脉冲噪声环境下基于相关熵的多径TDOA估计算法

李森; 王基福; 林彬

doi:10.11999/JEIT200358

脉冲噪声环境下基于相关熵的多径TDOA估计算法

doi: 10.11999/JEIT200358

大连海事大学信息科学技术学院大连 116026

基金项目: 国家自然科学基金(61971083)，中央高校基本科研业务费(3132019341)

详细信息

作者简介:
李森：女，1973年生，教授，主要研究方向为非高斯信号处理、通信信号处理、统计信号处理

王基福：男，1995年生，硕士生，研究方向为时延估计、非高斯信号处理

林彬：女，1977年生，教授，主要研究方向为通信信号处理、无线通信网络

通讯作者:
李森　listen@dlmu.edu.cn

中图分类号: TN911.7
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- 文章访问数: 629
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- 被引次数: 0
出版历程
- 收稿日期: 2020-05-08
- 修回日期: 2020-11-19
- 网络出版日期: 2020-11-25
- 刊出日期: 2021-02-23

A Multipath TDOA Estimation Algorithm Based on Correntropy under Impulsive Noise Environment

College of Information Science Technology, Dalian Maritime University, Dalian 116026, China

Funds: The National Natural Science Foundation of China (61971083), The Fundamental Research Funds for the Central University (3132019341)

摘要

摘要: 为了实现脉冲噪声环境下不受相关法分辨极限限制的高分辨率多径到达时差(TDOA)估计，该文利用相关熵理论中的最大相关熵准则(MCC)，结合将多维优化问题转化为多个1维优化问题的期望最大化方法，提出一种相关熵期望最大化(CEM)高分辨率多径TDOA估计算法。仿真实验结果表明该文所提出的算法在强脉冲噪声和低信噪比的环境下都具有很好的估计性能，并且算法中参数的选取不依赖于脉冲噪声的先验信息。
- 多径TDOA估计 /
- 期望最大化算法 /
- α-稳定分布 /
- 最大相关熵准则
Abstract: In order to realize the high-resolution multipath Time Difference Of Arrival (TDOA) estimation which is not limited by the resolution limit of correlation method under impulsive noise environment, a Correntropy Expectation-Maximum (CEM) high resolution multipath TDOA estimation algorithm is proposed based on the Maximum Correntropy Criterion (MCC). The multipath TDOA is estimated by transforming multi-dimensional optimization problems into multiple one-dimensional optimization problems. The simulation results show that the CEM algorithm has good estimation performance under strong impulsive noise and low SNR environment, and the selection of kernel size in CEM algorithm is not depend on the prior information of the impulsive noise.
- Multipath TDOA estimation /
- Expectation-Maximum (EM) algorithm /
- α-stable distribution /
- Maximum Correntropy Criterion (MCC)

HTML全文

图 1 不同广义信噪比下各算法的估计性能

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图 2 不同特征指数α下各算法的估计性能

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图 3 不同核长σ和不同特征指数α下CEM算法的估计性能

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图 4 不同核长σ和不同广义信噪比GSNR下CEM算法的估计性能

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