基于矩阵重构的高频地波雷达电离层杂波抑制

Ionospheric clutter suppression of high frequency ground wave radar based on matrix reconstruction

高频地波雷达(HFSWRs)回波数据受Es层电离层杂波污染,严重影响雷达探测性能。为解决该问题,利用协方差矩阵重构结合特征分解法对杂波进行抑制。该方法通过划分一阶谱区,将排除一阶谱区信号的区域进行积分获得重构电离层干扰-噪声协方差矩阵,接着改进特征分解法处理重构协方差矩阵,对电离层杂波进行抑制。OSMAR-S雷达实测数据处理结果表明,单侧和双侧Es层电离层杂波处理后信噪比分别至少提升15.1和19.7 dB,海洋雷达理论探测距离至少提高15 km,该方法对电离层杂波可以有效的抑制,信噪比得到有效的改善。

High frequency ground wave radar(HFSWRs)echo data are contaminated by ionospheric clutter in Es layer,which seriously affects the radar detection performance.In order to solve this problem,covariance matrix reconstruction combined with feature decomposition method is used to suppress clutter.In this method,the ionospheric interferencenoise covariance matrix is obtained by dividing the first order spectral region and integrating the region excluding the signals in the first order spectral region.Then,the reconstructed covariance matrix is processed by the improved feature decomposition method to suppress the ionospheric clutter.The measured data processing results of OSMAR-S radar show that the signal-to-noise ratio of unilateral and bilateral Es ionospheric clutter processing increases at least 15.1 and 19.7 dB,respectively,and the theoretical detection range of marine radar increases at least 15 km.This method can effectively suppress ionospheric clutter and improve signal-to-noise ratio effectively.