摘要
对带不同的时滞、不同的有色观测噪声和白噪声的ARMA信号,文章根据模型转换算法,推导出相应的反卷积Wiener滤波器,通过计算互协方差阵得到加权阵,采用标量加权得到单通道ARMA信号的最优标量加权融合反卷积Wiener滤波器。通过仿真例子说明,按标量加权融合算法的精度高于每个局部滤波器的精度,验证了算法的正确性。
For ARMA signals with different time-delays,different colored observation noise and white noise,according to the model conversion algorithm,this paper deduces the corresponding deconvolution Wiener filter,The weighted matrix is obtained by calculating the cross covariance matrix,and the optimal scalar weighted fusion deconvolution Wiener filter of single channel ARMA signal is obtained by scalar weighting.Simulation examples illustrate that the accuracy of scalar-weighted fusion algorithm is higher than that of each local filter,which verifies the correctness of the algorithm.
作者
孙赫
王稳稳
周国振
程婵娟
封文清
SUN He;WANG Wenwen;ZHOU Guozhen;CHENG Chanjuan;FENG Wenqing(Nanjing Paneng Electric Power Technology Development Co.,Ltd.,Nanjing 210032,China;School of Information and Control Engineering,China University of Mining and Technology,Xuzhou 221116,China)
出处
《现代信息科技》
2022年第3期54-57,共4页
Modern Information Technology
