Abstract: The cyclostationarity is amplified on propagator algorithm，and the cyclic propagator algorithm is presented.In virtue of the differences between the cyclic frenquency of desired signal and interference and the property that the noise is not spectral correlation on the cyclic frenquency of desired signal，the proposed algorithm can eliminate the effect of the noise and interference effective，and resolve the high resolution Direction-of-Arrival（DOA） estimation problem even when the number of source signals is more than the number of array components.Compared with the conventional eigen subspace algorithms，the presented method has lower computational complexity with insignificant performance degradation because of avoiding EVD（Eigen Value Decomposition） of the covariance matrix of the received signals.Simulations illustrate the efficiency of the algorithm.

Key words: propagator, cyclic propagator, spectral correlation, Direction-of-Arrival（DOA）

摘要： 将循环平稳理论引入传播算子算法中，提出了循环传播算子的DOA估计算法。利用有用信号与干扰信号循环频率的不同和噪声在感兴趣的循环频率上不呈现谱相关的性质，有效滤除了干扰信号和噪声的影响，实现了高分辨的DOA估计，并且突破了传统传播算子算法信号源数一定要小于阵列个数的限制;同时它不需要对高维空时协方差矩阵进行特征值分解，与基于特征子空间分解的算法相比运算量低，利于实时处理。仿真结果证明了该算法的有效性。

关键词: 传播算子, 循环传播算子, 谱相关, 波达方