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

被引：2

作者：

Liu, Xiaoxiao ^{[1
]}

Xu, Jing ^{[1
]}

Liu, Yingwen ^{[1
]}

机构：

[1] East China Normal Univ, Sch Commun & Elect Engn, Shanghai Key Lab Multidimens Informat Proc, Shanghai 200241, Peoples R China

来源：

IEEE COMMUNICATIONS LETTERS | 2023年 / 27卷 / 01期

关键词：

Impulsive noise; Bernoulli-Gaussian noise; moment-based estimator; IMPULSIVE NOISE; PERFORMANCE; MITIGATION; SYSTEMS;

D O I：

10.1109/LCOMM.2022.3211067

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

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.

引用

页码：312 / 316

页数：5

共 18 条

[1] Analysis and Comparison of Several Mitigation Techniques for Middleton Class-A Noise [J].