Sense and Avoid Airborne Radar Implementations on a Low-Cost Weather Radar Platform
AbstractTraditionally, multi-mission applications in airborne radar are implemented through very expensive phased array architectures. The emerging applications from civilian surveillance, on the other hand, prefer low-cost and low-SWaP (space, weight and power) systems. This study introduces asoftware-basedsolutionthatintendstouselow-costhardwareandadvancedalgorithms/processing backend to meet the remote sensing goals for multi-mission applications. The low-cost airborne radar platform from Garmin International is used as a representative example of the system platform. The focus of this study is the optimal operating mode, data quality and algorithm development in cases of all-weather sense and avoid (SAA) applications. The main challenges for the solution are the resolution limitation due to the small aperture size, limitations from the ﬁeld-of-view (FOV) and the scan speed from mechanical scanning. We show that the basic operational needs can be satisﬁed with software processing through various algorithms. The concept and progress of polarimetric airborne radar for dual-function operations at X-band Generation 1 (PARADOX1) based on the platform are also discussed. View Full-Text
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Nepal, R.; Zhang, Y.; Blake, W. Sense and Avoid Airborne Radar Implementations on a Low-Cost Weather Radar Platform. Aerospace 2017, 4, 11.
Nepal R, Zhang Y, Blake W. Sense and Avoid Airborne Radar Implementations on a Low-Cost Weather Radar Platform. Aerospace. 2017; 4(1):11.Chicago/Turabian Style
Nepal, Ramesh; Zhang, Yan; Blake, William. 2017. "Sense and Avoid Airborne Radar Implementations on a Low-Cost Weather Radar Platform." Aerospace 4, no. 1: 11.
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