For pulse Doppler radars, the widely used method for identifying second-trip echoes (STs) in the signal processing level yields significant misidentification in regions of high turbulence and severe wind shear. In the data processing level, although the novel algorithm for ST identification does not yield significant misidentification in specific regions, its overall identification performance is not ideal. Therefore, this paper proposes a hybrid method for the identification of STs using phase modulation (signal processing) and polarimetric technology (data processing). Through this approach, most of the STs are removed, whereas most of the first-trip echoes (FTs) remain untouched. Compared with the existing method using a signal quality index filter with an optimized threshold, the hybrid method exhibits superior performance (Heidke skill scores of 0.98 versus 0.88) on independent test datasets, especially in high-turbulence and severe-wind-shear regions, for which misidentification is significantly reduced.

对于脉冲多普勒雷达，在高湍流和强风切变区域中，广泛使用的用于识别信号处理级别中的第二次回波（ST）的方法会产生严重的误识别。在数据处理级别上，尽管用于ST识别的新算法不会在特定区域产生明显的误识别，但其总体识别性能并不理想。因此，本文提出了一种使用相位调制（信号处理）和极化技术（数据处理）来识别ST的混合方法。通过这种方法，大部分的ST被去除，而大多数的第一回波（FT）则保持不变。与使用具有优化阈值的信号质量指标滤波器的现有方法相比，