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.