A fast direction-of-arrival estimation based on the fractional lower order cyclic correlation

A new algorithm for Direction-of-Arrival (DOA) estimation is presented in α-stable distribution noise environment. Since the DOA estimation algorithms based on the second order cyclic stationary correlation degrade seriously in non-Gaussian noise environment and need a large amount of calculation, this new algorithm based on fractional lower order statistics can get the accurate DOA estimation in impulsive noise environment and also it is fast because it avoids searching the spatial spectrum. Simulation results show the effectiveness of the algorithm.