A Fast Wideband DOA (Direction of Arrival) Estimation Algorithm Based on Improved FourthOrder Cumulant

To solve the problem that the number of signal sources is more than the number of sensors when Gaussian colored noise exists, a fast wideband DOA estimation algorithm based on improved fourth-order cumulant is proposed. The complexity of the traditional fourth-order cumulant algorithm is high which influences the real-time demand. This paper proposes a fast algorithm to improve the traditional methods by eliminating the redundant information of the fourth-order cumulant, and it can reduce the computational complexity and the running time effectively. And the algorithm using the signal subspace method doesn't need angle pre-estimation when constructing the focusing matrix, so it can improve the estimation accuracy obviously. The simulation results show the effectiveness and robustness of the algorithm.