摘要
针对冲击噪声下多输入多输出(Multiple‑Input Multiple‑Output,MIMO)雷达阵列诊断失效问题,对基于二阶矩的传统匹配滤波器进行改进以适应非高斯噪声,并提出一种基于张量分解和K‑means聚类的阵列诊断方法.该方法利用MIMO雷达各接收阵元回波信号的高斯核函数值来自适应地调整匹配滤波器的系数,以有效形成虚拟阵列.为挖掘正常和故障阵元的匹配滤波输出数据的多维特征,将虚拟阵列协方差矩阵构建成三阶平行因子(PARAllel FACtor,PARAFAC)张量,并通过COMFAC(COMplex parallel FACtor analysis)算法分解获得收发阵列流形矩阵,使用欧式距离度量其相似性,确定两个簇类数据的聚类中心并划分出异常簇类,以完成故障阵元位置的诊断.仿真结果验证了所提算法的有效性.
The traditional array diagnosis methods for multiple-input multiple-output(MIMO)radar may fail in the presence of impulse noise.The traditional matched filter based on second-order statistics is modified to obtain a reliable per⁃formance in the non-Gaussian noise,and then the array diagnosis method based on tensor decomposition and K-means clus⁃tering is proposed.The coefficients of the matched filters are adjusted with the Gaussian kernel function values of the echo signal observed at each receive element,which makes the MIMO radar form a virtual array successfully in the presence of impulsive noise.To further utilize the inherent multidimensional structure of the matched filter output data of the damaged and normal antennas,a third-order parallel factor(PARAFAC)model of the virtual array covariance matrix is formulated.By exploiting the complex parallel factor analysis(COMFAC)algorithm on the third-order covariance tensor,the manifold matrices of the transmit and receive arrays are obtained.The similarity of manifold matrix data is measured using Euclidean distance,and the clustering centers of the two clusters corresponding to the normal and fault elements are determined.The abnormal cluster data is selected to diagnose the location of the fault elements in MIMO radar array.Numerical simulation results confirm the effectiveness of the proposed algorithm.
作者
陈金立
王亚鹏
李家强
龙伟军
CHEN Jin-li;WANG YA-peng;LI Jia-qiang;LONG Wei-jun(Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science and Technology,Nanjing,Jiangsu 210044,China;School of Electronic and Information Engineering,Nanjing University of Information Science and Technology,Nanjing,Jiangsu 210044,China;Nanjing Research Institute of Electronics Technology,Nanjing,Jiangsu 210039,China)
出处
《电子学报》
EI
CAS
CSCD
北大核心
2021年第12期2315-2322,共8页
Acta Electronica Sinica
基金
国家自然科学基金(No.62071238,No.62071440,No.61671241)
江苏省自然科学基金(No.BK20191399)。
