基于累量的方向估计与阵列校正

Cumulant-Based Direction Finding and Array Calibration

本文提出了一种基于最大非冗余四阶累量集合的方向估计与阵列校正方法，该方法利用了四阶累量阵的所有非冗分信息，并具有对加性高斯噪声（白色或有色）不敏感、比传统协方差方法有较强的分辨性能和容差性能的特点．该方法可以在方向估计的同时实现阵列校正，并避免了迭代可能引起的不收敛问题，因而具有更强的稳健性．仿真试验表明了这种方法具有良好的方向估计性能．

An algorithm of direction finding and array calibration,based on the Maximal Set of Nonredundant Cumulant (MSNC),is presented in this paper. The algorithm utilizes all nonredundant information of the spatial fourth-order cumulants. It is insensitive to additive Gaussian noise (white or colored)and superior to conventional covariance - based DOA algorithms with increased tolerance,reduced estimation variances and enhanced resolvabilities. It also circumvents the iteration between direction finding and array calibration and provides robustness performance. Simulation experiments illustrate the potential performances of the proposed algorithm.