【摘要】 ＥＳＰＲＩＴ是一种基于阵列数据相关矩阵信息的广义特征值分解的高分辨率波达方向（ＤＯＡ）估计算法．由于空间噪声的相关性，这种基于自相关的高分辨率算法将出现极大的偏差．本文针对自相关算法的局限性，提出一种基于高阶累积量的ＥＳＰＲＩＴ算法．实验结果表明，借助高阶累积量方法，不仅能有效地抑制高斯色噪声，而且还能获得高精度、高分辨率的渐进无偏估计．更多还原

【Abstract】 Due to the presence of colored noise of unknown covariance matrix, ESPRIT will provide biased results. Using the cumulant based algorithms, the characteristics of the noise don’t have to be known when the noise is colored Gaussian. In this paper, a cumulant based ESPRIT approach to DOA estimation for independent non Gaussian sources in colored Gaussian noise and with uniform linear array is presented. Simulation results are provided to illustrate the performance of the proposed algorithms.更多还原