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基于高阶统计量的时延估计

Time-delay Estimation Based on Higher-order Statistics

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【作者】 刘勍张晓曦温志贤张利军

【Author】 Liu Qing1,Zhang Xiaoxi2,Wen Zhixian1,Zhang Lijun1(1.School of Physics & Information Science,Tianshui Normal University,Tianshui Gansu 741001,China;2.School of Electronic Engineering,Xidian University,Xi’an Shaanxi 710071,China)

【机构】 天水师范学院物理与信息科学学院西安电子科技大学电子工程学院

【摘要】 时间延迟估计是现代数字信号处理领域中一个研究热点.在介绍相关时延估计的基础上、重点分析和讨论了基于互累积量时延估计和基于双谱时延估计,并与相关时延估计进行了比较.通过理论分析和实验仿真,得出了基于高阶统计量时延估计方法在对实际含有高斯噪声时间序列信号的估计中具有时延估计精度高,相对误差小,对高斯噪声的消除能力强等优点.

【Abstract】 Time-delay estimation is a study hotspot in the field of modern digital signal processing.Time-delay estimation based on mutual-cumulants and based on bispectrum were mainly analysed and discussed on the basis of introducing correlated time-delay estimation,which were compared with correlated time-delay estimation.Theoretical analysis and experimental simulation showed that time-delay estimation had many strongpoints based on higher-order statistis,such as higher accurate time-delay estimation,smaller relatively error and better capability to remove Gauss noise in pratice time sequence signal estimation with Gauss noise.

【基金】 天水师范学院“青蓝”人才工程项目阶段性成果
  • 【文献出处】 天水师范学院学报 ,Journal of Tianshui Normal University , 编辑部邮箱 ,2009年05期
  • 【分类号】TN911.23
  • 【被引频次】2
  • 【下载频次】268
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