Fifty years of noise modeling and mitigation in power-line communications
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 …
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
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 …
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
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 …
supports sliced spectrum by filtering successive sub-bands. The filter design is an essential …
Robust DOA estimation for burst impulsive noise
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 …
presence of impulsive noise. In practical situations, impulses in the noise often appear in …
Diffusion maximum versoria criterion algorithms robust to impulsive noise
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 …
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 …
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 …
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) …
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 …
division multiplexing (OFDM) systems. In this paper, we propose a novel joint channel …
Distributed Quantized Detection of Sparse Signals Under Byzantine Attacks
This paper investigates distributed detection of sparse stochastic signals with quantized
measurements under Byzantine attacks, where sensors may send falsified data to the …
measurements under Byzantine attacks, where sensors may send falsified data to the …