摘要
在实际应用中由于恶劣环境或人为干扰等因素而导致多输入多输出(Multiple-Input Multiple-Output,MIMO)雷达部分阵元失效,使得其接收数据缺失及其协方差矩阵秩亏,从而导致子空间类算法的波达方向(Direction of Arrival,DOA)估计性能恶化甚至完全失效。针对上述问题,提出了一种接收阵元失效下基于协方差矩阵重构的MIMO雷达DOA估计方法。该方法根据MIMO雷达协方差矩阵中以接收阵元数划分的子方块矩阵具有Toeplitz特性,利用正常工作接收阵元的协方差矩阵元素来恢复相应的缺失元素,从而重构出完整的数据协方差矩阵,提高阵元失效MIMO雷达的DOA估计性能。仿真结果验证了所提方法的有效性。
Some elements of the multiple-input multiple-output(MIMO)radar are damaged due to harsh environment or human interference in practical application.Therefore,the received data of MIMO radar is lost and the rank of covariance matrix is degenerated,which causes the performance of the subspace algorithm to be deteriorated or even completely failed.A direction-of-arrival(DOA)estimation method for MIMO radar based on covariance matrix reconstruction under receiver element defect is proposed.Firstly,some square sub-matrices are divided from the covariance matrix of MIMO radar according to the number of receiving arrays,which have the property of Toeplitz.The data elements corresponding to the missing elements in the covariance are constructed from the intact elements.Then a complete covariance matrix is obtained to improve the DOA estimation performance of MIMO radar with missing elements.Simulation results demonstrate the effectiveness of the proposed algorithm.
作者
陈金立
卓齐刚
李家强
陈宣
CHEN Jinli;ZHUO Qigang;LI Jiaqiang;CHEN Xuan(Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science and Technology,Nanjing 210044,China;School of Electronic and Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China;School of Physics and Optoelectronic Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China)
出处
《电讯技术》
北大核心
2019年第1期70-75,共6页
Telecommunication Engineering
基金
国家自然科学基金资助项目(61302188
61372066
11304394)
江苏省自然科学基金项目(BK20131005)
