Data quality analysis and enhancement of an airborne weather radar for scientific and multi-mission operations

Ramesh Nepal; Yan Rockee Zhang; Guifu Zhang; Alexander Ryzhkov; William Blake

doi:10.1117/12.2304649

4 May 2018 Data quality analysis and enhancement of an airborne weather radar for scientific and multi-mission operations

Ramesh Nepal, Yan Rockee Zhang, Guifu Zhang, Alexander Ryzhkov, William Blake

Author Affiliations +

Proceedings Volume 10633, Radar Sensor Technology XXII; 1063308 (2018) https://doi.org/10.1117/12.2304649
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

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.

Conference Presentation

Citation Download Citation

Ramesh Nepal, Yan Rockee Zhang, Guifu Zhang, Alexander Ryzhkov, and William Blake "Data quality analysis and enhancement of an airborne weather radar for scientific and multi-mission operations", Proc. SPIE 10633, Radar Sensor Technology XXII, 1063308 (4 May 2018); https://doi.org/10.1117/12.2304649

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