基于最小CIM准则的Farrow结构分数时延估计

doi:10.11959/j.issn.1000-436x.2015024

通信学报 ›› 2015, Vol. 36 ›› Issue (1): 218-223.doi: 10.11959/j.issn.1000-436x.2015024

基于最小CIM准则的Farrow结构分数时延估计

于玲^1,²,邱天爽¹

¹ 大连理工大学电子信息与电气工程学部，辽宁大连 116024
² 辽宁工业大学电子与信息工程学院，辽宁锦州 112021

出版日期:2015-01-25 发布日期:2017-06-21
基金资助:
国家自然科学基金资助项目;国家自然科学基金资助项目;国家自然科学基金资助项目;国家科技支撑计划基金资助项目

Fractional time delay estimation method based on the minimum CIM and the Farrow structure

ULing Y^1,²,IUTian-shuang Q¹

¹ Faculty of Electronic Information and Electrical Engineering,Dalian University of Technology,Dalian 116024,China
² School of Electronic ＆ Information Engineering,Liaoning University of Technology,Jinzhou 112021,China

Online:2015-01-25 Published:2017-06-21
Supported by:
The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China;The Science and Technology Support Program

摘要/Abstract

摘要：

提出了一种基于最小相关熵诱导距离（CIM）和Farrow结构的分数时延估计算法。该算法具有较强的抗脉仲噪声的能力，且所需观测数据较少，时延估计结果精度较高。理论分析和仿真实验表明，所提算法的估计精度和抗脉仲噪声性能均优于基于分数低阶统计量的LETDE算法。

关键词: 分数时延估计, 相关熵, 最小CIM准则, Farrow结构

Abstract:

A fractional time delay estimation algorithm is proposed which is based on the minimum CIM and the Farrow structure (referred to as MCIMFarrow).The proposed MCIMFarrow algorithm performs well in symmetric Alpha stable noise conditions.And it needs little observation data to gain high accuracy estimation results.The theoretical analyses and the simulation results show that the MCIMFarrow is much better than the LETDE algorithm based on the fractional lower order moments in the accuracy of the time delay estimation and the robustness in impulsive noise conditions.

Key words: fractional time delay estimation, correntropy, minimum CIM criterion, Farrow structure

于玲,邱天爽. 基于最小CIM准则的Farrow结构分数时延估计[J]. 通信学报, 2015, 36(1): 218-223.

ULing Y,IUTian-shuang Q. Fractional time delay estimation method based on the minimum CIM and the Farrow structure[J]. Journal on Communications, 2015, 36(1): 218-223.

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参考文献 20

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基于最小CIM准则的Farrow结构分数时延估计

Fractional time delay estimation method based on the minimum CIM and the Farrow structure

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