首先对地球同步轨道星载降雨雷达进行了介绍;其次基于其技术参数,利用美国第二代机载降雨雷达(APR-2)的实测数据模拟了地球同步轨道星载毫米降雨雷达的数据并对模拟的强度和速度场数据进行了分析;最后根据时域信号(I、Q)和功率谱数据的特征,采用时域无限脉冲响应(IIR)椭圆滤波器和频域高斯模型自适应处理(GMAP)两种方法对地表杂波进行了抑制,并对抑制前后的廓线数据和回波图进行了对比分析.结果表明,采用IIR和GMAP方法能够对受弱风条件下海面杂波影响的近地面气象回波进行较好的恢复,对地表杂波具有较好的抑制效果.
Brief introduction of the geostationary Doppler weather radar (GDWR) was described. Secondly, based on the Satellite-Earth geometry model, observational data of GDWR were simulated using the APR-2 data, and the rainfall intensity and velocity field data were analyzed. By combining the characteristics of power spectrum data and time domain signals, the surface clutter was restrained using the Gaussian model adaptive processing method (GMAP) and fifth-order elliptic infinite impulse re- sponse ground clutter filter (IIR). The comparisons were carried out between the filtered data and the original data, which indicates that the weather radar echo influenced by the ocean surface clutter can be correctly recovered using IIR and GMAP methods.