摘要
针对二维波达方向(DOA)估计算法运算量大的问题,基于平面阵列提出一种优化后的半实值MUSIC算法,将问题转化为对目标与x轴、y轴的2个夹角的估计,首先提取接收信号协方差矩阵的实部,并对其特征值分解得到噪声子空间;利用Kronecker积降维得到搜索区域减半的MUSIC谱,估计入射方向与x轴夹角;接着利用最小二乘法得到目标与y轴夹角的估计值;最后根据角度的对应关系方程求得二维DOA的估计值。仿真结果表明,该算法在保证精度的同时显著减小了运算量,且算法估计性能与常规MUSIC算法相当。
To reduce the computational complexity of the two-dimensional direction of arrival（DOA）with planar array,this paper proposes a semi-real-valued MUSIC algorithm.The paper transforms one of the DOA estimation into an estimation of the angles between the target and xaxis and yaxis.Firstly,the real part of the received signal covariance matrix is extracted and performed an eigen-decomposition to obtain the noise subspace.Then,the dimension of the process is reduced to achieve one dimension semi-realvalued MUSIC spectrum.Next,the paper evaluates the estimation of the angle between the incident direction and the xaxis.After that the paper utilizes the least-square method for getting an estimation of the angle between the target and yaxis.Finally according to the corresponding relationship between azimuth and elevation and the two angles,the two-dimensional DOA estimate is evaluated.This algorithm has the similar estimation performance with traditional MUSIC algorithm,significantly reducing computation complexity.The simulation results show that the algorithm is valid.
作者
刘亚宁
张秦
郑桂妹
师俊朋
LIU Yaning;ZHANG Qin;ZHENG Guimei;SHI Junpeng(Air and Missile Defense College, Air Force Engineering University, Xi＇an, 710051)
出处
《空军工程大学学报（自然科学版）》
CSCD
北大核心
2018年第3期54-59,共6页
Journal of Air Force Engineering University(Natural Science Edition)
基金
国家自然科学基金(61501504)
