广东海洋大学-机构知识库机构智库

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Kendall's Tau-based Spectrum Sensing with CFAR Property for Vehicular Communications Under Impulsive Noise: 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, ...

Improved WEIghted Covariance-based Detector for Spectrum Sensing in RaylEIgh Fading Channel: IEEE WIRELESS COMMUNICATIONS LETTERSLai, Huadong Liu, Mingxing Xu, Jinqiang Luo, Peng Chen, Changrun Xu, Weichao 出版年：2024; 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...

Kendall's Tau based Spectrum Sensing for Cognitive Radio in the Presence of Laplace Noise: IEEE SIGNAL PROCESSING LETTERSHuang, Yongjian Lai, Huadong Dai, Jisheng Xu, Weichao 出版年：2024; 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 ...

GLRT-based Spectrum Sensing for Non-Circular Signals in Cognitive Radios With Multiple Antennas: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGYLai, Huadong Liu, Mingxing Xu, Jinqiang Luo, Peng Xu, Weichao 出版年：2025; 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...

LMPIT-based Spectrum Sensing for Non-Circular Signals in Multi-Antenna Cognitive Radios: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONSLai, Huadong Luo, Peng Liu, Mingxin Xu, Jinqiang 出版年：2025; 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 ...

Folding Convolutional Neural Network for Rotating Machinery Fault Diagnosis: IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICSLu, Tiantian Zhu, Hongbin Dai, Jisheng Lai, Huadong Xu, Weichao 出版年：2026; 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...

基于广义似然比的非圆信号频谱感知方法: 《电子科技大学学报》赖华东罗朋徐今强刘洺辛出版年：2025; 传统的频谱感知方案通常假设信号为圆信号,在非圆信号的信道环境下存在一定程度的性能损失。针对这一问题,提出了一种基于非圆信号的频谱感知方法。利用非圆信号的补偿协方差不为零的特征,在广义似然比的框架下推导了检验统计量。该方法...; 关键词：频谱感知非圆信号广义似然比埃奇沃斯展开 被引量：0

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