Abstract: A wideband signals direction-of-arrival (DOA) algorithm based on sparse asymptotic minimum variance(SAMV)is presented in this paper, which can effectively improve spatial resolution and anti-coherent-interference performance. Based on spatial sparse signal model, the algorithm transforms wideband signal to narrowband, using coherent signal subspace method (CSM), and then iterates with asymptotic minimum variance (AMV) approach to carry out high-resolution DOA estimation. The spatial spectrums implemented by this algorithm have the specialty of high sparse and extremely low side lobe. What忆s more, the prior information isn’t required in this algorithm. Computer simulations show that, this method improves 30￡￥ spatial resolution compared to traditional DOA algorithm, and coherent interference resistance. Bearing鄄time recording (BTR) results of a sea trial also demonstrate the efficiency of the algorithm.