Conference proceeding
Compressed sensing applied to weather radar
2014 IEEE Geoscience and Remote Sensing Symposium, pp.1832-1835
07/2014
DOI: 10.1109/IGARSS.2014.6946811
Abstract
We propose an innovative meteorological radar, which uses reduced number of spatiotemporal samples without compromising the accuracy of target information. Our approach extends recent research on compressed sensing (CS) for radar remote sensing of hard point scatterers to volumetric targets. The previously published CS-based radar techniques are not applicable for sampling weather since the precipitation echoes lack sparsity in both range-time and Doppler domains. We propose an alternative approach by adopting the latest advances in matrix completion algorithms to demonstrate the sparse sensing of weather echoes. We use Iowa X-band Polarimetric (XPOL) radar data to test and illustrate our algorithms.
Details
- Title: Subtitle
- Compressed sensing applied to weather radar
- Creators
- Kumar Vijay Mishra - University of IowaAnton Kruger - University of IowaWitold F Krajewski - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- 2014 IEEE Geoscience and Remote Sensing Symposium, pp.1832-1835
- Publisher
- IEEE
- DOI
- 10.1109/IGARSS.2014.6946811
- ISSN
- 2153-6996
- eISSN
- 2153-7003
- Language
- English
- Date published
- 07/2014
- Academic Unit
- Civil and Environmental Engineering; Electrical and Computer Engineering
- Record Identifier
- 9984197411102771
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