基于时频分析的高频地波雷达电离层杂波抑制

Ionospheric clutter suppression in high frequency surface wave radar based on time-frequency analysis

针对高频地波雷达回波信号中的电离层杂波,提出了利用时频分析与特征值分解抑制杂波的方法。该方法首先通过时频分析合理地选择扫频脉冲时段和多普勒频率区间;然后对选定的时频域区间,采用特征值梯度准则与相邻距离元插值估计相结合的方法,分别在阵元-脉冲域和阵元-多普勒域进行特征值分解,更好地抑制了电离层杂波。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。

To suppress ionospheric clutter in the echo signal of high frequency surface wave radar （HFSWR）, a method to suppress clutter based on time-frequency analysis and eigenvalue decomposition is proposed. By analyzing the time-frequency images, the swept pulse section and the Doppler section are .exactly determined. To the acquired sec- tion, the eigenvalue decomposition based on the eigenvalue grads criterion is utilized in the element-pulse domain and the element-Doppler domain respectively. In the decomposition, the corresponding eigenvalue of the range bins with ionospheric clutter is estimated by utilizing the adjacent and clean range bins. Experimental results confirm that the modified method can achieve effective ionospheric clutter suppression.