This paper has proposed an experimental system for non-orthogonal multiple access(NOMA)wireless optical communication in challenging underwater turbulent environments,employing the gallium nitride(GaN)-based micro-LED...
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This paper has proposed an experimental system for non-orthogonal multiple access(NOMA)wireless optical communication in challenging underwater turbulent environments,employing the gallium nitride(GaN)-based micro-LED *** design of the GaN-based micro-LED array enables the independent transmission of signals from distinct data streams within the NOMA framework,facilitating direct optical power-domain superposition of NOMA *** experimental setup involves emulating oceanic turbulence channels,characterized by varying the level of scintillation intensity,to thoroughly investigate the bit error rate(BER)*** outcomes unequivocally demonstrate the superiority of our proposed NOMA scheme,as compared to conventional circuit-driven optical NOMA systems utilizing fixed LED array grouping,particularly in the presence of turbulent underwater *** proposed NOMA scheme exhibits consistently superior BER performance and maintains excellent linearity at the lower frequencies while effectively mitigating signal distortion at the higher frequencies.
In this paper, the dynamic-programming track-before-detect (DP-TBD) algorithm is used to achieve weak target detection and high-precision angle estimation in four dimensions (4D) millimeter wave radar systems. Typical...
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With the rapid development of 6G wireless communication and edge computing in recent years, mobile devices and terminals have collected vast amounts of data to train Machine Learning (ML) models. Since communication a...
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In this paper, the problem of joint target detection and localization in Dual-Function Radar-communication (DFRC) systems is studied. A communication-assisted sensing mechanism is designed to fully utilize spectrum re...
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With the development of network technology, video applications have surged, necessitating timely review and supervision of the vast amount of uploaded data. Action recognition in videos, a key AI research area, has ad...
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This paper presents a naive Bayesian recognition and classification method based on extended Kalman filter, designed for multi-target tracking scenarios using multiple radars. The approach employs covariance intersect...
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Due to the irregularity and disorder of point clouds, point cloud analysis based on deep learning remains a challenging task. Although the previous point cloud analysis networks based on multi-layer perceptions (MLPs)...
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This paper focuses on the problem of H∞ output tracking control for linear discrete-time systems with external disturbances. Two cases in which the disturbance is known and unknown are discussed. The matrix S-lemma i...
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With the rapid development of the Internet of Things(Io T),the amount of data from intelligent devices is propagating at unprecedented scales. Meanwhile, machine learning(ML),which relies heavily on such data, is revo...
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With the rapid development of the Internet of Things(Io T),the amount of data from intelligent devices is propagating at unprecedented scales. Meanwhile, machine learning(ML),which relies heavily on such data, is revolutionizing many aspects of our lives [1]. However, conventional centralized ML offers little scalability for efficiently processing this huge amount of data.
To address reduced robustness and accuracy in signal detection models for wireless channels in complex mining environments during online deployment, we explored the Conditional Adaptive Detection Network (CADN). Lever...
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