循环平稳在阵列信号处理中的应用可以改善传统阵列信号处理方法仅仅利用空域先验信息对阵列误差敏感的缺点。但目前大部分的应用都是基于信号的循环频率已知的前提下进行处理 ,而在盲信号处理中 ,这一前提常常是不满足的。因此有必要研究在感兴趣信号的循环频率未知情况下的循环平稳盲信号处理问题。在现有的循环频率已知的循环平稳盲自适应波束形成方法的基础上提出一种新的盲信号处理方法 ,新方法不需要预先知道信号的循环频率。仿真结果证明了这种方法的有效性 The application of cyclic smoothing in array signal processing can improve the shortcomings of traditional array signal processing methods which are sensitive to array errors by using a priori spatial information only. However, at present, most applications are based on the premise that the signal’s cycle frequency is known, but this is often not satisfied in blind signal processing. Therefore, it is necessary to study the problem of cyclostationary blind signal processing under the condition that the frequency of the signal of interest is unknown. Based on the existing cyclostationary blind adaptive beamforming method with known cyclic frequency, a new blind signal processing method is proposed. The new method does not need to know the signal repetition frequency in advance. Simulation results show the effectiveness of this method