冲击噪声下基于相关熵的二维ESPRIT算法

Correntropy-Based Two-Dimensional ESPRIT Algorithm under Impulsive Noise[JZ)][HS)]

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。

Abstract:

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'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 especially can estimate DOA efficiently in high impulsive noise environments(1<α<1.5), and the mean square error still remain at a low level. 