Performance analysis of fourth order cumulant method in direction of arrival estimation

Multiple Signal Classification (MUSIC) algorithm is a well-known method in direction of arrival (DOA) estimation for having high resolution capability and therefore it´s statistical performance have been investigated for different situations. One of them is the proximity of signal sources and under the condition of the colored noise. In this paper, DOA estimation is analyzed with presence of the white noise and the colored noise. In DOA estimation, the advantages of using fourth order cumulants of the signal are showed by the simulation results. Different downsized fourth order cumulant matrices are presented in order to reduce computational complexity of the cumulant.