Detection and Mitigation of Radio Frequency Interference in GNSS-R Data

Kahn-Bao Wu, Y. Jade Morton, Clara Chew

Peer Reviewed

Abstract:	This work investigatesradio frequency interference (RFI) effect on LEO satellite-based GNSS-Reflectometry (GNSS-R) data and presents RFI detection and mitigation results. Specifically, Cyclone Global Navigation Satellite System (CYGNSS) raw intermediate frequency (IF) data will be used in this study. A frequency domain detection method and two mitigation approaches, frequency blanking (FB) and spectrogram blanking (SB), are implemented and applied to the data. The results are evaluated by comparing GNSS-R products, such as Delay Doppler maps (DDM), reflectivity, and soil moisture retrieval, before and after the RFI mitigation process.
Published in:	Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022) September 19 - 23, 2022 Hyatt Regency Denver Denver, Colorado
Pages:	3677 - 3688
Cite this article:	Wu, Kahn-Bao, Morton, Y. Jade, Chew, Clara, "Detection and Mitigation of Radio Frequency Interference in GNSS-R Data," Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022), Denver, Colorado, September 2022, pp. 3677-3688. https://doi.org/10.33012/2022.18482
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