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Volume 43 Issue 3
Mar.  2021
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Ling WANG, Feng TIAN, Daiyin ZHU, Fanwang MENG, Di WU. A Clutter Suppression Method for Dual-Polarization Weather Radar Exploiting Spectral Polarimetric Parameters[J]. Journal of Electronics & Information Technology, 2021, 43(3): 555-563. doi: 10.11999/JEIT200605
Citation: Ling WANG, Feng TIAN, Daiyin ZHU, Fanwang MENG, Di WU. A Clutter Suppression Method for Dual-Polarization Weather Radar Exploiting Spectral Polarimetric Parameters[J]. Journal of Electronics & Information Technology, 2021, 43(3): 555-563. doi: 10.11999/JEIT200605

A Clutter Suppression Method for Dual-Polarization Weather Radar Exploiting Spectral Polarimetric Parameters

doi: 10.11999/JEIT200605
Funds:  Civil Aircraft Special Project of the Ministry of Industry and Information Technology (MJ-2018-S-28)
  • Received Date: 2020-07-21
  • Rev Recd Date: 2020-12-21
  • Available Online: 2020-12-28
  • Publish Date: 2021-03-22
  • For removing non-weather echoes from the data of dual-polarization weather radar, a clutter filtering method based on Spectral Polarimetric Parameters (SPP) is presented in this paper. Unlike the traditional time- or frequency-domain clutter suppression methods, this method retains the weather echoes and mitigates clutter according to their differences in the Range Doppler (RD) domain. Firstly, the SPPs are defined by exploiting the polarimetric features in the RD domain. With the help of the morphological method, the binary masks are generated. Then, with the object-oriented idea, the binary masks are labeled as weather-object masks or clutter-object ones. The spectral width is introduced as an additional parameter to select weather-object masks, all of which are added up to form the clutter suppression filter and hence the complete weather information can be remained. The X- and C-band polarized weather radar data are used to demonstrate the effectiveness of the proposed method. As compared with Moving Double spectral Linear Depolarization Ratio(MDsLDR) filter and the time-domain clutter suppression method using threshold factor, the proposed SPP clutter suppression filter is more effective in retaining relatively weak weather information. Moreover, the SPP filter has low computational complexity and can be applied to real time for dual-polarization weather radars working in either Simultaneous Transmission and Simultaneous Reception (STSR) mode or Alternate Transmission and Simultaneous Reception(ATSR) mode.
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  • DOVIAK R J and ZRNIĆ D S. Doppler Radar and Weather Observations[M]. San Diego: Academic Press, 1993.
    DOVIAK R J, BRINGI V, RYZHKOV A, et al. Considerations for polarimetric upgrades to operational WSR-88D radars[J]. Journal of Atmospheric and Oceanic Technology, 2000, 17(3): 257–278. doi: 10.1175/1520-0426(2000)017<0257:CFPUTO>2.0.CO;2
    CHEN Haonan and CHANDRASEKAR V. The quantitative precipitation estimation system for Dallas-Fort Worth (DFW) urban remote sensing network[J]. Journal of Hydrology, 2015, 531: 259–271. doi: 10.1016/j.jhydrol.2015.05.040
    CHEN Haonan, CHANDRASEKAR V, and BECHINI R. An improved dual-polarization radar rainfall algorithm (DROPS2.0): Application in NASA IFloodS field campaign[J]. Journal of Hydrometeorology, 2017, 18(4): 917–937. doi: 10.1175/JHM-D-16-0124.1
    SIGGIA A D and PASSARELLI R E. Gaussian model adaptive processing (GMAP) for improved ground clutter cancellation and moment calculation[C]. The 3rd European Conference on Radar Meteorology (ERAD 2004), Visby, Sweden, 2004: 67–73.
    WARDE D A and TORRES S M. The autocorrelation spectral density for Doppler-weather-radar signal analysis[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(1): 508–518. doi: 10.1109/TGRS.2013.2241775
    WARDE D A and TORRES S M. Staggered-PRT sequences for Doppler weather radars. Part II: Ground clutter mitigation on the NEXRAD network using the CLEAN-AP filter[J]. Journal of Atmospheric and Oceanic Technology, 2017, 34(3): 703–716. doi: 10.1175/jtech-d-16-0072.1
    李海, 任嘉伟, 尚金雷. 一种基于模糊神经网络–模糊C均值聚类的双偏振气象雷达降水粒子分类方法[J]. 电子与信息学报, 2019, 41(4): 809–815. doi: 10.11999/JEIT180529

    LI Hai, REN Jiawei, and SHANG Jinlei. Hydrometeor classification method in dual-polarization weather radar based on fuzzy neural network-fuzzy C-means[J]. Journal of Electronics &Information Technology, 2019, 41(4): 809–815. doi: 10.11999/JEIT180529
    STEPANIAN P M and HORTON K G. Extracting migrant flight orientation profiles using polarimetric radar[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(12): 6518–6528. doi: 10.1109/TGRS.2015.2443131
    MELNIKOV V, LESKINEN M, and KOISTINEN J. Doppler velocities at orthogonal polarizations in radar echoes from insects and birds[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(3): 592–596. doi: 10.1109/LGRS.2013.2272011
    MELNIKOV V M, ISTOK M J, and WESTBROOK J K. Asymmetric radar echo patterns from insects[J]. Journal of Atmospheric and Oceanic Technology, 2015, 32(4): 659–674. doi: 10.1175/JTECH-D-13-00247.1
    胡程, 方琳琳, 王锐, 等. 昆虫雷达散射截面积特性分析[J]. 电子与信息学报, 2020, 42(1): 140–153. doi: 10.11999/JEIT190611

    HU Cheng, FANG Linlin, WANG Rui, et al. Analysis of insect RCS characteristics[J]. Journal of Electronics &Information Technology, 2020, 42(1): 140–153. doi: 10.11999/JEIT190611
    沈妍琰, 黄兴友, 黄书荣, 等. 基于贝叶斯分类器的多普勒天气雷达海浪回波识别和效果检验[J]. 海洋科学, 2020, 44(6): 83–90. doi: 10.11759/hykx20191011001

    SHEN Yanyan, HUANG Xingyou, HUANG Shurong, et al. Identification and validation of sea-wave echoes collected by a Doppler weather radar based on a Bayes classifier[J]. Marine Sciences, 2020, 44(6): 83–90. doi: 10.11759/hykx20191011001
    SALTIKOFF E, CHO J Y N, TRISTANT P, et al. The threat to weather radars by wireless technology[J]. Bulletin of the American Meteorological Society, 2016, 97(7): 1159–1167. doi: 10.1175/BAMS-D-15-00048.1
    YIN Jiapeng, UNAL C M H, and RUSSCHENBERG H W J. Narrow-band clutter mitigation in spectral polarimetric weather radar[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(8): 4655–4667. doi: 10.1109/TGRS.2017.2696263
    YIN Jiapeng, UNAL C, SCHLEISS M, et al. Radar target and moving clutter separation based on the low-rank matrix optimization[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(8): 4765–4780. doi: 10.1109/TGRS.2018.2837051
    KRASNOV O A and YAROVOY A G. Polarimetric micro-Doppler characterization of wind turbines[C]. The 10th European Conference on Antennas and Propagation (EuCAP), Davos, Switzerland, 2016.
    YIN Jiapeng, UNAL C, and RUSSCHENBERG H. Object-orientated filter design in spectral domain for polarimetric weather radar[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 57(5): 2725–2740. doi: 10.1109/TGRS.2018.2876632
    SOILLE P. Morphological Image Analysis: Principles and Applications[M]. 2nd ed. New York: Springer, 2004.
    蔡兴泉, 杨哲, 蔡润博, 等. 基于漫水填充的图像骨架提取方法[J]. 系统仿真学报, 2020, 32(8): 1455–1464. doi: 10.16182/j.issn1004731x.joss.19-VR0443

    CAI Xingquan, YANG Zhe, CAI Runbo, et al. Image skeleton extraction method based on flood-fill[J]. Journal of System Simulation, 2020, 32(8): 1455–1464. doi: 10.16182/j.issn1004731x.joss.19-VR0443
    UNAL C. Spectral polarimetric radar clutter suppression to enhance atmospheric echoes[J]. Journal of Atmospheric and Oceanic Technology, 2009, 26(9): 1781–1797. doi: 10.1175/2009JTECHA1170.1
    朱宸莹. 双偏振天气雷达信号处理[D]. [硕士论文], 北京: 北京理工大学, 2016.

    ZHU Chenying. Signal processing on dual-polarization weather radar[D]. [Master dissertation], Beijing: Beijing Institute of Technology, 2016.
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