中文摘要：

针对基于相关函数的波达方向（direction of arrival，DOA）估计方法在冲击噪声环境下性能下降明显甚至失效的问题，提出基于相关熵（Correntropy）的二维ESPRIT算法；该方法利用相关熵在冲击噪声环境下具有鲁棒性的优点，将受干扰信号的自相关函数替换为相关熵函数，并结合二维ESPRIT算法实现在冲击噪声环境下进行二维DOA估计；仿真表明，与基于分数低阶统计（Fractional Lower Order Statistics，FLOS）算法相比，该算法呈现明显优势，特别在高的冲击噪声条件下（1＜α＜1．5）能对信源方向进行更加有效的估计，且均方误差值仍保持很低。

英文摘要：

In order to solve the problem that the correlation function-based DOA （Direction of Arrival,DOA）estimation method has an obvious performance degradation or even a total efficiency loss in the impulsive noise environment,a new two-dimensional ESPRIT algorithm based on correntropy was proposed.It takes advantage of correntropy’s robustness in the impulsive noise environment,replaces the signal＆#39;s autocorrelation function with the correntropy function and combines with two-dimensional ESPRIT algorithm to estimate two-dimensional DOA in the impulsive noise environment.Simulation results show that CRCO-ESPRIT outperforms the existing FLOS algorithm and espe-cially can estimate DOA efficiently in high impulsive noise environments （1＆lt;α＆lt;1. 5）,and the mean square error still remain at a low level.