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Detection of Radio-Frequency Interference Signal Over Land From FY-3B Microwave Radiation Imager (MWRI)

机译:利用FY-3B微波辐射成像仪(MWRI)检测陆地上的射频干扰信号

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The MicroWave Radiation Imager (MWRI) onboard the FengYun (FY)-3B satellite has five frequencies at 10.65, 18.7, 23.8, 36.5, and 89.0 GHz, each having dual channels at vertical and horizontal polarization states, respectively. It is found that radio-frequency interference (RFI) is present in MWRI data over land. The RFI signals are, in general, detectable from a spectral difference method and a principal component analysis (PCA) method. In particular, the PCA method is applied to derive RFI signals from natural radiations by using the characteristics of natural radiation measurements having all-channel correlations. In the area where data have a higher projection onto the first principle component (PC) mode, RFI is, in general, present. However, both the spectral and PCA methods cannot detect RFI reliably over frozen grounds and scattering surfaces, where the brightness temperature difference between 10.65 and 18.7 GHz is large. Thus, detection is improved through the use of normalized PCA. The new RFI detection algorithm is now working reliably for MWRI applications. It is found that RFI at 10.65 GHz distributes widely over Europe and Japan, and is less popular over the United States and China.
机译:风云(FY)-3B卫星上的微波辐射成像仪(MWRI)具有五个频率,分别为10.65、18.7、23.8、36.5和89.0 GHz,每个频率分别具有处于垂直和水平极化状态的双通道。发现在陆地上的MWRI数据中存在射频干扰(RFI)。通常,RFI信号可通过谱差法和主成分分析(PCA)方法检测到。特别地,通过使用具有全信道相关性的自然辐射测量的特性,将PCA方法应用于从自然辐射导出RFI信号。在数据对第一主成分(PC)模式具有更高投影的区域中,通常会出现RFI。但是,光谱法和PCA方法都无法在冰冻的地面和散射表面上可靠地检测RFI,因为在10.65和18.7 GHz之间的亮温差很大。因此,通过使用标准化的PCA可以改善检测。新的RFI检测算法现在可以在MWRI应用中可靠地运行。发现在10.65 GHz的RFI在欧洲和日本广泛分布,而在美国和中国则不那么流行。

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