摘要
目前降维的空时自适应处理(STAP)运算量大,并且辅助通道选取比较固定。针对该问题,提出了一种基于稀疏降维的STAP方法。该方法首先用传统的方法选择与待检测角度-多普勒通道邻近的多个通道作为辅助通道,实现初步降维。然后,基于天波雷达的海杂波信号具有低秩特点,提出进一步用稀疏滤波优选训练样本的方法,该方法基于稀疏正则化原理,寻找稀疏的滤波权向量,从而自适应地选择性能更好的辅助通道。对天波雷达实测数据的处理结果表明,与已有的降维STAP相比,所提方法的杂波抑制性能提高了6.17 dB。
The existing reduced-dimension space-time adaptive processing(STAP)needs large computational complexity and the selection of secondary channel is fixed.To address these problems,a STAP method based on sparsely reduced-dimension is proposed in this paper.First,the proposed method selects several channels adjacent to the angle-Doppler channel under test as secondary channels,which can achieve initially reduced-dimension.Then,a method of selecting secondary channels with sparse filtering is further proposed based on the low rank property of the sea clutter of sky-wave radar.The method selects the sparsely filter weight vector based on the principle of sparse regularization,thereby adaptively chooses the better secondary channels.The simulation results of the measured data from sky-wave radar show that the clutter suppression performance of the proposed method is 6.17 dB higher than the existing method.
作者
胡进峰
李健萍
林涛
HU Jinfeng;LI Jianping;LIN Tao(School of Information and Communication Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China;Beijing Electro-Mechanical Engineering Institute,Beijing 100074,China;Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory,Beijing 100074,China)
出处
《雷达科学与技术》
北大核心
2019年第4期421-425,共5页
Radar Science and Technology
基金
国家自然科学基金(No.61671137,61731006)
四川省科技厅项目(No.2017GZ0345)
国防基础研究基金(No.A0420132102)
关键词
空时自适应处理
稀疏
降维
杂波抑制
space-time adaptive processing(STAP)
sparse
reduced-dimension
clutter suppression
