互质MIMO雷达的非圆信号降维DOA估计方法  

Method of Non-circular Dimensionality Reduction DOA Estimation Based on Coprime MIMO Radar

作　　者：姬传堂 章飞[1] JI Chuan-tang;ZHANG Fei(School of Electronic Information,Jiangsu University of Science and Technology,Zhenjiang 212000,China)

机构地区：[1]江苏科技大学电子信息学院,镇江212000

出　　处：《微波学报》2022年第2期95-100,共6页Journal of Microwaves

基　　金：国家自然科学基金(61801170,61801435)。

摘　　要：针对传统互质阵列波达方向估计方法存在的自由度低、阵列孔径小、相位模糊等问题,提出了一种基于互质MIMO雷达的非圆信号降维波达方向(Direction of Arrival, DOA)估计方法。该方法结合了互质阵列与MIMO雷达的优点,利用非圆信号特性对阵列进行扩展,重构接收信号矩阵,然后进行降维处理,并利用噪声特征值的幂级数对噪声子空间进行修正,进一步提高算法精度。最后推导了文中方法的无相位模糊问题。仿真实验表明,文中方法能够有效避免相位模糊,大大提高自由度并扩大阵列孔径,与传统MUSIC算法以及互质阵列MUSIC算法相比,在估计成功率、DOA估计精度等方面均具有更好的性能。To solve the problems of low degree of freedom, small array aperture, phase ambiguity and et al. of the traditional coprime array DOA estimation method, a method of non-circular signal dimensionality reduction DOA estimation based on coprime array MIMO radar is proposed. This method combines the advantages of coprime arrays and MIMO radars. Then the array is expanded using the non-circular signal characteristics to reconstruct the received signal matrix. Next, the dimensionality reduction is performed. In addition, it uses the power series of the noise eigenvalues to correct the noise subspace to further improve the accuracy of the algorithm. Finally, the problem of no phase ambiguity in the method in this paper is derived. Simulation experiments show that the method in this paper can effectively avoid phase ambiguity, greatly improve the degree of freedom, and expand the array aperture. Compared with the traditional MUSIC algorithm and the coprime array MUSIC algorithm, it has better performance in terms of estimation success rate and DOA estimation accuracy.

关 键 词：互质阵列 多输入多输出雷达 非圆信号 波达方向估计 MUSIC算法 

分 类 号：TN911.7[电子电信—通信与信息系统] TN958[电子电信—信息与通信工程]