IEEE Transactions on Vehicular TechnologyMou, Jie Yang, Yibang Lai, Huadong Dai, Jisheng Zhou, Yanzhou Xu, Weichao 出版年：2026
Reliable spectrum sensing is crucial for vehicular communication systems, where safe and efficient spectrum access must be ensured despite the presence of strong impulsive noise from ignitions, electronic control units, ...
IEEE Internet of Things JournalMou, Jie Yang, Yibang Lai, Huadong Dai, Jisheng Xu, Weichao 出版年：2026
Achieving high detection efficiency in Gaussian environments while maintaining robustness against non-Gaussian outliers presents a trade-off in spectrum sensing for cognitive radio-enabled Internet of Things (CR-IoT) net...
In this letter, we propose an improved weighted covariance based detector (IWCD) for spatially correlated time-varying Rayleigh fading channel. The proposed method uses adaptive weights that are tailored to the dynamic n...
In the presence of non-Gaussian noise, traditional spectrum sensing techniques optimized for Gaussian noise may experience significant performance degradation. To address this challenge, this paper employs Kendall's tau ...
Traditional spectrum sensing schemes devised under the presumption of circular signals may suffer from performance deterioration when non-circular (NC) signals are present. To circumvent this drawback, this paper devises...
This paper addresses a robust spectrum sensing scheme for non-circular (NC) primary signals within the framework of locally most power invariant test (LMPIT). The proposed method is referred as the NCJT detector because ...
One-dimensional convolutional neural network (1D-CNN)-based methods are widely used in fault diagnosis for rotating machinery. However, traditional 1D-CNN-based approaches are limited by the fixed receptive field of thei...
In cognitive radio spectrum sensing, the conventional additive white Gaussian noise assumption is often invalid due to impulsive behavior and temporal correlation in wireless noise. This letter models the noise as Bernou...
In spectrum sensing, conventional detectors suffer severe performance degradation under impulsive noise, whereas existing robust detectors often compromise detection efficacy in pure Gaussian environments. To address thi...
In the presence of non-Gaussian noise, traditional spectrum sensing techniques optimized for Gaussian noise environments often suffer significant performance degradation. This article proposes a Kendall's Tau (KT)-based ...
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGYHuadong, Lai Cong, Lin Peng, Luo Jinqiang, Xu Mingxin, Liu Weichao, Xu 出版年：2026
Objective With the rapid growth of wireless devices and communication services, spectrum resources have become increasingly scarce. Spectrum sensing, as a fundamental function of cognitive radio, enables dynamic spectrum...
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