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高阶统计量在主动声呐混响信号谱估计中的应用
引用本文:刘冰雍,王平波,蔡志明.高阶统计量在主动声呐混响信号谱估计中的应用[J].武汉理工大学学报(交通科学与工程版),2009,33(3):454-457.
作者姓名:刘冰雍  王平波  蔡志明
作者单位:海军工程大学电子工程学院,武汉,430033
基金项目:国家重点基础研究发展规划(973计划) 
摘    要:对主动声呐混响信号进行谱估计,用高阶统计量对混响信号建立自回归模型,并建立基于高阶统计量的Yule-walker方程,解方程得到估计系数.将高阶统计量谱估计的结果与二阶统计量估计的结果进行比较,得出高阶统计量对自回归模型的谱估计优于二阶的结果.高阶统计量能弥补二阶统计量无法反映信号相位特性的不足,提高谱估计的一致性.

关 键 词:高阶统计量  谱估计  自回归模型  混响

Application of Higher-order Statistics on the Spectral Estimation of the Reverberation of the Active Sonar
Liu Bingyong,Wang Pingbo,Cai Zhiming.Application of Higher-order Statistics on the Spectral Estimation of the Reverberation of the Active Sonar[J].journal of wuhan university of technology(transportation science&engineering),2009,33(3):454-457.
Authors:Liu Bingyong  Wang Pingbo  Cai Zhiming
Institution:College of Electronic Engineering;Naval Univ.of Engineering;Wuhan 430033
Abstract:On the spectral estimation of the reverberation of the active sonar,auto-regressive model and Yule-Walker equation are established using higher-order statistics to gain the coefficient.Comparing the estimated spectral using higher-order with the estimated spectral using second-order statistics,it can be concluded that the use of higher-order statistics on the estimate of spectral is better than the use of second-order statistics.Higher-order statistics can make up for the disadvantage that the second-order ...
Keywords:higher-order statistics  spectral estimation  auto-regressive model  reverberation  
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