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Mitigation of RFIS for SMOS: A Distributed Approach

机译:减轻SMOS的RFIS:一种分布式方法

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The Soil Moisture and Ocean Salinity (SMOS) satellite was launched by the European Space Agency on November 2, 2009. Its payload, i.e., Microwave Imaging Radiometer with Aperture Synthesis, which is a 2-D L-band interferometric radiometer, measures the brightness temperatures (BTs) in the protected 1400–1427-MHz band. Although this band was preserved for passive measurements, numerous radio frequency interferences (RFIs) are clearly visible in SMOS data. One method to get rid of these interferences is to create a synthetic signal as close as possible to the measured interference and subtract it from the instrument visibilities. In this paper, we describe an approach to create such a signal and on how to use it for geolocalization of the emitters. Then, different methods for assessing the quality of the mitigation are introduced. Due to the complexity of estimating the effects of mitigation globally, it is finally proposed to use mitigation results to create flag maps about the estimated RFI impact, to be associated with BT measurements.
机译:欧洲海洋局于2009年11月2日发射了土壤水分和海洋盐度(SMOS)卫星。其有效载荷,即带有光圈合成的微波成像辐射计,是一种二维L波段干涉辐射计,用于测量亮度。在受保护的1400–1427 MHz频段内的最高温度(BT)。尽管保留了该频段用于无源测量,但在SMOS数据中清晰可见了许多射频干扰(RFI)。消除这些干扰的一种方法是创建一个尽可能接近所测干扰的合成信号,并将其从仪器的可见度中减去。在本文中,我们描述了一种创建此类信号的方法以及如何将其用于发射器的地理定位。然后,介绍了用于评估缓解质量的不同方法。由于估计全球缓解效应的复杂性,最终建议使用缓解结果来创建有关估计RFI影响的标志图,以与BT测量相关联。

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