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MIMO雷达嵌套平行阵下基于子空间的目标二维波达角估计 被引量:4

Two dimensional direction of arrival estimation based on subspace for MIMO radar using nested parallel array
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摘要 研究了多输入多输出(multiple input multiple output,MIMO)雷达中的二维波达角(direction of arrival,DOA)估计问题,并提出了一种嵌套平行阵下基于子空间的二维DOA估计算法。利用存在嵌套关系的双平行阵(two parallel uniform linear array,TPULA)作为收发阵列,大大增加了自由度(degree of freedom,DOF)。在DOA估计方面,算法利用数据重构增加虚拟脉冲数,并利用酉变换降低运算复杂度,然后分别基于信号子空间和噪声子空间获得了自动配对的二维DOA估计的闭式解。算法复杂度低,而且相比MIMO雷达中传统TPULA下的算法,该算法拥有更好的角度估计性能,并可辨别空间相干目标。仿真结果验证了算法的有效性。 The problem of two dimensional (2D) direction of arrival (DOA) estimation for multiple input multiple out (MIMO) radar is studied, and a subspace based DOA estimation algorithm using nested parallel array is proposed. Large degrees of freedom (DOF) can be achieved by adopting two parallel uniform linear arrays (TPULA) with nested relationships as the transmitter and the receiver, respectively. For the DOA estimation, data reconstruction is used to increase virtual pulse number and unitary transformation is applied to reduce the complexity. Thereafter, the signal subspace and noise subspace of the data are combined to obtain the closed-solutions of 2D DOA estimation with automatically pairing. The proposed algorithm has low complexity, and it can achieve better DOA estimation performance and deal with coherent targets compared to conventional -TPULA- based methods in MIMO radar. Simulations verify the effectiveness of the proposed algorithm.
作者 李建峰 张小飞 LI Jianfeng ZHANG Xiaofei(College of Computer and Information, Hohai University, Nanjing 211100, China College of Electronic Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)
出处 《系统工程与电子技术》 EI CSCD 北大核心 2017年第3期522-528,共7页 Systems Engineering and Electronics
基金 国家自然科学基金(61371169 61601167) 中央高校基本科研业务费专项资金(2015B12614) 江苏高校优势学科建设工程资助课题
关键词 多输入多输出雷达 嵌套平行阵 二维角度估计 酉变换 子空间 multiple input multiple out (MIMO) radar nested parallel array two dimensional (2D) direc-tion of arrival (DOA) estimation unitary transformation subspace
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