CAB盲自适应波束形成性能分析及改进算法

分析CAB盲自适应波束形成算法中有限采样数据导致的sinc窗循环泄漏效应及其在循环频率误差存在的性能，提出了种改进的CAB算法-遗忘因子CAB算法（F-CAB），该算法无需对循环频率进行估计，理论分析表明，在F-CAB算法中估计循环相关矩阵时引入遗忘因子可以大大降低算法对循环频率误差的敏感性，由仿真结果可知，在循环频率误差比较小的情况下，F-CAB算法具有良好的性能。

Performance Analysis of CAB Blind Adaptive Beamforming and Improved Algorithm

The performance of CAB blind adaptive beamforming was analyzed under cyclic frequency error. The analysis shows cycle leakage effect of sinc window due to finite data samples. An improved algorithm was presented, called forgetting factor CAB(F CAB), in which cyclic frequency need not be estimated. The analysis and simulation results show that adopting forgetting factor in estimation cyclic correlation matrix would largely depress the sensitivity of CAB to cyclic frequency error and the algorithm has excellent performance under little cyclic frequency error.