气象雷达风电场杂波微动特征分析及其检测

发布时间：2018-01-13 00:25

本文关键词：气象雷达风电场杂波微动特征分析及其检测　出处：《中国民航大学》2017年硕士论文　论文类型：学位论文

【摘要】：风电场作为一种特殊的大型障碍物,会对气象雷达探测设备产生严重干扰。不同于一般静止地物目标,风电场回波具有较强的散射特性以及多普勒频谱展宽特性,利用传统地杂波滤波技术不能将其完全滤除。因而,研究气象雷达风电场杂波微动特征分析与检测技术,可为风电场杂波抑制提供相应的理论基础和技术支撑,对于提高气象雷达目标探测的可靠性具有一定意义。本文首先在基于散射点叠加理论的气象雷达风电场回波信号建模与仿真的基础上,分别利用时频分析技术和奇异值分解(Singular Value Decomposition,SVD)技术分析了风电场回波的微多普勒特征,通过与理论推导对比分析,验证了仿真结果的有效性。其次,基于风电场回波的微多普勒特征,利用SVD技术,构造相应特征量,提取了风电场杂波的微动特征,并在气象目标存在背景下,将风电场杂波的微动特征与气象目标的多普勒特征进行对比分析。同时,通过分析风电场杂波区别于气象目标的回波特性,针对气象雷达二次产品(Level-II)数据,构造一组特征参量,实现了基于Level-II实测数据的风电场杂波的特征提取。最后,通过对针对Level-II数据构造的特征参量的统计特性分析,基于模糊逻辑理论实现了风电场杂波的模糊逻辑检测与识别。并结合几组典型的Level-II实测数据对本文所提风电场杂波检测方法进行验证,实验结果证明该方法可以实现普通气象条件及特殊气象条件下风电场杂波的检测。
[Abstract]:As a special large obstacle, wind farm will cause serious interference to meteorological radar detection equipment, which is different from the general static object target. Wind farm echo has strong scattering characteristics and Doppler spectrum broadening characteristics, which can not be completely filtered by traditional ground clutter filtering technology. The research on the fretting characteristic analysis and detection technology of weather radar wind farm clutter can provide the corresponding theoretical basis and technical support for the wind farm clutter suppression. In order to improve the reliability of meteorological radar target detection, this paper first based on the scattering point superposition theory based on the meteorological radar wind farm echo signal modeling and simulation. The micro-Doppler characteristics of wind farm echo are analyzed by time-frequency analysis technique and singular Value decomposition technique. The validity of the simulation results is verified by comparing with the theoretical analysis. Secondly, based on the micro-Doppler characteristics of wind farm echo, the corresponding characteristic quantities are constructed by using SVD technology. The fretting characteristics of wind farm clutter are extracted, and the fretting characteristics of wind farm clutter and the Doppler characteristics of meteorological target are compared and analyzed under the background of meteorological target. By analyzing the echo characteristics of wind farm clutter which is different from meteorological target, a set of characteristic parameters are constructed for the meteorological radar secondary product Level-II data. The feature extraction of wind farm clutter based on the measured data of Level-II is realized. Finally, the statistical characteristics of the characteristic parameters of Level-II data are analyzed. Based on the fuzzy logic theory, the fuzzy logic detection and recognition of wind farm clutter is realized, and some typical Level-II data are used to verify the method proposed in this paper. The experimental results show that the method can detect the clutter of wind farm under general meteorological conditions and special meteorological conditions.
【学位授予单位】：中国民航大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN957.51

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