An adaptive parametric time delay estimation of pulse signal via higher order statistics

P. Lin, S. Mao
{"title":"An adaptive parametric time delay estimation of pulse signal via higher order statistics","authors":"P. Lin, S. Mao","doi":"10.1109/HOST.1993.264568","DOIUrl":null,"url":null,"abstract":"The adaptive algorithm for parametric time delay estimate of pulse signal in Gaussian noise is studied by using third order statistics. The results of computer simulations show that the approach, that used the third order cross-correlation function to solve, quite well, the problem of the time delay estimation due to the correlated noise in the case where the signal is assumed to be a nonGaussian random signal and the noise to be Gaussian (white or colored), fails to deal with the pulse signal case. A modification to the algorithm is made to estimate the time delay which is presented by the parameter of the AR model by using the adaptive algorithm. Simulations are included to show the efficiency of the modification to the pulse signal.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HOST.1993.264568","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The adaptive algorithm for parametric time delay estimate of pulse signal in Gaussian noise is studied by using third order statistics. The results of computer simulations show that the approach, that used the third order cross-correlation function to solve, quite well, the problem of the time delay estimation due to the correlated noise in the case where the signal is assumed to be a nonGaussian random signal and the noise to be Gaussian (white or colored), fails to deal with the pulse signal case. A modification to the algorithm is made to estimate the time delay which is presented by the parameter of the AR model by using the adaptive algorithm. Simulations are included to show the efficiency of the modification to the pulse signal.<>
基于高阶统计量的脉冲信号自适应参数时延估计
研究了高斯噪声下脉冲信号参数时延估计的三阶统计量自适应算法。计算机仿真结果表明,该方法利用三阶互相关函数很好地解决了假设信号为非高斯随机信号,噪声为高斯(白色或彩色)时,由于相关噪声引起的时延估计问题,但不能处理脉冲信号情况。对算法进行了改进,利用自适应算法对AR模型参数所产生的时延进行估计。仿真结果表明,该方法对脉冲信号的处理是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信