摘要
针对通道幅相误差和图像配准误差等非理想因素导致地面动目标检测性能下降的问题,该文结合最小方差和空域导向矢量两种杂波抑制算法,提出一种基于通道误差校准的空域导向矢量杂波抑制方法。该方法首先计算最小方差杂波抑制的权向量,通过该权向量构造配准图像,然后利用配准图像计算杂波正交补空间,最后通过正交子空间的方法实现杂波抑制。理论分析及实验结果表明,所提方法在图像配准误差和通道幅相误差较大的情况下仍具有很好的检测性能,能获得较最小方差杂波抑制方法和基于空域导向矢量的杂波抑制方法更高的信杂噪比。
To overcome the influence of non-ideal factor on the performance of moving target indication, such as the channel gain and phase response error and image registration error, an improving clutter rejection method is proposed. The algorithm combines the minimum variance clutter rejection method and the steering vector clutter rejection method. Firstly, the weight vector of minimum variance clutter rejection is calculated to construct registration image. Then clutter orthogonal subspace is calculated with registration image. Finally, clutter rejection is implemented with orthogonal subspace method. Theoretical analysis and experimental results show that the proposed method performs well and it can obtain higher SCNR than the minimum variance clutter rejection method and steering vector clutter rejection method when both image registration and channel amplitude and phase errors are big.
出处
《雷达学报(中英文)》
CSCD
2014年第1期70-77,共8页
Journal of Radars
基金
国家自然科学基金(41301481)资助课题