Signal-Level RFI Localization for Synthetic Aperture Interferometric Radiometer

The Chinese Ocean Salinity Mission (COSM) was successfully launched on November 14, 2024, with the objective of observing global sea surface salinity (SSS). To fulfill this mission, two payloads were onboard, one of which is a key instrument called the microwave imager combined active and passive (M...

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Veröffentlicht in:IEEE transactions on geoscience and remote sensing Jg. 63; S. 1 - 13
Hauptverfasser: Yang, Liu, Jin, Rong, Chen, Ke, Li, Qingxia
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Antenna arrays
Apertures
Array signal processing
Arrays
Data transmission
Interferometry
Kurtosis
Kurtosis spectra
L-band
Localization
Localization method
Location awareness
Microwave imagery
Microwave radiometry
Oscillations
Parabolic reflectors
Payloads
point source characteristic
Radar measurements
Radio frequency interference
radio frequency interference (RFI) detection and localization
Radio signals
Radiometers
raw sampling signal
Salinity
Salinity effects
Scatterometers
Sea surface
Surface salinity
synthetic aperture interferometric radiometer (SAIR)
Synthetic apertures
Vectors
Water pollution
ISSN:0196-2892, 1558-0644
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Zusammenfassung:The Chinese Ocean Salinity Mission (COSM) was successfully launched on November 14, 2024, with the objective of observing global sea surface salinity (SSS). To fulfill this mission, two payloads were onboard, one of which is a key instrument called the microwave imager combined active and passive (MICAP). MICAP comprises L-/C-/K-band 1-D synthetic aperture interferometric radiometers (SAIRs) that share a parabolic reflector, as well as an L-band scatterometer. As evidenced by SMOS, accurately locating low- and mid-level radio frequency interference (RFI) signals for SAIR is challenging due to issues such as relatively low sensitivity and Gibbs oscillations in complex scenarios. Owing to the relatively small number of array elements in 1D-SAIRs and advanced data transmission technology, MICAP has achieved the capability to downlink short-duration array raw sampling data before array signal correlation, providing strong support for identifying low- and mid-level RFI signals in complex scenarios. In this article, a signal-level RFI localization method is proposed. First, the strong RFI signal is eliminated by leveraging the spatial point source characteristics of RFI. Then, low- and mid-level RFI detection and localization are achieved by extracting non-Gaussian RFI signals from Gaussian background signals through the calculation of kurtosis spectra. Simulations demonstrate that the detection rate and localization accuracy for low- and mid-level RFI signals can be significantly improved.
Bibliographie:ObjectType-Article-1
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content type line 14
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2025.3598830