Abstract: Traditional adaptive beamformers suffer performance degradation in the presence of multiple errors, including the array amplitude and phase errors of array elements, mismatches between the actual and the presumed array steering vectors of the desired signal, and the problem that the weight mismatches the measured data.A novel robust adaptive beamforming algorithm against the above multiple errors is proposed.The proposed algorithm, which is based on the Least Square Constant Modulus Algorithm(LSCMA) and combined with the optimal diagonal loading and covariance matrix taper(CMT) algorithm, has robustness against multiple errors.And this algorithm can not only overcome the shortage of worse performance due to high SNR of the desired signal, but also has better output Signal-to-Interferenceplus-Noise Ratio(SINR) performance over the existing methods.Simulations demonstrate its validity and superiority.