Results 221 to 230 of about 1,876,985 (311)

A Message Passing Based Iterative Algorithm for Robust TOA Positioning in Impulsive Noise

IEEE Transactions on Vehicular Technology, 2023
In this contribution, we explore further possibilities for statistical robustification of the traditional $\ell _{2}$-space based time-of-arrival location estimator under impulsive noise conditions. We replace the non-robust $\ell _{2}$ loss by the $\ell
Wenxin Xiong, C. Schindelhauer, H. So, S. J. Rupitsch   +3 more
semanticscholar   +1 more source

Automatic Modulation Classification in Impulsive Noise: Hyperbolic-Tangent Cyclic Spectrum and Multibranch Attention Shuffle Network

IEEE Transactions on Instrumentation and Measurement, 2023
Automatic modulation classification plays an essential role in cognitive communication systems. Traditional automatic modulation classification approaches are primarily developed under Gaussian noise assumptions.
Jitong Ma, Mutian Hu, Tianyu Wang, Zhengyan Yang, Liangtian Wan, T. Qiu   +5 more
semanticscholar   +1 more source

Effect of Impulsive Noise on IRS-Aided Communication Systems

IEEE Transactions on Vehicular Technology, 2023
Recent studies have explored the potential benefits of the intelligent reflecting surface (IRS) in different wireless communication scenarios. However, no work has quantitatively analyzed the performance of IRS-aided communication systems impaired by non-
Umer Ashraf, G. R. Begh
semanticscholar   +1 more source

Variational Bayesian Inference for DOA Estimation Under Impulsive Noise and Nonuniform Noise

IEEE Transactions on Aerospace and Electronic Systems, 2023
Existing direction-of-arrival (DOA) estimation approaches are often only considering Gaussian noise or impulsive noise, leading to the performance degradation in the scenario that both noises exist simultaneously.
Kun Guo, Liang Zhang, Yingsong Li, Tian Zhou, Jingwei Yin   +4 more
semanticscholar   +1 more source

Robust Exponential Hyperbolic Sine Adaptive Filter for Impulsive Noise Environments

IEEE Transactions on Circuits and Systems - II - Express Briefs, 2022
In recent years, the hyperbolic family of adaptive algorithms have been widely used to combat impulsive noise. The novel exponential hyperbolic sine adaptive filters (EHSAF) and the normalized exponential hyperbolic sine adaptive filter (NEHSAF) suitable
R. S., F. Albu, A. Chandrasekar
semanticscholar   +1 more source

Message Passing-Based Impulsive Noise Mitigation and Channel Estimation for Underwater Acoustic OFDM Communications

IEEE Transactions on Vehicular Technology, 2022
The impulsive noise and the time-varying channel are two major detrimental factors which greatly constrain the performance of underwater acoustic communications (UACs). Utilizing the joint sparsity of the impulsive noise and the channel impulse response,
Xiao Feng, Junfeng Wang, Xiaoyan Kuai, Mingzhang Zhou, Haixin Sun, Jianghui Li   +5 more
semanticscholar   +1 more source

IAFNet: Few-Shot Learning for Modulation Recognition in Underwater Impulsive Noise

IEEE Communications Letters, 2022
Deep learning (DL)-based modulation recognition methods are challenging in the case of few labeled samples and underwater impulsive noise. In this letter, we propose a novel network structure named IAFNet to achieve higher recognition accuracy of ...
Haiwang Wang, Bing Wang, Yongbin Li
semanticscholar   +1 more source

Non-Circular Sources DOA Estimation for Coprime Array With Impulsive Noise: A Novel Augmented Phased Fractional Low-Order Moment

IEEE Transactions on Vehicular Technology, 2022
The coprime array has become an essential part of array signal processing, which can obtain a much higher degrees of freedom (DOFs) and larger aperture than that of the conventional approaches.
Xu-dong Dong, Xiaofei Zhang, Jun Zhao, Meng Sun   +3 more
semanticscholar   +1 more source

Modified particle filtering‐based robust estimation for a networked control system corrupted by impulsive noise

International Journal of Robust and Nonlinear Control, 2021
The non‐Gaussian characteristic of the impulsive noise significantly degrades the performance of the ℓ2 ‐norm‐based identification algorithms. To overcome the negative effects of impulsive noise to system identification, this article develops a modified ...
Xuehai Wang, F. Ding
semanticscholar   +1 more source