Fifty years of noise modeling and mitigation in power-line communications

T Bai, H Zhang, J Wang, C Xu… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Building on the ubiquity of electric power infrastructure, power line communications (PLC)
has been successfully used in diverse application scenarios, including the smart grid and in …

Weighted diffusion continuous mixed p-norm algorithm for distributed estimation in non-uniform noise environment

M Korki, H Zayyani - Signal Processing, 2019 - Elsevier
This paper presents weighted diffusion least mean p-power (LMP) algorithm for distributed
estimation of an unknown sparse vector in a sensor network. We consider a network, in …

Universal filtered multi-carrier transmission with adaptive active interference cancellation

Z Zhang, H Wang, G Yu, Y Zhang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Universal filtered multi-carrier (UFMC) is one of the enabling techniques for 5G, which
supports sliced spectrum by filtering successive sub-bands. The filter design is an essential …

Robust DOA estimation for burst impulsive noise

M Guo, Y Sun, J Dai, C Chang - Digital Signal Processing, 2021 - Elsevier
This paper describes a robust sparse Bayesian learning approach for DOA estimation in the
presence of impulsive noise. In practical situations, impulses in the noise often appear in …

Diffusion maximum versoria criterion algorithms robust to impulsive noise

S Zandi, M Korki - Digital Signal Processing, 2022 - Elsevier
This paper proposes robust diffusion maximum versoria criterion algorithms to enhance the
performance of the distributed estimation in a network of agents under impulsive noise …

[PDF][PDF] OFDM 系统的信道与脉冲噪声的联合估计方法

吕新荣, 李有明, 余明宸 - Journal on Communication …, 2018 - infocomm-journal.com
针对OFDM 系统中的脉冲噪声问题, 提出一种基于压缩感知技术的脉冲噪声抑制方法.
该方法将信道脉冲响应和脉冲噪声联合视作一个稀疏向量, 将发射数据符号视作未知参数 …

Novel recovery algorithms for block sparse signals with known and unknown borders

N Haghighatpanah, RH Gohary - IEEE Transactions on Signal …, 2022 - ieeexplore.ieee.org
This paper presents two novel Bayesian learning recovery algorithms for block sparse
signals corresponding to two distinct cases. In the first case, the signals within each block …

Markov chain-based frequency correlation processing algorithm for wideband DOA estimation

J Zhang, M Bao, Z Chen, J Zhao, H Hou, J Yang - Signal Processing, 2023 - Elsevier
For wideband direction-of-arrival (DOA) estimation, a Markov Chain-based frequency
correlation processing algorithm is proposed in the sparse Bayesian learning (SBL) …

Joint channel estimation and impulsive noise mitigation method for OFDM systems using sparse Bayesian learning

X Lv, Y Li, Y Wu, X Wang, H Liang - IEEE Access, 2019 - ieeexplore.ieee.org
The impulsive noise can deteriorate sharply the performance of orthogonal frequency
division multiplexing (OFDM) systems. In this paper, we propose a novel joint channel …

Distributed Quantized Detection of Sparse Signals Under Byzantine Attacks

C Quan, YS Han, B Geng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper investigates distributed detection of sparse stochastic signals with quantized
measurements under Byzantine attacks, where sensors may send falsified data to the …