Fine‐grained multi‐path channel estimation and matched reception by single metasurface antenna
IET Communications, Volume 19, Issue 1, January/December 2025.This paper investigates methods to enhance antenna's channel information extraction capabilities in wireless communications, particularly in challenging multi‐path environments. Focusing on the issues of channel information loss due to multi‐path superposition at the receiver and multi‐path fading during wireless channel propagation, this paper ...
Yinuo Hao, Liang Jin, Shuaifang Xiao
wiley +1 more source
Deep multi‐agent RL for anti‐jamming and inter‐cell interference mitigation in NOMA networks
IET Communications, Volume 19, Issue 1, January/December 2025.Four multi‐agent reinforcement learning algorithms: Q‐learning based unselfish (QLU), deep QLU, hot booting deep QLU, and decreased state deep QLU. We also provide a game‐theoretic analysis that demonstrates the algorithms' convergence to the optimal network‐wide strategy with high probability.
Sina Yousefzadeh Marandi +3 more
wiley +1 more source
Co-channel Interference Cancellation for Space-Time Coded OFDM Systems Using Adaptive Beamforming and Null Deepening [PDF]
Raungrong Suleesathira, "Co-channel Interference Cancellation for
Space-Time Coded OFDM Systems Using Adaptive Beamforming and Null Deepening",
Journal of Telecommunications, Volume 1, Issue 1, pp6-13, February 2010, 2010 Combined with space-time coding, the orthogonal frequency division multiplexing (OFDM) system explores space diversity. It is a potential scheme to offer spectral efficiency and robust high data rate transmissions over frequency-selective fading channel.
arxiv
KLMS‐Net: Deep unrolling for kernel least mean square algorithm
Electronics Letters, Volume 61, Issue 1, January/December 2025.This letter proposes a novel network framework based on the deep unrolling of kernel least mean square (KLMS‐Net). KLMS‐Net transforms the iterative process of KLMS into the forward propagation of deep neural networks, which learn the implicit feature mappings in a model‐driven manner, providing deep neural networks with explicit interpretability ...
Yu Tang +5 more
wiley +1 more source
Plane-Wave Ultrasound Beamforming Through Independent Component Analysis [PDF]
arXiv, 2020 Beamforming in plane-wave imaging (PWI) is an essential step in creating images with optimal quality. Adaptive methods estimate the apodization weights from echo traces acquired by several transducer elements. Herein, we formulate plane-wave beamforming as a blind source separation problem.
arxiv
Null Broadening Robust Adaptive Beamforming Algorithm Based on Power Estimation. [PDF]
Sensors (Basel), 2022 Yu Z, Cui W, Du Y, Ba B, Quan M.
europepmc +1 more source
Robust Adaptive Beamforming Algorithm for Sparse Subarray Antenna Array Based on Hierarchical Weighting. [PDF]
Micromachines (Basel), 2022 Yang J, Liu X, Tu Y, Li W.
europepmc +1 more source
Robust Adaptive Beamforming Based on Steering Vector Estimation via Semidefinite Programming Relaxation [PDF]
A. Khabbazibasmenj, S.A. Vorobyov, and A. Hassanien, "Robust
adaptive beamforming based on steering vector estimation with as little as
possible prior information," IEEE Trans. Signal Processing, vol. 60, no. 6,
pp. 2974-2987, June 2012, 2010 We develop a new approach to robust adaptive beamforming in the presence of signal steering vector errors. Since the signal steering vector is known imprecisely, its presumed (prior) value is used to find a more accurate estimate of the actual steering vector, which then is used for obtaining the optimal beamforming weight vector.
arxiv
Low-Complexity Robust Adaptive Beamforming Based on INCM Reconstruction via Subspace Projection. [PDF]
Sensors (Basel), 2021 Duan Y, Yu X, Mei L, Cao W.
europepmc +1 more source
Adaptive beamforming method based on recursive maximum correntropy in impulsive noise with alpha-stable process [PDF]
arXiv, 2016 As a well-established adaptation criterion, the maximum correntropy criterion (MCC) has been receiving increasing attention due to its robust against outliers. In this paper, a new complex recursive maximum correntropy (CRMC) algorithm without any priori information on the noise characteristics, is proposed under the MCC.
arxiv