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作为风廓线雷达探测目标的大气湍流信号,极易受地杂波、海杂波、降水、无线电信号、飞机、鸟、昆虫等一系列外界环境和信号的干扰,从而形成一种具有多峰特征的功率谱数据。为了有效抑制和去除杂波,提高风廓线雷达输出的数据质量,必须从功率谱数据中将大气湍流目标检测出来。通过分析大气湍流在风廓线雷达回波功率谱中体现出的特征,将其作为风廓线雷达目标检测的准则。文中提出了一种基于模糊逻辑的风廓线雷达目标检测方法,并进行了实际数据的处理和分析,验证了该方法的可行性和有效性。
Atmospheric turbulence signals, which are the targets of wind profiler radar detection, are easily interfered by a series of external environments and signals such as clutter, sea clutter, precipitation, radio signals, aircraft, birds, insects and the like, thus forming a multi-peak Characteristic power spectrum data. In order to effectively restrain and remove clutter and improve the data quality of wind profile radar output, we must detect atmospheric turbulence targets from the power spectrum data. By analyzing the characteristics of the atmospheric turbulence reflected in the power spectrum of the wind profiler radar echo, it is used as the criterion for the target detection of the wind profiler radar. In this paper, a target detection method of wind profiler radar based on fuzzy logic is proposed, and the actual data is processed and analyzed to verify the feasibility and effectiveness of this method.