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本文采用脉冲相关自适应滤波器,较成功地分离了周期极其接近而且在频域有混叠的信号。当信号叠加有白噪声时,这种算法同时具有滤波器的功能.此算法采用多个周期不同的脉冲串作为参考信号进行多信道处理,首先使用均方误差准则准确搜索被分离的周期信号的周期.文中证明了当参考信道中脉冲信号的周期与原始输入中某一信号的周期相同时,其自适应滤波器输出即是该周期的信号.因此我们使用脉冲相关自适应滤波器成功地分离了混叠的周期信号.在实验中我们使用了变μ自适应滤波技术以加快收敛速度及减少收敛后的失调。
In this paper, pulse-dependent adaptive filter, the more successful separation of the cycle is extremely close and in the frequency domain aliasing signal. When the signal is superimposed with white noise, this algorithm also has the function of the filter.This algorithm uses multiple bursts with different periods as the reference signal for multi-channel processing, the first one uses the mean square error criterion to accurately search for the separated periodic signal It is proved that the output of the adaptive filter is the signal of the period when the period of the pulse signal in the reference channel is the same as the period of a certain signal in the original input.So we use the pulse correlation adaptive filter to successfully separate The aliasing period signal.In the experiment we used variable μ adaptive filtering technology to speed up the convergence and reduce the convergence of the imbalance.