Internal Calibration System Using Learning Algorithm With Gradient Descent

We present a novel approach to internal calibration of a radar system. A Ku-band radar system with internal calibration paths is designed. Thermal drift of a system is mainly caused by active components, which are a high-power amplifier (HPA) and a low-noise amplifier (LNA). We aimed to reduce the d...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2020-09, Vol.17 (9), p.1503-1507
Hauptverfasser:	Jung, Chan-Yong, Bae, Kyung-Bin, Kim, Dong-Chan, Park, Seong-Ook
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Calibration Drift gradient descent Hardware Indexes internal calibration Ku-band Learning Machine learning Monitoring Noise reduction Power amplifiers Radar Radar equipment Radar systems Switches Synthetic aperture radar synthetic aperture radar (SAR)
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