Aquarius RFI detection and mitigation

Vine, David M. Le; Matthaeis, Paolo de; Ruf, Christopher; Chen, D.; Dinnat, Emmanuel P.

doi:10.1109/igarss.2013.6723148

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…Previous microwave radiometers operating in L-band such as Soil Moisture and Ocean Salinity (SMOS) [25][26][27][28] and Aquarius [29,30] have only one frequency channel occupying the protected portion of L-band; thus, it has not been possible to determine which frequencies within this spectrum are susceptible to RFI contamination. Due to its 16 × 1.5 MHz frequency channels, on the other hand, SMAP has enabled such analyses.…”

Section: Spectral Distribution Of L-band Rfimentioning

confidence: 99%

Characteristics of the Global Radio Frequency Interference in the Protected Portion of L-Band

et al. 2021

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The National Aeronautics and Space Administration’s (NASA’s) Soil Moisture Active–Passive (SMAP) radiometer has been providing geolocated power moments measured within a 24 MHz band in the protected portion of L-band, i.e., 1400–1424 MHz, with 1.2 ms and 1.5 MHz time and frequency resolutions, as its Level 1A data. This paper presents important spectral and temporal properties of the radio frequency interference (RFI) in the protected portion of L-band using SMAP Level 1A data. Maximum and average bandwidth and duration of RFI signals, average RFI-free spectrum availability, and variations in such properties between ascending and descending satellite orbits have been reported across the world. The average bandwidth and duration of individual RFI sources have been found to be usually less than 4.5 MHz and 4.8 ms; and the average RFI-free spectrum is larger than 20 MHz in most regions with exceptions over the Middle East and Central and Eastern Asia. It has also been shown that, the bandwidth and duration of RFI signals can vary as much as 10 MHz and 10 ms, respectively, between ascending and descending orbits over certain locations. Furthermore, to identify frequencies susceptible to RFI contamination in the protected portion of L-band, observed RFI signals have been assigned to individual 1.5 MHz SMAP channels according to their frequencies. It has been demonstrated that, contrary to common perception, the center of the protected portion can be as RFI contaminated as its edges. Finally, there have been no significant correlations noted among different RFI properties such as amplitude, bandwidth, and duration within the 1400–1424 MHz band.

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Section: Spectral Distribution Of L-band Rfimentioning

confidence: 99%

Characteristics of the Global Radio Frequency Interference in the Protected Portion of L-Band

et al. 2021

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Evaluation of Application Effectiveness on Ocean Salinity Satellite RFI Detection Algorithms

Zhang,

Li,

Qiu

et al. 2024

Space Sci Technol

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In order to alleviate the impact of radio frequency interference (RFI) on the accuracy of ocean salinity satellite remote sensing, scholars have proposed various detection and labeling algorithms for RFI based on remote sensing data from the SMOS satellite. However, the signals that generate RFI are diverse, and the factors that influence remote sensing observation data are complex. Existing algorithms often target specific hypothetical conditions, lacking general applicability, which frequently leads to an important gap between the nominal performance of the literature and practical applications, posing great challenges to data labeling work. To address this problem, this study conducted a comprehensive and systematic analysis of RFI simulation based on scene modeling, algorithm modeling, and RFI energy modeling. Three typical RFI detection algorithms were selected, and the simulation scene was divided into 3 typical scenes: ocean, land, and sea–land scenes, and RFI was analyzed in terms of weak, moderate, strong, and extremely strong based on energy. Through simulation analysis and evaluation of RFI detection algorithms, lookup tables for algorithm selection, detection rate, and false-positive rate have been established for different intensities of independent RFI sources and multiple nearby RFI sources in the above scenario. These lookup tables have universal guiding significance and provide reliability assurance in complex situations.

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Aquarius RFI detection and mitigation

Cited by 2 publications

References 6 publications

Characteristics of the Global Radio Frequency Interference in the Protected Portion of L-Band

Characteristics of the Global Radio Frequency Interference in the Protected Portion of L-Band

Evaluation of Application Effectiveness on Ocean Salinity Satellite RFI Detection Algorithms

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