一种基于加权多循环频率的盲波束形成算法

Novel blind adaptive beamforming algorithm based on weighted multi-cycle frequency

由于单循环频率盲波束形成算法仅利用了循环平稳信号的某个典型的循环频率,其性能对循环频率的选择有较大依赖性,只要循环频率存在偏差会导致整个算法失效,因此基于单循环频率的算法在实际应用中存在局限性。针对该问题,为了充分利用信号的多循环频率信息,消除循环频率偏差对算法的影响,研究并首次提出了一种加权的多循环频率盲波束形成算法,给出了多循环频率的最优加权组合方案,该方法采用迭代的方法寻找最优循环频率加权矢量。仿真实验和理论分析表明,在存在循环频率偏差的情况下,本文提出的算法性能优于基于单循环频率算法。

The blind adaptive beamforming algorithms based on the single cyclostationary frequency only use single one cyclostationary frequency,and their performance mainly depend on the cyclostationary frequency which we choose.Also,these algorithms suffer from severe performance degradation even if there is a small mismatch in the present of only one cycle frequency,so these kinds of algorithms have their limitations.In order to use the informa-tion of the multi-cycle frequency for cyclostationary signal sufficiently and reduce the affection caused by the cycle frequency error,in this paper,we first propose the weighted multi-cycle frequency algorithm,and present an effi-cient and optimal method to weight multi-cycle frequency aiming to search the optimal multi-cycle frequencies weighted vector.The theoretical analysis and several simulation results show the effectiveness of the proposed algo-rithm.