Noise temperature measurement uncertainty analysis using Monte Carlo simulations

Author

Smith, R. Joe ; Weatherspoon, Mark H.

Author_Institution

Dept. of Electr. & Comput. Eng., Florida A&M Univ.-Florida State Univ. Coll. of Eng., Tallahassee, FL, USA

fYear

2007

fDate

8-8 June 2007

Firstpage

1

Lastpage

7

Abstract

Noise temperature measurement uncertainty is analyzed for a commercial noise measurement system. The system noise equation is used with measured data sets to develop a program to determine the receiver parameter uncertainties through the use of a Monte Carlo (MC) simulation, a non-linear fitting routine, and an uncertainty extraction routine. Noise temperature uncertainty results are presented for both correlated and uncorrelated underlying uncertainties. In addition, the dependence of the noise temperature uncertainty on receiver parameter uncertainties is also explored and the most significant results are presented.

Keywords

Monte Carlo methods; measurement uncertainty; microwave measurement; noise measurement; signal processing equipment; Monte Carlo simulations; commercial noise measurement system; noise equation; noise temperature measurement uncertainty; nonlinear fitting routine; receiver parameter uncertainty; uncertainty extraction routine; Impedance; Monte Carlo methods; Noise figure; Noise measurement; Nonlinear equations; Power measurement; Temperature dependence; Temperature measurement; Tuners; Uncertain systems; Monte Carlo (MC) method; noise measurement system; noise power; noise temperature; receiver parameter uncertainties;

fLanguage

English

Publisher

ieee

Conference_Titel

ARFTG Conference, 2007 69th

Conference_Location

Honolulu, HI

Print_ISBN

978-0-7803-9762-0

Electronic_ISBN

978-0-7803-9763-7

Type

conf

DOI

10.1109/ARFTG.2007.5456314

Filename

5456314