Abstract: Abstract：[Objectives] In this paper, an online calibration DOA estimation algorithm is proposed to solve the problem of error influence by strong clutter in the flight of rotating missile direction finding system. [Methods] Using the prior condition of the known array-rotation angles, the maximum likelihood criterion-based method is able to estimate the array errors and spatial-polarization parameters of signal for conformal array. [Results] Simulation experiments show that the proposed algorithm can achieve on-line error calibration and signal parameters estimation for arrays with angle-dependent amplitude-phase inconsistency errors. Moreover, the estimation performance of the algorithm is related to the rotation times of the array platform and signal-noise ratio（SNR） ratio. When the number of rotating reaches more than 24, the estimation error of spatial domain parameters is less than under the condition of low SNR=10dB. [Conclusions] This algorithm uses the idea of fractal dimension alternating processing to solve the multi-parameters estimation problem, which can ensure the convergence of parameters and greatly reduce the computational complexity.