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Location of Radio-Frequency Interference Sources Using the SMAP L-Band Radiometer

机译:使用SMAP L波段辐射计确定射频干扰源的位置

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The Soil Moisture Active/Passive (SMAP) satellite mission measures Earth's radiation in the protected portion of the spectrum at 1.413 GHz (L-band) to retrieve geophysical quantities of the surface, such as soil moisture and the frozen/thawed state of the soil. The presence of radio-frequency interference (RFI) in this band is significant and impacts the quality of SMAP measurements. Knowing the location of the sources of RFI is important, because it can help to identify the source itself and also be used to develop strategies to mitigate its impact of the RFI on the data. This paper presents an algorithm that takes advantage of the viewing geometry of SMAP to locate sources of RFI. The results are validated using known locations of RFI sources and by comparison with the measurements of Soil Moisture and Ocean Salinity (SMOS) and Aquarius, two other satellite missions with L-band microwave radiometers operating in the protected band. Comparison with RFI of known location suggests that the algorithm is accurate to 1-2 km. The median distance between the locations reported by SMOS and this algorithm is 2.27 km. A study of the relationship between the localization error and the number of observations of RFI sources shows that the median localization error is about 2 km with 12 observations and about 1 km with 30 observations.
机译:土壤水分主动/被动(SMAP)卫星任务在1.413 GHz(L波段)的光谱受保护部分测量地球辐射,以检索表面的地球物理量,例如土壤水分和土壤的冻融状态。该频段中射频干扰(RFI)的存在非常重要,并且会影响SMAP测量的质量。知道RFI源的位置很重要,因为它可以帮助识别源本身,还可以用来制定策略来减轻RFI对数据的影响。本文提出了一种算法,该算法利用SMAP的查看几何来定位RFI的源。使用已知的RFI源位置并与土壤水分和海洋盐度(SMOS)和水瓶座的测量结果进行比较,对结果进行了验证。另外两个卫星任务是在受保护的波段中使用L波段微波辐射计。与已知位置的RFI进行比较表明,该算法可精确到1-2 km。 SMOS报告的位置与该算法之间的位置之间的平均距离为2.27 km。对定位误差与RFI源观测数之间关系的研究表明,中位定位误差在12个观测值中约为2 km,在30个观测值中约为1 km。

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