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绝大部分通信信号都具有循环平稳特性,利用信号的循环平稳特性可以实现自适应波束形成。但是,当存在与期望信号具有相同循环频率分量的恶劣干扰以及循环频率存在误差时,传统循环平稳自适应波束形成算法的性能将急剧下降。文中提出了一种基于多个循环频率的循环平稳自适应波束形成算法,有效提高了传统方法的输出信干噪比,并对恶劣干扰和循环频率误差具有鲁棒性,计算机仿真验证了该算法的有效性。
Most of the communication signals have a cyclostationary property, and adaptive beamforming can be achieved by utilizing the cyclostationarity of the signal. However, the performance of the conventional cyclostationary adaptive beamforming algorithm will be drastically reduced when there is bad interference with the same cyclic frequency component as the desired signal and there is an error in the cyclic frequency. In this paper, a cyclostationary adaptive beamforming algorithm based on multiple cyclic frequencies is proposed, which effectively increases the output signal-to-interference-noise ratio of the traditional method and is robust to bad interference and cyclic frequency error. The simulation results show that the proposed algorithm Effectiveness.