@inproceedings{413098235b9e4ef79aeb5d81cbe6888e,
title = "Data quality analysis and enhancement of an airborne weather radar for scientific and multi-mission operations",
abstract = "This paper describes the signal processing framework for scientific application of an airborne radar originally used for aviation hazard monitoring. The specific radar being developed is the {"}PARADOX{"} radar, which is based on the GSX-70 and GSX-80 radar system hardware from Garmin International. The processing framework is designed to enhance the resolution, improve signal processing, and achieve {"}research-grade{"} data quality control for both application domains. The processing framework is also applicable to other multi-mission radars that seek optimal weather measurement performance using hardware designed for other functions. A validation method of the processing framework through case analysis and comparison with ground-based radar measurements is described.",
keywords = "Airborne Weather Radar, Aviation, Data Quality, Multi-Mission",
author = "Ramesh Nepal and Zhang, \{Yan R.\} and Guifu Zhang and Alexander Ryzhkov and William Blake",
note = "Publisher Copyright: {\textcopyright} 2018 SPIE.; Radar Sensor Technology XXII 2018 ; Conference date: 16-04-2018 Through 18-04-2018",
year = "2018",
doi = "10.1117/12.2304649",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Armin Doerry and Ranney, \{Kenneth I.\}",
booktitle = "Radar Sensor Technology XXII",
address = "United States",
}