基于块稀疏恢复的高频雷达空间角谱和极化谱联合估计方法

高频地波雷达（high-frequency surface wave radar，HFSWR）中电离层杂波的存在，会极大地影响雷达系统的性能，降低对目标的探测能力.为了精确获得杂波参数，从而更好地抑制电离层杂波，提出了一种基于压缩感知（compressive sensing，CS）的单快拍参数估计方法，用于对电离层杂波的空域和极化域参数估计.该方法基于极化敏感阵列的块稀疏估计模型，应用块正交匹配追踪（block orthogonal matching pursuit，BOMP）算法实现距离-多普勒域的单快拍空间角度和极化参数联合估计，并进一步获得目标和杂波的空间角谱和极化谱.该方法适用于任意极化敏感阵列，在距离-多普勒域单快拍条件下，其估计性能优于传统方法，且计算复杂度极低，可以实现实时处理.仿真结果和某HFSWR系统实测数据处理结果表明了参数估计方法的有效性.

Joint estimation of spatial angular spectrum and polarization spectrum of high frequency radar based on block sparse recovery

The presence of ionospheric clutter in high-frequency surface wave radar(HFSWR) may extremely affect the performance of radar system and degrade the capability of detecting target. In order to obtain clutter parameters accurately and suppress ionospheric clutter better, a single snapshot parameter estimation method based on compressive sensing(CS) is proposed for estimating the spatial domain and polarization domain parameters of ionospheric clutter. Based on the block sparse estimation model of polarization sensitive array, this method uses block orthogonal matching pursuit(BOMP) algorithm to realize joint estimation of angle and polarization parameters of single snapshot in range-Doppler domain, and further obtains the spatial angular spectrum and polarization spectrum of target and clutter. For arbitrary polarization-sensitive arrays, the performance of estimation is better than that of traditional methods under the condition of single snapshot in range-Doppler domain, and the computational complexity is very low, so real-time processing can be realized. The simulation results and the data processing results of a HFSWR system show that the parameter estimation method is effective.