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Deep Learning-Aided Modulation Recognition for Non-Orthogonal Signals [PDF]
Sensors, 2023 Automatic Modulation Recognition (AMR) can obtain the modulation mode of the received signal for subsequent processing without the assistance of the transmitter. Although the existing AMR methods have been mature for the orthogonal signals, these methods
Jiaqi Fan +5 more
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Coexistence of Orthogonal and Non-orthogonal Multicarrier Signals in Beyond 5G Scenarios [PDF]
2020 2nd 6G Wireless Summit (6G SUMMIT), 2020 Optimum operation of future mobile communication systems requires more flexible signalling mechanisms for radio access. For flexible heterogeneous signalling implementation, this work discusses coexistence scenarios of orthogonal and nonorthogonal multicarrier signals, specifically considering orthogonal frequency division multiplexing (OFDM) and ...
Tongyang Xu, Izzat Darwazeh
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Orthogonal Harmonic Signals of the Generalized Class
Journal of Telecommunications and Information Technology, 2021 Telecommunications transmission technologies with OFDM rely on orthogonal harmonic signal (OHS) systems. The criteria applicable to synthesizing OHS systems of the generalized class, including both classical signals and signals whose duration exceeds ...
Vitaliy Balashov +3 more
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Linear anti-jamming algorithm design for multi-channel optical fiber communication. [PDF]
PLoS ONEThe multi-channel fiber optic communication network, crucial for long-distance digital signal transmission, faces linear interference from orthogonal frequency division multiplexing.
Haichao Yu
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Photonic Sensors, 2017 At present, advanced researches of optical fiber intrusion measurement are based on the constant false alarm rate (CFAR) algorithm. Although these conventional methods overcome the interference of non-stationary random signals, there are still a large ...
Fukun Bi +4 more
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Representation of Signals as Series of Orthogonal Functions [PDF]
EAS Publications Series, 2016 This paper gives an introduction to the theory of orthogonal projection of functions or signals. Several kinds of decomposition are explored: Fourier, Fourier-Legendre, Fourier-Bessel series for 1D signals, and Spherical Harmonic series for 2D signals. We show how physical conditions and/or geometry can guide the choice of the base of functions for the
E. Aristidi, Aristidi, E.
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A Channel Estimator via Non-Orthogonal Pilot Signals for Uplink Cellular IoT
IEEE Access, 2019 Simultaneous acquisition of channel state information (CSI) of many devices with high accuracy is crucial to provide the Internet-of-Things (IoT) connectivity in cellular networks.
Taehoon Kim, Seong Ho Chae
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Analysis of orthogonal signal of dual-mass micro-machined gyroscope [PDF]
MATEC Web of Conferences, 2022 The dual-mass Silicon micro-machined gyroscope was processed by micro-fabrication technology. It could lead to quadrature coupling error and influence the output of the silicon micro-gyroscope. We select two commonly used gyroscope structures and analyze
Wang Zhanghui +3 more
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Three‐phase algorithm for independent single‐phase grid frequency estimation under grid disturbances
IET Generation, Transmission & Distribution, 2023 This paper reports an algorithm for quick and precise estimation of the single‐phase grid frequency under DC offset and both odd and even harmonics. The proposed single‐phase grid frequency estimation method is derived from a three‐phase relation.
Md. Shamim Reza, Md. Maruf Hossain
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Orthogonal Signal Generation: An Analytical Approach
Circuits, Systems, and Signal Processing, 2023 Nowadays, many signal processing activities are related to the orthogonal properties of specific signals. However, only a few methods offer an analytical solution for generating orthogonal signals, especially when only one input to the generating system is available. These methods are often related to very specific applications and lack generalization.
Jean-Marc Girault +2 more
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