Interference suppression using deep learning: Current approaches and open challenges

T Oyedare, VK Shah, DJ Jakubisin, JH Reed - IEEE Access, 2022 - ieeexplore.ieee.org
deep learning-based interference suppression. To account for the limitations of deep
learning-based interference suppression … explores deep learning based interference suppression

Adaptive modem and interference suppression based on deep learning

P Wei, S Wang, J Luo - Transactions on Emerging …, 2021 - Wiley Online Library
… -tone interference suppression based on the deep learning model when signal to interference
… Single-tone interference suppression based on the deep learning model when signal to …

Adaptive impulsive noise suppression: A deep learning-based parameters estimation approach

Y He, C Zou, D Li, R Yao, F Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
… to be suppressed which is a major interference in scenarios … noise suppression method is
combined with deep learning, … performance of impulsive noise suppression. By constructing a …

A Comprehensive Analysis of Deep Learning for Interference Suppression, Sample and Model Complexity in Wireless Systems

TR Oyedare - 2024 - vtechworks.lib.vt.edu
… ) issues that arise from using deep learning. First, we … in deep learning-based interference
suppression. To account for the limitations of deep learning-based interference suppression

Deep learning-based autoencoder for m-user wireless interference channel physical layer design

D Wu, M Nekovee, Y Wang - IEEE Access, 2020 - ieeexplore.ieee.org
interference strength is predicted through a DL learning process. With the real-time online
learning of the knowledge of the interference … an interference channel for all interference levels…

Deep learning-based multi-tone interference suppression for short polar codes

B Husain, H Mohamed, L Haering… - 2021 IEEE 93rd …, 2021 - ieeexplore.ieee.org
interference in the first place. The problem of multi-tone interference (MTI) detection and
suppression … In this type of interference, the MTI source selects a specific number of subcarriers …

Self-supervised Learning Method for SAR Multi-Interference Suppression

X Cen, Y Li, Z Han, T Gu, P Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
learning interference suppression method based on deep learning, including interference
learning anti-interference method based on deep learning. In order to deal with multiple …

Active RIS Assisted Sup-Degree of Freedom Interference Suppression for Large Antenna Array: A Deep Learning Approach with Location Awareness

Z Zhang, H Cao, J Fan, J Peng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
… Specifically, the model provides a new solution to sup-degree of freedom (DoF) interference
suppression, which means that the amount of interferences surpasses the array DoF. We …

A radio-signal interference suppression approach based on denoising autoencoder

H Huang, D Shen, X Tian, P Cheng… - … and Systems for …, 2023 - spiedigitallibrary.org
… This paper develops a deep learning-based radio signal interference suppression
method by leveraging the adaptive features and Convolutional Neural Network (CNN) based …

Deep Learning‐Based Active Jamming Suppression for Radar Main Lobe

Y Jiang, Y Yang, W Zhang, L Guo - IET Signal Processing, 2024 - Wiley Online Library
… SMSP interference suppression, … interference suppression algorithm proposed in this paper
can effectively figure against a variety of interferences, not just one interference suppression. …