高频地波雷达电离层杂波的空域极化域协同抑制方法

高频地波雷达（High Frequency Surface Wave Radar，HFSWR）能够探测视距外的海上目标和超低空飞行器，但其性能通常被电离层杂波严重影响。该文使用一种空域极化域协同滤波算法用于电离层杂波抑制。针对其中电离层杂波空域和极化域参数的估计问题，在距离-多普勒域上利用基于压缩感知（Compressive Sensing，CS）的DOA测角方法进行空域参数估计，并提出一种基于统计特性的极化参数估计方法完成极化参数估计。这两种估计方法可获得更高的参数估计精度，从而提高了电离层杂波空域极化域抑制方法的性能。某HFSWR系统实测数据处理结果表明了参数估计和电离层杂波抑制方法的有效性。 

Space-polarization Collaborative Suppression Method for Ionospheric Clutter in HFSWR

High Frequency Surface Wave Radar (HFSWR) is able to receive surface target and low-flying aircraft echoes at a long-distance, but it suffers severely from ionospheric clutter.In this paper, a spacepolarization collaborative-based filter is introduced to mitigate ionospheric clutter.For parameter estimation on ionospheric clutter used for filters, a spatial parameter estimation algorithm based on compressive sensing is introduced to the DOA estimation of ionospheric clutter.In addition, a polarized parameter estimation algorithm based on statistical characteristics is proposed for ionospheric clutter in the range-Doppler spectrum.Higher estimation accuracy is achieved as a result of the range-Doppler spectrum;therefore, these two estimation algorithms enhance the performance of the space-polarization collaborative suppression method for ionospheric clutter.Experimental results of practical dual-polarized HFSWR data show the effectiveness of the two algorithms and the above mentioned filter for ionospheric clutter suppression.