介绍了一种基于分布式并行处理平台的并行MUSIC实现方法。在实现过程中,针对MUSIC算法运算量大难以实时实现的特点,采取了有效减少计算量的措施。并根据MUSIC算法各个子任务的不平衡性,提出了一种基于软件流水的并行任务划分方法。经仿真试验证明,经过上述并行处理后可有效加快算法的完成时间,在工程实践中具有广泛的实际意义。 A parallel MUSIC implementation method based on distributed parallel processing platform is introduced. In the process of realization, aiming at the characteristics that the MUSIC algorithm is hard to be realized in real time, the measures to reduce the computational cost are taken. According to the imbalance of each sub-task of MUSIC algorithm, a parallel task partition method based on software pipeline is proposed. The simulation test proves that after the above parallel processing can effectively speed up the completion time of the algorithm, it has a wide range of practical significance in engineering practice.