微波多普勒雷达多距离元数据预处理研究

Multi-Range Data Preprocessing by Using Microwave Doppler Radar

针对由海面异常回波和海流运动影响微波多普勒雷达所测的径向速度,导致海浪反演精度降低的问题,提出了一种基于多距离元的数据预处理方法:滑窗自适应门限去除速度奇异点,速度波数谱高通滤波去除速度趋势项.通过反演的海浪参数与浮标数据比较,实验结果表明,该方法可有效用于微波多普勒雷达多距离元数据预处理,保证了较高的海浪反演精度.

The anomalous sea echo and the movement of ocean current affect radial velocity detected by microwave Doppler radar,resulting in the decrease of wave inversion accuracy.To solve this problem,we proposed a data preprocessing method based on multi-range.We used adaptive threshold with sliding window to remove singularity and high-pass filter for the velocity wavenumber spectra to remove the speed tendency.By means of comparing the inversion of wave parameters and buoy data,the result indicates that the method can be effectively used in the preprocessing of microwave Doppler radar multi-range data,and it can also guarantee high precision of wave inversion.