一種L波段相控陣微波輻射計射頻干擾檢測算法
doi: 10.11999/JEIT180203 cstr: 32379.14.JEIT180203
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北京航空航天大學(xué)電子信息工程學(xué)院 ??北京 ??100083
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中國空間技術(shù)研究院西安分院 ??西安 ??710100
Radio-frequency Interference Detection Algorithm for L-band Phased Array Microwave Radiometer
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School of Electronics and Information Engineering, Beihang University, Beijing 100083, China
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China Academy of Space Technology (Xi’an), Xi’an 710100, China
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摘要:
目前,微波輻射計均面臨嚴(yán)重的射頻干擾(RFI)問題,尤其在低頻段。針對一種用于獲取海洋鹽度和土壤濕度的L波段相控陣微波輻射計,該文提出一種射頻干擾檢測算法。首先,簡單介紹了該L波段相控陣微波輻射計系統(tǒng);隨后,詳細介紹該射頻干擾算法,其主要包括RFI初標(biāo)識、RFI滑動窗口1次標(biāo)識、RFI滑動窗口2次標(biāo)識和RFI擴展標(biāo)識等4個步驟;最后,采用該算法對L波段相控陣微波輻射計的實驗數(shù)據(jù)進行處理。實驗結(jié)果均表明:該算法能夠較好地檢測出射頻干擾異常數(shù)據(jù),檢測性能較好。
Abstract:At present, microwave radiometers suffer from serious Radio Frequency Interference (RFI), especially in low frequency. In this paper, a radio frequency detection algorithm is proposed for L-band phased array radiometer, which is used to measure the sea surface salinity and soil moisture. First, the L-band phased array radiometer is introduced in briefly. Secondly, the radio frequency detection algorithm is introduced in details, which consists of the raw RFI flag, the RFI first moving–averaged window flag, the RFI second moving–averaged window flag and the expanded RFI flag. Finally, the experimental data obtained by the L-band phased array radiometer is processed with the proposed RFI detection algorithm. The results indicate that the proposed detection RFI algorithm can effectively detect the RFI contaminated abnormal data, and exhibits good detected ability.
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表 1 L波段相控陣輻射計波束編號對應(yīng)掃描角(°)
波束編號 1 2 3 4 5 6 7 8 9 10 11 12 13 掃描角度 –30 –25 –20 –15 –10 –5 0 5 10 15 20 25 30 下載: 導(dǎo)出CSV
表 3 觀測角33°時的Kurtosis值
波束5 波束6 波束7 波束8 波束9 原始數(shù)據(jù)的$\kappa $值 284.47 254.83 19.50 214.60 129.08 RFI后的$\kappa $值 2.84 2.91 2.83 2.85 2.73 下載: 導(dǎo)出CSV
表 4 觀測角51°時的Kurtosis值
波束5 波束6 波束7 波束8 波束9 原始數(shù)據(jù)的$\kappa $值 587.64 362.80 163.46 158.29 123.89 RFI后的$\kappa $值 2.57 2.58 2.91 2.73 2.70 下載: 導(dǎo)出CSV
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