系统工程与电子技术 ›› 2018, Vol. 40 ›› Issue (5): 1018-1025.doi: 10.3969/j.issn.1001-506X.2018.05.09

• 传感器与信号处理 • 上一篇    下一篇

基于改进MAP方法的气象雷达风电场杂波抑制

何炜琨, 高丽, 王晓亮, 吴仁彪   

  1. 中国民航大学天津市智能信号与图像处理重点实验室, 天津 300300
  • 出版日期:2018-04-28 发布日期:2018-04-24

Wind farm clutters suppression for weather radar based on improved MAP method

HE Weikun, GAO Li, WANG Xiaoliang, WU Renbiao   

  1. Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China
  • Online:2018-04-28 Published:2018-04-24

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摘要：

雷达波束覆盖区域内风电场后向散射引起的杂波与气象目标回波具有类似的特性,进而影响气象目标参数估计的稳健性,导致气象雷达产生误检测与误识别。利用气象雷达二次产品(Level-II)实测数据,基于最大后验概率(maximum a posteriori,MAP)算法实现风电场杂波抑制。在传统MAP算法基础上,考虑气象雷达和风电场位置、地形等因素对雷达波束的影响,并将其作为先验信息来选取有效的气象雷达高仰角扫描数据,以此来改善风电场杂波的抑制效果。针对高扫及低扫区域内径向速度变化较为剧烈所导致的MAP杂波抑制算法性能下降的问题,基于气象目标参数随距离均匀分布特性,用风电场周围未污染气象目标的径向速度作为先验信息,对传统MAP算法抑制后的径向速度进行修正。为定量评价风电场抑制算法的性能,给出了定量评价风电场杂波抑制效果的性能指标,并利用气象雷达不同体扫模式VCP(volume cover pattern)下的Level-II数据对本文提出算法的有效性进行了验证。

Abstract:

The clutters caused by the backscatter of the wind farm in the radar beam coverage area have the similar characteristics to some of the weather echoes, which may affect the robustness of the weather parameters estimation, and intensively lead to the erroneous detection and misidentification of the weather radar. Based on the Level-II data of the weather radar, the wind turbine clutter suppression is realized by the maximum a posteriori probability (MAP) method. Based on the traditional MAP algorithm, considering the influence of the location of weather radar and wind farm, terrain and other factors on the radar beam, the above priori informations can be used to select the effective high-elevation radar scan data, by which the wind farm clutter suppression performance can be improved. In addition, as the radial velocity obtained by the high scan area and the corresponding low scan changes greatly, and the performance of the MAP clutter suppression algorithm may be affected. The radial velocity of the non-polluted weather target is used to modify estimated value obtained by the traditional MAP suppression for the reason of the uniformity of the weather target parameters with the range. In order to quantitatively evaluate the performance of the suppression algorithm, the corresponding performance index is given in this paper, and the proposed algorithm is verified by using the Level-II data obtained by different volume cover pattern (VCP) modes.

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