摘要
应用协方差稀疏迭代方法实现了短快拍条件下的柱面共形阵的二维波达方向估计。根据柱面共形阵的特点,利用欧拉旋转变换构造阵列流型矩阵;对协方差矩阵进行稀疏求解,把最小化协方差拟合代价函数转化为一个凸性的线性约束最小化问题,并通过循环最小化算法保证其全局收敛性;最后实时更新信源能量谱,谱峰对应的方位角和俯仰角即为所得二维波达方向估计值;仿真实验表明:所提算法只需少量快拍,即可实现高精度2-D DOA估计。
A Two Dimensional Direction of Arrival(2-D DOA)estimation algorithm for cylindrical conformal array antenna based on sparse iterative covariance-based estimation method was proposed.We achieved the transformation of the global Cartesian coordinates to the element local Cartesian coordinates with the help of the Euler rotation,constructing cylindrical conformal array data model.We got the sparse solution of covariance matrix,the linearly constrained minimization problem was handled instead of minimizing the covariance fitting function,and the global convergence was guaranteed by the cyclic minimization algorithm.The source energy spectrum was updated in time,and we can obtain the azimuth and elevation to actual sources from spectrum peak after convergence.Simulation results show that the proposed algorithm can accurately estimate the 2-D DOA with short snapshots.
作者
张状和
韩东
刘德亮
ZHANG Zhuanghe;HAN Dong;LIU Deling(Department of Missile Engineer,Army Engineering University Shijiazhuang Campus,Shijiazhuang 050003,China)
出处
《兵器装备工程学报》
CAS
北大核心
2020年第1期117-121,共5页
Journal of Ordnance Equipment Engineering
基金
国家自然科学基金项目(61601494).
关键词
柱面共形阵
2-D
DOA估计
协方差稀疏迭代(SPICE)
短快拍
cylindrical conformal array
2-D DOA estimation
sparse iterative covariance-based estimation method(SPICE)
short snapshots
作者简介
张状和(1995—),男,硕士研究生,主要从事阵列信号处理研究;通讯作者:韩东(1972—),男,博士,副教授,主要从事故障诊断与预测研究,E-mail:2146235215@qq.com。
