discovery and Resolution for Measurement Anomalies in Type-N Coaxial Mount at 10 MHz

This article analyzes the comparison data of the Type-N coaxial 8478B thermistor mount from the report CCEM.RF-K8.CL. An abnormally low calibration factor at 10 MHz is identified, which is more than 3% lower than that at 50 MHz. Even if combined with reflection coefficients for analysis, the calculated effective efficiency at 10 MHz is still more than 1% lower than that at 50 MHz. However, from the perspectives of loss and substitution errors, the value at 10 MHz should be much closer to that of 50 MHz. After careful analysis, we found that this anomaly is attributed to the radio frequency (RF) signal leaking from the mount to the power meter during measurements at 10 MHz. Then, the direct current (dc) bias provided by the power meter to the mount became abnormal, and the mount’s operating resistance dropped below <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$200~\Omega $ </tex-math></inline-formula>, which should have remained consistent. Therefore, the power meter supplied higher dc power, causing a greater temperature rise in the thermopile, which resulted in a lower measured effective efficiency. According to the above analysis, we designed a plug-in isolator with an inductor-capacitor (LC) circuit to isolate the leakage signals. The anomaly elimination by the proposed isolator for the Type-N coaxial mount at 10 MHz dramatically enhances the accuracy of the calorimetric primary standard in the full frequency range.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/tim.2025.3551151
Primary Topic
Telecommunications and Broadcasting Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Discovery and Resolution for Measurement Anomalies in Type-N Coaxial Mount at 10 MHz

Jinwen Liu, Xiaohai Cui, Xiangjun Li, Wenze Yuan et al.
IEEE Transactions on Instrumentation and Measurement
Telecommunications and Broadcasting Technologies
article

Discovery and Resolution for Measurement Anomalies in Type-N Coaxial Mount at 10 MHz

Jinwen Liu, Xiaohai Cui, Xiangjun Li, Wenze Yuan, Huanxin Li, Sheng Ding, Yong Li, Lu Nie
article en

Abstract

This article analyzes the comparison data of the Type-N coaxial 8478B thermistor mount from the report CCEM.RF-K8.CL. An abnormally low calibration factor at 10 MHz is identified, which is more than 3% lower than that at 50 MHz. Even if combined with reflection coefficients for analysis, the calculated effective efficiency at 10 MHz is still more than 1% lower than that at 50 MHz. However, from the perspectives of loss and substitution errors, the value at 10 MHz should be much closer to that of 50 MHz. After careful analysis, we found that this anomaly is attributed to the radio frequency (RF) signal leaking from the mount to the power meter during measurements at 10 MHz. Then, the direct current (dc) bias provided by the power meter to the mount became abnormal, and the mount’s operating resistance dropped below <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$200~\Omega $ </tex-math></inline-formula>, which should have remained consistent. Therefore, the power meter supplied higher dc power, causing a greater temperature rise in the thermopile, which resulted in a lower measured effective efficiency. According to the above analysis, we designed a plug-in isolator with an inductor-capacitor (LC) circuit to isolate the leakage signals. The anomaly elimination by the proposed isolator for the Type-N coaxial mount at 10 MHz dramatically enhances the accuracy of the calorimetric primary standard in the full frequency range.

IEEE Transactions on Instrumentation and MeasurementVol. 74
National Institute of Metrology (CN), China Jiliang University (CN)
Openalex Percentile: Top 92%
Telecommunications and Broadcasting Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.