Parameter Estimation of Bernoulli-Gaussian Noise Using Fractional Order Absolute Moments

Xiaoxiao Liu; Jing Xu; Yingwen Liu

doi:10.1109/LCOMM.2022.3211067

Parameter Estimation of Bernoulli-Gaussian Noise Using Fractional Order Absolute Moments

Xiaoxiao Liu
, Jing Xu^*
, Yingwen Liu

^*此作品的通讯作者

通信与电子工程学院

East China Normal University

科研成果: 期刊稿件 › 文章 › 同行评审

4 引用（Scopus）

摘要

The prior information of impulsive noise at receiver will improve the performance of the communication systems impaired by impulsive noise. Therefore, parameters estimation techniques of Bernoulli-Gaussian noise are studied in this letter. A Fractional Order absolute Moment-based Estimator (FOME) is proposed and the Asymptotic Normalized Mean Square Error (ANMSE) of the FOME is derived. Both the ANMSE and simulation results show that the FOME performs better than the 1,2,3-order moment-based estimator, and the performance of the FOME will approach the expectation maximization estimator with the increase of the received signal length.

源语言	英语
页（从-至）	312-316
页数	5
期刊	IEEE Communications Letters
卷	27
期	1
DOI	https://doi.org/10.1109/LCOMM.2022.3211067
出版状态	已出版 - 1 1月 2023

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title = "Parameter Estimation of Bernoulli-Gaussian Noise Using Fractional Order Absolute Moments",

abstract = "The prior information of impulsive noise at receiver will improve the performance of the communication systems impaired by impulsive noise. Therefore, parameters estimation techniques of Bernoulli-Gaussian noise are studied in this letter. A Fractional Order absolute Moment-based Estimator (FOME) is proposed and the Asymptotic Normalized Mean Square Error (ANMSE) of the FOME is derived. Both the ANMSE and simulation results show that the FOME performs better than the 1,2,3-order moment-based estimator, and the performance of the FOME will approach the expectation maximization estimator with the increase of the received signal length.",

keywords = "Bernoulli-Gaussian noise, Impulsive noise, moment-based estimator",

author = "Xiaoxiao Liu and Jing Xu and Yingwen Liu",

note = "Publisher Copyright: {\textcopyright} 1997-2012 IEEE.",

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AU - Liu, Xiaoxiao

AU - Xu, Jing

AU - Liu, Yingwen

PY - 2023/1/1

Y1 - 2023/1/1

N2 - The prior information of impulsive noise at receiver will improve the performance of the communication systems impaired by impulsive noise. Therefore, parameters estimation techniques of Bernoulli-Gaussian noise are studied in this letter. A Fractional Order absolute Moment-based Estimator (FOME) is proposed and the Asymptotic Normalized Mean Square Error (ANMSE) of the FOME is derived. Both the ANMSE and simulation results show that the FOME performs better than the 1,2,3-order moment-based estimator, and the performance of the FOME will approach the expectation maximization estimator with the increase of the received signal length.

AB - The prior information of impulsive noise at receiver will improve the performance of the communication systems impaired by impulsive noise. Therefore, parameters estimation techniques of Bernoulli-Gaussian noise are studied in this letter. A Fractional Order absolute Moment-based Estimator (FOME) is proposed and the Asymptotic Normalized Mean Square Error (ANMSE) of the FOME is derived. Both the ANMSE and simulation results show that the FOME performs better than the 1,2,3-order moment-based estimator, and the performance of the FOME will approach the expectation maximization estimator with the increase of the received signal length.

KW - Bernoulli-Gaussian noise

KW - Impulsive noise

KW - moment-based estimator

UR - https://www.scopus.com/pages/publications/85139521695

U2 - 10.1109/LCOMM.2022.3211067

DO - 10.1109/LCOMM.2022.3211067

M3 - 文章

AN - SCOPUS:85139521695

SN - 1089-7798

VL - 27

SP - 312

EP - 316

JO - IEEE Communications Letters

JF - IEEE Communications Letters

IS - 1

ER -

Parameter Estimation of Bernoulli-Gaussian Noise Using Fractional Order Absolute Moments

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