GNSS World of China

Volume 48 Issue 3
Jun.  2023
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WANG Hongguang, ZHANG Lijun, WANG Qiannan, HAN Jie. Lower atmospheric duct monitoring based on ground-based GNSS occultation signal[J]. GNSS World of China, 2023, 48(3): 39-43. doi: 10.12265/j.gnss.2023046
Citation: WANG Hongguang, ZHANG Lijun, WANG Qiannan, HAN Jie. Lower atmospheric duct monitoring based on ground-based GNSS occultation signal[J]. GNSS World of China, 2023, 48(3): 39-43. doi: 10.12265/j.gnss.2023046

Lower atmospheric duct monitoring based on ground-based GNSS occultation signal

doi: 10.12265/j.gnss.2023046
  • Received Date: 2023-03-15
  • The atmospheric duct has a significant impact on the propagation of ultra-short and the above radio waves. In order to solve the problem of real-time acquisition of the parameters of the marine atmospheric duct, it is proposed to extract the environmental information of the marine atmospheric duct from the received signals of the ground-based GNSS satellite occultation process. The parabolic equation method is used to realize the forward model for predicting the received power of ground-based GNSS occultation signals from ducting parameters. Through combining the forward model, the parameterized atmospheric duct model and the objective function with genetic algorithm, the inversion algorithm of ducting parameters based on the received power of GNSS occultation signal is realized. The influence of standard refraction, surface duct and elevated duct on GNSS occultation signal received near the ground is simulated. Through experiments, the measured occultation signals of Beidou, GLONASS and GPS under different refraction environments are obtained, and the measured GNSS occultation signals are used to retrieve the low-altitude atmospheric duct. The results show that the adopted method can effectively monitor and retrieve the low-altitude atmospheric duct, which has the characteristics of passive remote sensing.

     

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  • [1]
    PAPPERT R A, PAULUS R A, TAPPERT F D, Sea echo in tropospheric ducting environments[J]. Radio science, 1992, 27(2): 189-209. DOI: 10.1029/91RS02962
    [2]
    ROGERS L T, HATTAN C P, KROLIK J L. Using radar sea echo to estimate surface layer refractivity profiles[C]// IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No. 99CH36293), 2002 .
    [3]
    KARIMIAN A, YARDIM C, GERSTOFT P, et al. Refractivity estimation from sea clutter: an invited review[J]. Radio science, 2011, 46(6): 1-16. DOI: 10.1029/2011RS004818
    [4]
    AO C O. Effect of ducting on radio occultation measurements: an assessment based on high-resolution radiosonde soundings[J]. Radio science, 2007, 42(2): 1-15. DOI: 10.1029/2006RS003485
    [5]
    FENG X L, XIE F Q, AO C O, et al. Ducting and biases of GPS radio occultation bending angle and refractivity in the moist lower troposphere[J]. Journal of atmospheric and oceanic technology, 2020, 37(6): 1013-1025. DOI: 10.1175/JTECH-D-19-0206.1
    [6]
    BEYERLE G, HOCKE K, WICKERT J, et al. GPS radio occultations with CHAMP: a radio holographic analysis of GPS signal propagation in the troposphere and surface reflections[J]. Journal of geophysical research: atmospheres , 2002, 107(24):4802. DOI: 10.1029/2001JD001402
    [7]
    WANG H G, WU Z S, KANG S F, et al. Monitoring the marine atmospheric refractivity profiles by ground-based GPS occultation[J]. IEEE geoscience & remote sensing letters, 2013, 10(4): 962-965. DOI: 10.1109/LGRS.2012.2227294
    [8]
    WANG H G, WU Z S, LIN L K, et al. Retrieving evaporation duct heights from power of ground-based GPS occultation signal[J]. Progress in electromagnetics research M, 2013(30): 183-194. DOI: 10.2528/PIERM13022602
    [9]
    张利军, 王红光, 李建儒, 等. 基于AIS信号的低空大气波导监测试验分析[J]. 电波科学学报, 2023, 38(1): 108-113.
    [10]
    DOCKERY D, KUTTLER J R, An improved impedance-boundary algorithm for fourier split-step solutions of the parabolic wave equation[J]. IEEE transactions on antennas and propagation, 1996, 44(12): 1592-1599. DOI: 10.1109/8.546245
    [11]
    黄立峰, 刘成国, 姜明波, 等. 黄海海域低空大气波导发生概率和特征量统计分析[J]. 电波科学学报, 2022, 37(6): 1080-1088.
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