A Fractional Lower Order Cyclic Correlation (FLOCC)-based MUSIC method was proposed for estimation of the Direction of Arrival (DOA) and polarization parameters for a single electromagnetic vector sensor in mixed α and Gaussian noises and cycle stable interference signals. On the basis of the cyclic stability of signals, the FLOCC function was used to suppress the cyclic stationary disturbance signal and the mixed α and Gaussian noises. Then, MUSIC method was used to estimate the DOA and polarization parameters of the single electromagnetic vector sensor, and the mutual independence between the DOA parameters and the polarization parameters was used to simplify the four dimensional search of traditional MUSIC method into two times of two dimensional search to reduce the calculated amount of the algorithm. The proposed algorithm was compared with the traditional MUSIC method based on fractional lower order moment in the simulation. The results show that the proposed method can sufficiently suppress any of cyclic stationary disturbances with different cycle frequencies. When the mixed signal to noise ratio of α and Gaussian noises is 0 dB and the signal to interference ratio is 3 dB, the root mean square error of the estimation of DOA and polarization parameters is 0.3° and 0.7 °, respectively, being superior to that of the traditional MUSIC method.