Abstract
The Compact Ocean Wind Vector Radiometer (COWVR) was developed at the Jet Propulsion Laboratory as a proof of concept technology demonstration mission for the Air Force. COWVR is a fully polarimetric imaging radiometer system operating at 18.7, 23.8, and 33.9 GHz . Its receiver subsystem is based on the Jason-3 advanced microwave radiometer, which was launched in early 2016 and is currently in operation. Its enabling components are presented in this article, including the phase-matched waveguide components, noise injection, receivers, and polarimetric backend units.
Highlights
C OWVR’S RF subsystem consists of the Jason-3 advanced microwave radiometer (AMR) design
The measurement of ocean surface vector winds by a polarimetric microwave radiometer was first demonstrated by the Naval Research Laboratory WindSat radiometer, which was launched in 2003 [1]
Combining two different noise sources, NS1 and NDS2, with the implemented design of the Noise Source Calibration Assembly (NSCA) requires a differential phase within 50° and 120° (Fig. 6 shows the simulated range)
Summary
C OWVR’S RF subsystem consists of the Jason-3 advanced microwave radiometer (AMR) design. Its fully polarimetric radiometer channels are intended to retrieve the ocean surface wind vector, as well as other key environmental parameters such as precipitable water vapor, cloud liquid water, precipitation rate, and sea ice. The measurement of ocean surface vector winds by a polarimetric microwave radiometer was first demonstrated by the Naval Research Laboratory WindSat radiometer, which was launched in 2003 [1]. The measurement of ocean surface vector winds by a polarimetric microwave radiometer was first demonstrated by the Naval Research Laboratory WindSat radiometer, which was launched in 2003 [1] As this was a first-of-its-kind measurement, the system was developed from conventional technology to ensure successful demonstration of the new measurement technique [2] and had to employ a large mass and power (450 kg and 350 W). System uses a novel data retrieval concept to reduce the system complexity, which in turn significantly reduces its cost, mass (60 kg), power (60 W), and volume while seeking to maintain the same level of wind vector retrieval accuracy
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