• Journal of Infrared and Millimeter Waves
  • Vol. 36, Issue 4, 481 (2017)
TANG Shun-Xian1、2、3、*, LV Da-Ren1, HE Jian-Xin3, LI Rui3、4, LI Xue-Hua3, and WANG Hao3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    DOI: 10.11972/j.issn.1001-9014.2017.04.017 Cite this Article
    TANG Shun-Xian, LV Da-Ren, HE Jian-Xin, LI Rui, LI Xue-Hua, WANG Hao. AData simulations and surface clutter suppression methods for the geostationary millimeter wave weather radar[J]. Journal of Infrared and Millimeter Waves, 2017, 36(4): 481 Copy Citation Text show less

    Abstract

    Brief introduction of the geostationary Doppler weather radar (GDWR) was described. Secondly, based on the Satellite-Earth geometry model, observational data of GDWR were simulated using the APR-2 data, and the rainfall intensity and velocity field data were analyzed. By combining the characteristics of power spectrum data and time domain signals, the surface clutter was restrained using the Gaussian model adaptive processing method (GMAP) and fifth-order elliptic infinite impulse response ground clutter filter (IIR). The comparisons were carried out between the filtered data and the original data, which indicates that the weather radar echo influenced by the ocean surface clutter can be correctly recovered using IIR and GMAP methods.
    TANG Shun-Xian, LV Da-Ren, HE Jian-Xin, LI Rui, LI Xue-Hua, WANG Hao. AData simulations and surface clutter suppression methods for the geostationary millimeter wave weather radar[J]. Journal of Infrared and Millimeter Waves, 2017, 36(4): 481
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