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基于多音激励的Volterra频域核非参数辨识方法

韩海涛 马红光 于宁宇 张家良

韩海涛, 马红光, 于宁宇, 张家良. 基于多音激励的Volterra频域核非参数辨识方法[J]. 西南交通大学学报, 2013, 26(2): 250-256. doi: 10.3969/j.issn.0258-2724.2013.02.010
引用本文: 韩海涛, 马红光, 于宁宇, 张家良. 基于多音激励的Volterra频域核非参数辨识方法[J]. 西南交通大学学报, 2013, 26(2): 250-256. doi: 10.3969/j.issn.0258-2724.2013.02.010
HAN Haitao, MA Hongguang, YU Ningyu, ZHANG Jialiang. Method of Identifying Volterra Frequency-Domain Kernels Based on Stimulus of Multi-tone Signal[J]. Journal of Southwest Jiaotong University, 2013, 26(2): 250-256. doi: 10.3969/j.issn.0258-2724.2013.02.010
Citation: HAN Haitao, MA Hongguang, YU Ningyu, ZHANG Jialiang. Method of Identifying Volterra Frequency-Domain Kernels Based on Stimulus of Multi-tone Signal[J]. Journal of Southwest Jiaotong University, 2013, 26(2): 250-256. doi: 10.3969/j.issn.0258-2724.2013.02.010

基于多音激励的Volterra频域核非参数辨识方法

doi: 10.3969/j.issn.0258-2724.2013.02.010
基金项目: 

国家自然科学基金资助项目(61174207,61074072)

Method of Identifying Volterra Frequency-Domain Kernels Based on Stimulus of Multi-tone Signal

  • 摘要: 为解决Volterra频域核辨识困难的问题,探讨了多音信号激励下Volterra频域核的输出性质,提出了一种基于多音激励的Volterra频域核的非参数辨识方法.该方法选择具有合适频率基的多音信号作为测试激励信号,使各阶核的输出频率成分具有唯一性,进而利用Vandermode法使各阶核的输出分离.推导出了Volterra频域核的辨识公式,并进行了理论和仿真分析.理论分析和仿真结果表明:该方法可准确地辨识出任一阶Volterra频域核,绝对误差达到10-4 V数量级,克服了传统辨识方法无法准确辨识及辨识结果仅限于前3阶Volterra频域核的缺点,具有精度高、可操作性强的特点.

     

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出版历程
  • 收稿日期:  2011-11-03
  • 刊出日期:  2013-04-25

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