Estimation of the Potential Interference Immunity of Radio Reception with Spatial Signal Processing in Multipath Radio-Communication Channels. I. Decameter Range

Metelev, S. A.; Lvov, A. V.

doi:10.1007/s11141-016-9701-y

Cited by 4 publications

(1 citation statement)

References 6 publications

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“…Moreover, future sensors need to use these unprotected bands in order to achieve a specific observation target [22]. This results in fueling a great deal of research into RFI identification in spaceborne microwave radiometer measurements [23][24][25][26][27][28][29][30], and a series of identification methods for this purpose having been proposed [14][15][16][31][32][33]. Improving the accuracy of RFI identification is of great significance to evaluating the accuracy of the inversion of atmospheric and surface parameters of microwave data [34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Detection and Analysis of C-Band Radio Frequency Interference in AMSR2 Data over Land

Qian

Bao

et al. 2019

Remote Sensing

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A simplified generalized radio frequency interference (RFI) detection method and principal component analysis (PCA) method are utilized to detect and attribute the sources of C-band RFI in AMSR2 L1 brightness temperature data over land during 1–16 July 2017. The results show that the consistency between the two methods provides confidence that RFI may be reliably detected using either of the methods, and the only difference is that the scope of the RFI-contaminated area identified by the former algorithm is larger in some areas than that using the latter method. Strong RFI signals at 6.925 GHz are mainly distributed in the United States, Japan, India, Brazil, and some parts of Europe; meanwhile, RFI signals at 7.3 GHz are mainly distributed in Latin America, Asia, Southern Europe, and Africa. However, no obvious 7.3 GHz RFI appears in the United States or India, indicating that the 7.3 GHz channels mitigate the effects of the C-band RFI in these regions. The RFI signals whose position does not vary with the Earth azimuth of the observations generally come from stable, continuous sources of active ground-based microwave radiation, while the RFI signals which are observed only in some directions on a kind of scanning orbit (ascending/descending) mostly arise from reflected geostationary satellite signals.

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