Results 51 to 60 of about 543 (157)

Hyperparameter‐Free Maximum Versoria Criterion Based Channel‐State Acquisition for mmWave Hybrid MIMO With Hardware Impairments

IET Communications, Volume 20, Issue 1, January/December 2026.
This paper addresses channel estimation in mmWave (millimetre wave) hybrid MIMO (multiple‐input multiple‐output) systems impaired by residual transceiver hardware nonidealities, modelled as additive non‐Gaussian noise via Bussgang decomposition. A hyperparameter‐free maximum Versoria criterion (MVC)‐based channel estimator is proposed, featuring a ...
Rangeet Mitra, Sandesh Jain, K. Venkateswaran, Rajat Kumar, Vimal Bhatia, Ondrej Krejcar   +5 more
wiley   +1 more source

Multi-convex combined filter based on maximum correntropy criterion

Dianzi Jishu Yingyong, 2018
Correntropy based algorithms are widely used in non-Gaussian signal processing, but they also suffer from the conflict between the step size and the misadjustment.
Wu Wenjing, Liang Zhonghua, Luo Qianwen, Li Wei   +3 more
doaj   +1 more source

Robust Sub‐Filter Based APA With Parametric Welsch Function for Acoustic Echo Cancellation Under Impulsive Noise

Electronics Letters, Volume 62, Issue 1, January/December 2026.
Acoustic echo cancellation (AEC) in actual communication systems is challenging due to highly correlated inputs, impulsive disturbances, and computational limitations. The traditional Affine Projection Algorithm (APA) is better than the Normalised Least Mean Square method, although it involves matrix inversion complexity and is susceptible to outliers (
Gagandeep Singh, Asutosh Kar, Vasundhara, Monorama Swain, Jesper Rindom Jensen, Mads Græsbøll Christensen   +5 more
wiley   +1 more source

Nonlinear Non-Gaussian Estimation Using Maximum Correntropy Square Root Cubature Information Filtering

IEEE Access, 2020
This paper concerns the nonlinear filter designing methods in the information space of the nonlinear systems with non-Gaussian noises. Firstly, the prediction information vector is obtained by the traditional square root cubature information filtering ...
Xiaoliang Feng, Yuxin Feng, Funa Zhou, Li Ma, Chun-Xi Yang   +4 more
doaj   +1 more source

Deep Robust Nonnegative Matrix Factorization for Hierarchical Data Representation

IET Image Processing, Volume 20, Issue 1, January/December 2026.
1. A hierarchical nonnegative matrix factorization method is proposed, which expands the single‐layer data representation to multiple layers, helping to explore the data's structure. 2. The L21 norm increases the robustness of the model, making the algorithm insensitive to noise. 3.
Song Yang, Li Sun, Dezhou Kong, Yun Wang
wiley   +1 more source

Weighted maximum mixture complex correntropy-based past algorithm: a novel approach for low-altitude target parameter estimation

Ain Shams Engineering Journal
Aiming at the challenges of strong ground clutter interference, low signal-to-noise ratio, and near-field non-stationary signals in detecting low, slow, and small (LSS) targets in low-altitude environments, this paper proposes a joint parameter ...
Li Li, Tianshuang Qiu
doaj   +1 more source

Robust Hammerstein Adaptive Filtering under Maximum Correntropy Criterion

Entropy, 2015
The maximum correntropy criterion (MCC) has recently been successfully applied to adaptive filtering. Adaptive algorithms under MCC show strong robustness against large outliers.
Zongze Wu, Siyuan Peng, Badong Chen, Haiquan Zhao   +3 more
doaj   +1 more source

Adaptive blind equalization for multi‐level QAM signals in impulsive noise environment

IET Communications, 2022
A maximum correntropy criterion‐blind clustering multi‐modulus algorithm (MCC‐BCMMA) is proposed to equalize multi‐level quadrature amplitude modulation (QAM) channels in impulsive noise environment.
Yijiao Zhang, Shulin Tian, Huiqing Pan, Qinchuan Zhang, Duyu Qiu, Yi Zhou   +5 more
doaj   +1 more source

A Cooperative Adaptive Kalman Filter for Robust Terrain‐Referenced Navigation in Complex Environments

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This paper introduces a Cooperative Adaptive Kalman Filter (CAKF) to prevent filter divergence in a Terrain‐Aided Navigation system by synergistically adapting its process noise (Q), measurement noise (R), and state covariance (P) based on vehicle manoeuvres and terrain quality.
Liyue Liang, Daojie Yu, Jianping Du, Yijie Bai, Tao Li, Jiale Zhou   +5 more
wiley   +1 more source

A TC‐Based Multicomponent LFM Signal Characterization Method Under Impulsive Noise and Its Application

IET Signal Processing, Volume 2026, Issue 1, 2026.
The burst‐like and high‐amplitude characteristics of impulsive noise, which markedly differ from those of Gaussian noise, render methods based on the Gaussian assumption unable to accurately characterize signals under impulsive noise. Moreover, when dealing with multicomponent signal, existing impulsive noise suppression methods inevitably introduce ...
Weiwei Shang, Yong Guo, Lidong Yang, Tianyuan Liu   +3 more
wiley   +1 more source