Detection Strategies for Radio Frequency Interferences Corrupting FMCW L-Band SAR Data
- Resource Type
- Conference
- Authors
- Natale, A.; Di Vincenzo, A.; De Maio, A.; Berardino, P.; Esposito, C.; Fusco, A.; Lanari, R.; Perna, S.
- Source
- IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2023 - 2023 IEEE International. :6775-6778 Jul, 2023
- Subject
- Aerospace
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Geoscience
Signal Processing and Analysis
Image recognition
Frequency modulation
Geoscience and remote sensing
Microwave theory and techniques
Radar polarimetry
Detection algorithms
Synthetic aperture radar
Synthetic Aperture Radar (SAR)
airborne SAR
Frequency Modulated Continuous Wave (FMCW) SAR
Radio Frequency Interferences (RFI)
RFI detection
- Language
- ISSN
- 2153-7003
It is widely recognized that SAR images can suffer from the presence of RFI, especially at the low frequencies of the microwave spectrum. Such nuisance signals can significantly impair the quality of the SAR data with unwanted effects on the final products. This paper describes a processing strategy for the detection and cancellation of RFI signals corrupting airborne SAR raw-data. In addition, the performance of the proposed strategy is assessed by exploiting airborne L-band FMCW-SAR data.