摘要
针对常规的动目标检测信号处理技术去杂波效果不理想的情况,提出了一种基于奇异值分解的数据重构方法进行杂波抑制。该方法对数据进行奇异值分解,在特征值域利用杂波信息确定约束门限,当特征值满足设定的门限要求时被保留,不满足时认为是杂波将其舍去,以此构建新的特征值矩阵和特征向量矩阵,从而重构杂波抑制后的时域数据。基于实测数据进行的仿真实验证明了所提方法的有效性。
Aiming at the unsatisfactory clutter suppression effect of conventional moving target detection signal processing algorithm,this paper proposes a data reconstruction method based on singular value decomposition for clutter suppression.In the method,singular value of data is decomposed,and clutter information in the eigenvalue domain is used to determine the constraint threshold.If the eigenvalue meets the set threshold requirements,it is retained;otherwise,it is considered to be clutters and then eliminated.Based on this,a new eigenvalue matrix and eigenvector matrix are constructed,and the time domain data after clutter suppression are reconstructed.The simulation experiments based on measured data demonstrate the effectiveness of proposed method.
作者
马艳艳
洪伟
齐永梅
MA Yan-yan;HONG Wei;QI Yong-mei(The 8th Research Academy of CSSC,Yangzhou 225101,China)
出处
《舰船电子对抗》
2023年第2期79-82,共4页
Shipboard Electronic Countermeasure
关键词
杂波抑制
奇异值分解
多普勒通道
信号重构
clutter suppression
singular value decomposition
doppler channel
signal reconstruction
