Abstract

The aim of this study is to examine the characterization of a thermal isolation section (TIS) for a waveguide microcalorimeter, used to characterize the effective efficiency of a thermistor power sensor (TPS). The power loss in the TIS has been analyzed for both the dielectric and conductor losses. Its effect on the thermopile output has been assessed using a foil short method through analysis of the heating ratio. This method involves a one-off measurement of the microcalorimeter system with the foil short before the unknown power sensor measurement and does not require additional S-parameters measurements of the isolation section. The estimated value of the heating ratio effect has been obtained between 1 for a fully reflected signal from the input of the unknown power sensor and 2 for a perfectly matched power sensor. The full analytical model and an estimated model for the heating ratios have been calculated for the National Physical Laboratory (NPL)'s WG25 (WR15) microcalorimeter and a commercial TPS. The analytical model has been applied to an effective efficiency measurement, and good agreement has been obtained when compared with the existing methodology used at NPL. This model can be applied to any metallic waveguide-type TIS in other bands. A rigorous uncertainty analysis of the analytical model for the heating ratio is also presented and shows an expanded uncertainty between 0.008 and 0.023 ( k = 2) for this microcalorimeter.

Highlights

  • P RACTICAL applications using high-frequency electromagnetic wave techniques have been growing in recent years, such as 5G wireless technology, autonomous vehicles, the Internet of Things, and high-speed digital communications [1]–[4]

  • The estimated heating ratio has been used as a rough estimate of the heating ratio and does not include all the parameters given in (9.b)

  • It can be seen that HR and HRe have good agreement to be within the calculated HR uncertainty, except at 50 GHz, which shows the maximum deviation between the calculated and estimated of 0.023 while the uncertainty is 0.018

Read more

Summary

Introduction

P RACTICAL applications using high-frequency electromagnetic wave techniques have been growing in recent years, such as 5G wireless technology, autonomous vehicles, the Internet of Things, and high-speed digital communications [1]–[4]. These systems use microwave power to carry the information and signals can be lost within a system or when transferring between the systems. These systems should be compliant with regulatory requirements, such as recommends for unwanted radiation up to 300 GHz by the International Telecommunication Union Radio Communication Division [5]. The Associate Editor coordinating the review process was Dr Dimitrios Georgakopoulos. (Corresponding author: Murat Celep.)

Objectives
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call