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针对传统窄带信号的DOA估计方法中存在分辨率低、不适用于低快拍以及阵元数较少的应用场合等问题,在分析了均匀圆阵模型以及目标空域稀疏特性后,结合改进平滑l0范数重构算法,提出了基于改进平滑l0范数的均匀圆阵DOA方法。该方法在利用稀疏矩阵处理阵列流形的基础上,通过选取组合函数作为近似估计l0范数的函数进行信号重构,提高收敛速度,并将其扩展到均匀圆阵DOA估计方法中,避免了特征分解和谱峰搜索过程,在保证估计分辨率的前提下,有效降低了计算量,减小天线的阵元数目。通过实验仿真,从而验证了该方法的可行性与有效性。
The traditional DOA estimation method for narrowband signals has some problems, such as low resolution, unsuitable for low snapshots and applications with few array elements. After analyzing the uniform circular array model and the target sparse features, Norm reconstruction algorithm, a uniform circular array DOA method based on improved smooth l0 norm is proposed. Based on the sparse matrix processing array manifold, the method reorganizes the signal by choosing the combination function as a function of approximating l0 norm to improve the convergence speed and extend it to the uniform circular array DOA estimation method, which avoids Eigen decomposition and peak search process, under the premise of ensuring the estimated resolution, effectively reduce the computational load and reduce the number of antenna elements. Through experimental simulation, the feasibility and effectiveness of this method are verified.