In this paper a new algorithm for direction of arrival (DOA) estimation in coprime arrays based on the autocorrelation domain (AD) method is proposed. The spatial autocorrelation sequence of the virtual uniform linear array (ULA) associated with the coprime array is built by averaging the diagonals of the spatially smoothed covariance matrix. The AD method estimates the DOAs by solving a generalized eigenvalue problem and refining the obtained solution. The main advantage of the introduced method is a spatial spectrum without false peaks. Simulation results indicate that the proposed approach is better than existing methods, especially for small number of snapshots.

中文翻译：

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互素数组在自相关域中的DOA估计

提出了一种基于自相关域（AD）方法的共质数阵列到达方向估计算法。通过求平均空间平滑后的协方差矩阵的对角线，可以建立与互素数组相关的虚拟均匀线性数组（ULA）的空间自相关序列。AD方法通过解决广义特征值问题并改进获得的解来估计DOA。引入方法的主要优点是没有伪峰的空间光谱。仿真结果表明，该方法优于现有方法，特别是对于少量快照。