基于小波分析的高频地波雷达电离层杂波抑制

Wavelet analysis-based suppression of ionospheric clutter in high frequency surface wave radar

针对高频地波雷达电离层杂波,提出了一种新的抑制方法.该方法引入虚拟跳频技术,并与小波分析相结合,更好地进行了杂波抑制.通过频率虚拟跳变去除相邻回波脉冲间的相关性,人为地多次调整相位序列,起到统计平均的作用,而且可以配合小波变换中尺度参数和平移参数的调节,弥补单纯利用小波分析的不足.实测数据处理结果表明,该方法对电离层杂波具有很好的抑制效果.

For high frequency surface wave radar ionospheric clutter, a method was proposed. This method used wavelet analysis, combined with dummy frequency agility, which was used to eliminate the correlation of adjacent echo pulse and achieve statistic effect by changing phase series on many occasions. Changing phase series in some extent were co-operated with changing the scale and wavelet location variables to remedy the defects of the original method with the help of wavelet analysis. Experimental results show that the ionospheric clutter can be suppressed by this method effectively.