要实现船载高频地波雷达对海面目标的快速准确检测,必须对非均匀分布的海杂波进行有效抑制。为此,提出一种单快拍多重信号分类(MUSIC)与改进无迹变换局域联合处理(UTJDL)相结合的非均匀海杂波抑制算法。首先通过单快拍MUSIC算法,将阵列信号转换至角度多普勒域并进行局域联合处理(JDL),以有效降低运算量和提高目标分辨率。然后,利用改进的基于奇异值分解(SVD)的无迹变换(UT)对每个距离元的JDL 数据进行预处理以获得更多的一致性数据并进行每个距离元的协方差矩阵估计。最后,根据不同距离单元与待检测距离单元的相关系数估计待测距离单元的协方差矩阵,并由此实现对海杂波的快速有效抑制。仿真实验结果表明,文中提出的算法可以有效提升信杂噪比,有利于目标的快速准确检测。

In order to achieve rapid and accurate detection of sea surface targets by shipborne high frequency surface wave radar (HFSWR), it is necessary to effectively suppress nonhomogeneous distributed sea clutter. Therefore, in this paper a nonhomogeneous sea clutter suppression algorithm combining single-shot multiple signal classification (MUSIC) and improved unscented transform joint domain localized (UTJDL) processing is proposed. Firstly, the array signal is converted to angle Doppler domain by using the single-shot MUSIC algorithm and processed by JDL algorithm to effectively reduce the computation load and improve the target resolution. Then, the JDL data for each range cell is preprocessed by the improved UT based on the singular value decomposition (SVD) to obtain more homogeneous secondary data for estimating the covariance matrix of each range cell. Finally, the covariance matrix of the cell under test(CUT) is estimated according to the correlation coefficient between each range cell and the CUT, thereby realizing the fast and effective suppression of sea clutter. Simulation experimental results show that the proposed algorithm can effectively improve the signal-noise ratio, thus facilitating the rapid and accurate detection of targets.

TN957.52

国家重点研发计划资助项目(2017YFC1405202);海洋公益性行业科研专项资助项目(201505002)