Abstract
The SMAP satellite is the third scientific research satellite to be equipped with an L-band microwave radiometer, following on from the SMOS and Aquarius. The working frequency band of SMAP is 1.413 GHz, a protected frequency band which is becoming more polluted from a large amount of radio frequency interference (RFI)around the world. In this paper, an automatic processing system that can realize RFI detection, clustering, identification and localization is constructed based on an IDL development platform. Long-term serial cross-polarization data from the SMAP satellite L-band microwave radiometer is used as a data source to realize preliminary detection and localization of nonlinearly varying terrestrial RFI. Localization of the RFI sources has an important guiding significance for the relevant institutions by accelerating the identification of illegal RFI sources so that they can be shut down. Even for RFI sources that are temporarily unable to be turned off, RFI source localization and long-sequence feature analysis are still significant in order to simulate terrestrial RFI transmission antenna patterns and establishing RFI suppression models.
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