An efficient blind-polarized direction-of-arrival (DOA) estimation method of conical conformal arrays is proposed with an idea of covariance matrix splitting of snapshot data being introduced into the direction finding of conical conformal array antennas. In this method, the subspace estimation is in the process of real-valued, and the ‘mirror blur’ problem caused by the splitting of the covariance matrix is solved by sub-array division. Simultaneously, the theoretical performance circle is analyzed, the improvement of algorithm complexity is discussed, and the algorithm complexity is effectively reduced on the premise of ensuring the accuracy of DOA estimation. The simulation experiments show that when the signal-to-noise ratio is 10 dB, the estimation accuracy of the proposed algorithm is basically the same as that of the existing blind polarization complex\|valued algorithm, the computation amount makes up 60%~70% of the existing complex-valued algorithm, and the algorithm is valid.