摘要
本文提出了一种适用于收、发共阵多发多收(MIMO)雷达的低复杂度二维波达方向(DOA)估计方法.该方法将MIMO雷达的虚拟二维阵列分解为多个构形相同但位置不同的虚拟子阵,通过一种基于预投影的ESPRIT算法得到同一目标二维DOA的多组估计值,极大地降低了运算量.并利用Kalman滤波器对这多组二维DOA估计值进行融合,提高了估计值的精度.同时,利用收、发对偶性对样本数据进行了重排,等效地将样本数加倍,进一步提高了二维DOA估计精度.数值仿真的结果证明了该方法的有效性.
The virtual array of multiple-input multiple-output（MIMO） radar could be divided into multiple subarrays with the same geometric configuration but different locations.Based on the rotation invariance property of these subarrays,a low complexity 2-D DOA estimation method for MIMO radar is presented in this paper.For each target,multiple 2-D DOA estimates are obtained by applying a pre-projection based ESPRIT algorithm to different subarray combinations.Then,the estimates of each target are fused via Kalman filtering to improve the estimation accuracy.Moreover,sample multiplexing based on the symmetric data structure of MIMO radar further improves the estimation accuracy.Numerical examples demonstrate the effectiveness of the proposed method.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2012年第3期505-511,共7页
Acta Electronica Sinica
基金
国家自然科学基金(No.61001213)
国防基础科研计划(No.B1420110193)
中央高校基本科研业务费(No.K50510020021)
