用综合识别法检测风廓线雷达湍流目标

风廓线雷达探测时，由于湍流回波信号弱，易受到地杂波的干扰。为了改善目标检测效果，分析得到地杂波的如下特点：地杂波为宽度很窄的高斯谱、地杂波关于多普勒零速度点对称分布、地杂波离多普勒零速度点很近、地杂波谱峰两侧有很大的梯度、相邻高度层上的地杂波谱峰值有很小的梯度。据此，提出了进行风廓线雷达目标检测的综合识别法。其主要步骤是：以分段平均法确定噪声电平，以谱的形状和谱宽大小进行初步识别，以分类检测去除地杂波影响，再适当进行连续性修正后得最终检测结果。实测数据处理表明：检测效果令人满意，不同波束的检测结果具有对称性，在弱信号时也可以取得合理的检测结果。

Detection of turbulence targets by using synthetic method in wind profiler

The turbulence echo in wind profiler is very weak,so it is easily disturbed by ground clutter.To improve the effects of target detection,it is analyzed that the ground clutter has the following characteristics: a narrow Gaussian-like shape,symmetric distributing around the zero velocity point,spectra peak near the zero point,large gradients on both sides of the spectra peak,and small gradient between two adjacent altitude layers.After that,a new synthetic identification method is suggested for turbulence target detection in wind profiler.Its primary steps are as follows: part the spectrum and average the power,then get minimum as the spectrum noise level;identify and classify the shape and width of spectrum to remove ground clutter;properly correct by the continuity rule to get the final result.The test using radar data shows that the detected accuracy is satisfying,the results found from different beams are symmetrical.The method can get reasonable results in weak echoes also.