In order to solve the problem that the traditional subspace algorithm can not correctly distinguish the mixed sources, a joint estimation algorithm of incident angle and polarization parameters of mixed signals based on orthogonal dipole array is proposed in this paper. Firstly, according to the estimation of the angle and polarization parameters of the uncorrelated signal, the orthogonal dipole uniform line array is divided into two overlapping subarrays, and the target matrix is constructed by using the denoising autocorrelation matrix and the cross-correlation matrix. The angle information of the uncorrelated signal is estimated according to the principle of subspace orthogonality, and the polarization information of the uncorrelated signal is estimated by using the correlation between the received data of the orthogonal dipole array. Secondly, the angle and polarization parameters of the coherent signals are estimated, and the eigenvectors corresponding to each correlation group are rearranged to obtain a new reconstruction matrix to restore the rank of the data covariance matrix. Thus, the angle estimation of the coherent signal in each coherent group is realized. The least square method is used to estimate the polarization information of the coherent signal in each coherent group. Finally, the simulation is used to validate the effectiveness and reliability of the proposed algorithm. Compared with the existing methods, the proposed algorithm reduces the consumption of hardware resources, improves the accuracy of angle estimation of coherent signals, and can realize the estimation of polarization parameters.