提出了一种基于非圆信号的稀疏分解DOA估计方法,用于解决非圆信号数多于阵元数时的DOA估计问题。该方法首先利用非圆信号为实值信号的特点,用阵列上的接收数据及其共轭拼接构造一个新的扩展矩阵,选择扩展协方差矩阵的第一列作为稀疏分解向量,利用扩展阵列的导向矢量构造完备字典,建立了DOA估计的稀疏模型。仿真结果证明了该方法的可行性和有效性。
A sparse decomposition method was proposed to estimate direction of arrival( DOA) problem of non-circular sources. Firstly,a new output of extended array was concatenated with their conjugate component according to the properties of real value of non-circular signals. After that,select the first of the extended array as sparse decomposition vectors and create over-complete dictionary with extended steering vectors,a sparse DOA estimation model was constructed. The simulation results show feasibility and effectiveness of this method.