Abstract
This paper demonstrates how the fully adaptive radar framework can be applied to cloud profiling radars. A simulation based on the GEOS5 nature run dataset is introduced in which the cloud profiling radar continuously adapts its pulse repetition frequency (PRF) such that the unambiguous range is 1.2 times the cloud column height. This process maximizes the (PRF) which would in turn maximize the unambiguous velocity estimate.
Recommended Citation
J. Delong et al., "Fully Adaptive Cloud Profiling Radar Simulation," International Geoscience and Remote Sensing Symposium IGARSS, pp. 10087 - 10090, article no. 8898349, Institute of Electrical and Electronics Engineers, Jul 2019.
The definitive version is available at https://doi.org/10.1109/IGARSS.2019.8898349
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Atmospheric Sensing; Autonomous Sensing; Cloud Profiling Radar; Cognitive Radar; Cognitive Sensing; Fully Adaptive Radar
International Standard Book Number (ISBN)
978-153869154-0
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jul 2019
