A Fast Algorithm for DOA Estimation Based on Fourth-Order Cumulants

摘要

This paper proposes a novel direction of arrival (DOA) estimation algorithm that can rapidly estimate the DOAs of incidence signals. The conventional multiple signal classification (MUSIC) algorithm should perform an eigenvalue-decomposition which has high computational complexity. In addition, the MUSIC algorithm can't be used under complex noise environment. In contrast, the novel algorithm can rapidly obtain the signal subspace from a submatrix of a contracted quadricovariance fourth-order cumulants matrix and avoid eigenvalue decomposition. Computer simulation results show that the method is effective and still has good performance under colored Gaussian noise, non-Gaussian noise with symmetrical distributing and white noise because of the use of fourth-order cumulants.