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Volume 41 Issue 1
Jan.  2019
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Hao LI, Hailiang LU, Rui YU, Rongchuan LÜ, Yinan LI, Jiakun WANG, Jungang MIAO. Radio-frequency Interference Detection Algorithm for L-band Phased Array Microwave Radiometer[J]. Journal of Electronics & Information Technology, 2019, 41(1): 172-179. doi: 10.11999/JEIT180203
Citation: Hao LI, Hailiang LU, Rui YU, Rongchuan LÜ, Yinan LI, Jiakun WANG, Jungang MIAO. Radio-frequency Interference Detection Algorithm for L-band Phased Array Microwave Radiometer[J]. Journal of Electronics & Information Technology, 2019, 41(1): 172-179. doi: 10.11999/JEIT180203

Radio-frequency Interference Detection Algorithm for L-band Phased Array Microwave Radiometer

doi: 10.11999/JEIT180203
Funds:  The National Natural Science Foundation of China (41706204), QIAN Xuesen Young Innovation Foundation (QXSCXJJ2017-504), The Independent Investigate Project of China Academy of Space Technology (Xi’an) (Y17-KJCX-04)
  • Received Date: 2018-02-28
  • Rev Recd Date: 2018-10-10
  • Available Online: 2018-10-22
  • Publish Date: 2019-01-01
  • 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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