A Nonlinear Counts To Antenna Temperature Algorithm For A Total Power Radiometer With External Calibration And Noise Diode Injection

Abstract

The newest innovation to passive microwave remote sensing technology is the inclusion of noise diodes for radiometric calibration of total power radiometers. Instead of the usual two-point calibration using passive black body sources, now there are four-calibration noise levels, which allow system nonlinearities to be corrected. Conventional approaches linearize the radiometer output "rad-counts" (using the four-point calibration correction) and use a linear transfer function to calculate the antenna temperature (TA) at the radiometer input. This paper presents a novel approach of using a quadratic radiometer transfer function (with nonlinear rad-counts) to derive (TA). This algorithm is tested using on-orbit satellite measurements from the Global Precipitation Measurement (GPM) Microwave Imager (GMI). Empirical results are presented, which show only mille-Kelvin differences between this TA algorithm and the standard TA product provided by NASA.

Publication Date

3-17-2016

Publication Title

2016 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2016

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/USNC-URSI-NRSM.2016.7436259

Socpus ID

84969528760 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84969528760

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