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。

The atmospheric turbulence signal, as the detect targets of the wind profiler, is highly vulnerable to external environment and the signal interference from ground clutter, sea clutter, precipitation, radio signals, the airplane, birds, insects,etc, generating a kind of power spectra data with characteristic of multiple peak. In order to effectively suppress and remove the clutter, and improve the quality of the wind profiler data, it is very necessary to identify the atmospheric turbulence target from this kind of power spectra. After the analysis of atmospheric turbulence characteristics in the wind profiler echo, which to be used as the wind profiler target identification principles, a wind profiler target identification technology based on fuzzy logic is proposed in this paper. The feasibility and effectiveness of this method is validated by the process and analysis of actual data.

TN957

中国民用航空飞行学院科研基金资助项目