|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.|
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
|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.
ION Members/Non-Members: 1 Download Credit