Title :
Aquarius RFI Detection and Mitigation Algorithm: Assessment and Examples
Author :
Le Vine, D.M. ; de Matthaeis, Paolo ; Ruf, C.S. ; Chen, Donald Donglong
Author_Institution :
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Abstract :
Aquarius is an L-band radiometer system designed to map sea surface salinity from space. This is a sensitive measurement, and protection from radio frequency interference (RFI) is important for success. An initial look at the performance of the Aquarius RFI detection and mitigation algorithm is reported together with examples of the global distribution of RFI at the L-band. To protect against RFI, Aquarius employs rapid sampling (10 ms) and a “glitch” detection algorithm that looks for outliers among the samples. Samples identified as RFI are removed, and the remainder is averaged to produce an RFI-free signal for the salinity retrieval algorithm. The RFI detection algorithm appears to work well over the ocean with modest rates for false alarms (5%) and missed detection. The global distribution of RFI coincides well with population centers and is consistent with observations reported by the Soil Moisture and Ocean Salinity mission.
Keywords :
geophysical signal processing; oceanographic techniques; radiofrequency interference; radiometry; remote sensing; salinity (geophysical); Aquarius RFI detection; L-band radiometer system; RFI protection; SMOS mission; Soil Moisture and Ocean Salinity mission; glitch detection algorithm; mitigation algorithm; radio frequency interference protection; rapid sampling; sea surface salinity; Algorithm design and analysis; L-band; Ocean temperature; Orbits; Radiometry; Sea surface; Interference; microwave radiometry; remote sensing;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2013.2282595