脉冲噪声环境下的二维DOA估计

Two-Dimensional DOA Estimation in Impulsive Noise Environment

为了解决传统波达方向(direction of arrival,DOA)估计算法无法在强脉冲噪声环境下实现高精度估计的问题,提出了一种基于新型相关熵协方差矩阵(correntropy-based covariance matrix,CBCM)的二维DOA估计算法。该算法用新型相关熵协方差矩阵代替传统子空间算法中的自相关函数,将相关熵对脉冲噪声的抑制作用充分应用到了DOA估计领域,并结合旋转不变子空间算法(estimating signal parameter via rotational invariance techniques,ESPRIT)实现了在均匀圆阵下的二维角度估计。计算机仿真实验结果表明:所提算法能够精确估计出所给信源的方位角和仰角,与其他算法相比,能够在小信噪比、小快拍数、强冲击噪声环境下依然保持着高精度、低误差的优点。

In order to solve the problem that traditional DOA estimation algorithm cannot achieve high precision estimation in the environment of strong impulsivde noise, a two-dimensional DOA estimation algorithm based on a new correntropybased covariance matrix(CBCM) is proposed. The new correlation entropy covariance matrix is used to replace the autocorrelation function in the traditional subspace algorithm, and the suppression effect of correlation entropy on impulsive noise is fully applied to the field of DOA estimation, and the two-dimensional angle estimation in uniform circular array is realized by combining the rotating invariant subspace algorithm(ESPRIT). Computer simulation result shows that the proposed algorithm can accurately estimate the azimuth angle and pitch angle of the source. Compared with other algorithms,the proposed algorithm can maintain the advantages of high accuracy and low error in extremely high impulsive noise environments along with low generalized signal to noise ratio(GSNR) levels and few available snapshots.