一种极化-多普勒气象雷达的射频干扰滤波方法

殷加鹏 李健兵 庞晨 李永祯 王雪松

殷加鹏, 李健兵, 庞晨, 等. 一种极化-多普勒气象雷达的射频干扰滤波方法[J]. 雷达学报, 待出版. doi: 10.12000/JR21102
引用本文: 殷加鹏, 李健兵, 庞晨, 等. 一种极化-多普勒气象雷达的射频干扰滤波方法[J]. 雷达学报, 待出版. doi: 10.12000/JR21102
YIN Jiapeng, LI Jianbing, PANG Chen, et al. A Radio Frequency Interference Mitigation Method for Polarimetric Doppler Weather Radar[J]. Journal of Radars, in press. doi: 10.12000/JR21102
Citation: YIN Jiapeng, LI Jianbing, PANG Chen, et al. A Radio Frequency Interference Mitigation Method for Polarimetric Doppler Weather Radar[J]. Journal of Radars, in press. doi: 10.12000/JR21102

一种极化-多普勒气象雷达的射频干扰滤波方法

doi: 10.12000/JR21102
基金项目: 国家自然科学基金(61971429, 61771479),博士后国际交流计划引进项目(48132),湖南省科技创新人才计划优秀博士后创新人才项目(2020RC2042)
详细信息
    作者简介:

    殷加鹏(1990–),男,浙江人,国防科技大学副研究员,主要研究方向为极化雷达信号处理

    李健兵(1979–),男,湖南人,国防科技大学研究员、博导,主要研究方向为新体制雷达、空间信息获取与处理

    庞晨:庞 晨(1986–),男,湖北人,国防科技大学副研究员,主要研究方向为极化信息处理、雷达目标分辨与识别技术

    李永祯(1977–),男,内蒙古人,国防科技大学研究员、博导,主要研究方向为雷达极化信息处理、空间电子对抗、目标检测与识别

    王雪松(1972–),男,内蒙古人,国防科技大学教授、博导,主要研究方向为新体制雷达技术、极化成像与识别、智能电子防御与电子对抗

    通讯作者:

    殷加鹏 yinjiapeng@nudt.edu.cn

  • 责任主编:李海 Corresponding Editor: LI Hai
  • 中图分类号: TN95

A Radio Frequency Interference Mitigation Method for Polarimetric Doppler Weather Radars

Funds: The National Natural Science Foundation of China (61971429, 61771479), Postdoctoral International Exchange Program (48132), Science and Technology Innovation Program of Hunan Province(2020RC2042)
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  • 摘要: 为了滤除极化-多普勒气象雷达中的射频干扰,该文提出利用谱极化滤波器,适用于同时发射同时接收(STSR)和分时发射同时接收(ATSR)体制的极化气象雷达。首先利用C波段STSR气象雷达的实测数据研究射频干扰的时域、频域和极化域特性,建立射频干扰信号模型。然后,在X波段ATSR雷达的数据中仿真加入射频干扰,验证谱极化滤波器的有效性。总体看来,在ATSR雷达中利用谱极化滤波器可以有效保留降雨目标并且滤除射频干扰。最后,针对STSR雷达提出利用数据分集的方法,STSR雷达的实测数据可以模拟ATSR雷达数据,再利用谱极化滤波器实现射频干扰滤除,同样可以取得较好的滤波效果。

     

  • 图  1  极化气象雷达测量体制。

    Figure  1.  Measurement schemes of polarimetric weather radar.

    图  2  KNMI雷达测量结果。

    Figure  2.  The measurements of KNMI radar.

    图  3  KNMI雷达的谱极化参量

    Figure  3.  The spectral polarimetric variables of KNMI radar

    图  4  射频干扰时域模型

    Figure  4.  The signal model of radio frequency interference in time domain

    图  5  IDRA雷达测量结果

    Figure  5.  The measurements of IDRA radar

    图  6  不同INR条件下的IDRA雷达的谱极化分量

    Figure  6.  The spectral polarimetric variables of IDRA measurements in different INR conditions

    图  7  谱极化滤波器流程图

    Figure  7.  The flowchart of spectral polarimetric filters

    图  8  不同处理后的距离-多普勒谱图

    Figure  8.  The range-Doppler spectrogram after different processing

    图  9  不同处理后的性能指标与INR的关系

    Figure  9.  The relationships between the metrics after different processing and the INR

    图  10  不同处理后的IDRA雷达PPI图

    Figure  10.  The IDRA radar PPIs after different processing

    图  11  不同处理后的KNMI雷达PPI图

    Figure  11.  The KNMI radar PPIs after different processing

    表  1  KNMI雷达手册

    Table  1.   KNMI radar specifications

    雷达类型脉冲多普勒
    发射机类型磁控管
    极化类型STSR模式
    中心频率5.63 GHz
    发射功率500 kW
    脉冲宽度0.5-3.5 μs
    脉冲重复频率175-2400 Hz
    天线宽度
    扫描角 方位–2°–90°,俯仰0°–360°
    扫描周期16扫描模式/5分钟
    下载: 导出CSV

    表  2  射频干扰极化参量与不同极化的辐射源的关系

    Table  2.   The relationship between polarization variables and RF source with different polarization

    RF极化参量
    H极化45线极化V极化
    ${Z_{{\rm{dr}}} }$(dB)无限大0无限小
    STSR的$ {\rho _{{\text{co}}}} $
    ATSR的$ {\rho _{{\text{co}}}} $
    下载: 导出CSV

    表  3  IDRA雷达参数

    Table  3.   IDRA radar specifications

    雷达类型线性FMCW
    发射机类型 固态
    极化类型ATSR模式
    中心频率9.475 GHz
    发射功率20W
    扫描时间409.6 μs
    带宽5 MHz
    天线宽度 1。8°
    扫描角俯仰 0.5°,方位0°~360°
    扫描周期1圈/分钟
    下载: 导出CSV
  • [1] DOVIAK R J and ZRNIĆ D S. Doppler Radar and Weather Observations[M]. Mineola: Dover Publications, 2006.
    [2] BRINGI V N and CHANDRASEKAR V. Polarimetric Doppler Weather Radar: Principles and Applications[M]. Cambridge: Cambridge University Press, 2001.
    [3] YIN Jiapeng. Advanced techniques in clutter mitigation and calibration for weather radars[D]. [Ph. D. dissertation], Delft University of Technology, 2019.
    [4] PALMER R, WHELAN D, BODINE D, et al. The need for spectrum and the impact on weather observations[J]. Bulletin of the American Meteorological Society, 2021, 102(7): E1402–E1407. doi: 10.1175/BAMS-D-21-0009.1
    [5] 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
    [6] CHO J Y N. A new radio frequency interference filter for weather radars[J]. Journal of Atmospheric and Oceanic Technology, 2017, 34(7): 1393–1406. doi: 10.1175/JTECH-D-17-0028.1
    [7] CARROLL J E, SANDERS F H, SOLE R L, et al. . Case study: Investigation of interference into 5 GHZ weather radars from unlicensed national information infrastructure devices[R]. NTIA Technical Report TR-11-473, 2010.
    [8] VACCARONO M, CHANDRASEKAR C V, BECHINI R, et al. Survey on electromagnetic interference in weather radars in northwestern Italy[J]. Environments, 2019, 6(12): 126. doi: 10.3390/environments6120126
    [9] LAKE J L, YEARY M, and CURTIS C D. Adaptive radio frequency interference mitigation techniques at the national weather radar testbed: First results[C]. Proceedings of 2014 IEEE Radar Conference, Cincinnati, 2014: 840–845.
    [10] ROJAS L C, MOISSEEV D N, CHANDRASEKAR V, et al. Dual-polarization spectral filter for radio frequency interference suppression[C]. Proceedings of the 7th European Conference on Radar in Meteorology and Hydrology, 2012.
    [11] YANOVSKY F J, RUSSCHENBERG H W J, and UNAL C M H. Retrieval of information about turbulence in rain by using Doppler-polarimetric Radar[J]. IEEE Transactions on Microwave Theory and Techniques, 2005, 53(2): 444–450. doi: 10.1109/TMTT.2004.840772
    [12] 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
    [13] 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, 2019, 57(5): 2725–2740. doi: 10.1109/TGRS.2018.2876632
    [14] MELNIKOV V M and ZRNIĆ D S. On the alternate transmission mode for polarimetric phased array weather radar[J]. Journal of Atmospheric and Oceanic Technology, 2015, 32(2): 220–233. doi: 10.1175/JTECH-D-13-00176.1
    [15] HURTADO M and NEHORAI A. Polarimetric detection of targets in heavy inhomogeneous clutter[J]. IEEE Transactions on Signal Processing, 2008, 56(4): 1349–1361. doi: 10.1109/TSP.2007.909046
    [16] FIGUERAS I VENTURA J. Design of a high resolution X-band Doppler polarimetric weather radar[D]. [Ph. D. dissertation], Delft University of Technology, 2009.
    [17] FULTON C, HERD J, KARIMKASHI S, et al. Dual-polarization challenges in weather radar requirements for multifunction phased array radar[C]. Proceedings of 2013 IEEE International Symposium on Phased Array Systems and Technology, Waltham, 2013: 494–501.
    [18] ZRNIĆ D S, ZHANG Guifu, and DOVIAK R J. Bias correction and Doppler measurement for polarimetric phased-array radar[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(2): 843–853. doi: 10.1109/TGRS.2010.2057436
    [19] IVIĆ I R, CURTIS C, and TORRES S M. Radial-based noise power estimation for weather radars[J]. Journal of Atmospheric and Oceanic Technology, 2013, 30(12): 2737–2753. doi: 10.1175/JTECH-D-13-00008.1
    [20] BACHMANN S and ZRNIĆ D. Spectral density of polarimetric variables separating biological scatterers in the VAD display[J]. Journal of Atmospheric and Oceanic Technology, 2007, 24(7): 1186–1198. doi: 10.1175/JTECH2043.1
    [21] MOISSEEV D N and CHANDRASEKAR V. Polarimetric spectral filter for adaptive clutter and noise suppression[J]. Journal of Atmospheric and Oceanic Technology, 2009, 26(2): 215–228. doi: 10.1175/2008JTECHA1119.1
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出版历程
  • 收稿日期:  2021-07-22
  • 录用日期:  2021-11-23
  • 修回日期:  2021-11-22
  • 网络出版日期:  2021-11-25

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