因为不需信号个数和导向向量等任何参考信息,基于周期平稳信号的盲波束形成算法在信号处理领域得到非常广泛的应用,然而这类方法是建立在循环频率准确已知基础上的,在实际应用中往往不是如此,循环频率的估计误差将导致算法性能变差,为了改进这点不足,在传统的循环自适应波束形成(CAB)算法的基础上,提出了一种改进的CAB盲波束形成算法,经理论分析和计算机仿真,证明了该算法是有效的。 Since no reference information such as the number of signals and steering vectors is needed, the blind beamforming algorithm based on periodic stationary signals is widely used in the field of signal processing. However, this method is based on the known accurate of the circulating frequencies. In practice, this is often not the case, and estimation error of the cyclic frequency will result in poor performance of the algorithm. To improve this problem, an improved CAB blind beamforming (CAB) algorithm is proposed based on the traditional cyclic adaptive beamforming (CAB) Forming algorithm, theoretical analysis and computer simulation show that the algorithm is effective.