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Controlling auto-focusing chirped perfect Laguerre-Gaussian beam to mitigate crosstalk in atmospheric turbulence

Optical and Quantum Electronics 2025年第4期57卷 1-11页

作者： Ma, Yangbin Wang, Xinguang Shen, Yangbo Zhao, Ben Wang, Le Zhao, Shengmei College of Science Nanjing University of Posts and Telecommunications Wenyuan Road Jiangsu Nanjing210023 China Jiangsu Engineering Research Center of Communication and Network Technology Nanjing University of Posts and Telecommunications Wenyuan Road Jiangsu Nanjing210023 China Portland Institute Nanjing University of Posts and Telecommunications Wenyuan Road Jiangsu Nanjing210023 China School of Communications and Information Engineering Nanjing University of Posts and Telecommunications Wenyuan Road Jiangsu Nanjing210023 China Institute of Signal Processing and Transmission Nanjing University of Posts and Telecommunications New model road Jiangsu Nanjing210003 China Nanjing University of Posts and Telecommunications New model road Jiangsu Nanjing210003 China National Laboratory of Solid State Microstructures Nanjing University Hankou Road Jiangsu Nanjing210093 China

Auto-focusing beams can effectively mitigate orbital angular momentum (OAM) crosstalk in atmospheric turbulence. In this paper, we focus on the effect of the chirp factor on the crosstalk mitigation of chirped perfect Laguerre-Gaussian beam (CPLGB) based on the propagation model of CPLGB. The results demonstrate that a positive first-order chirp factor can significantly promote the auto-focusing of CPLGB, and increasing it can effectively mitigate the intermodal crosstalk of OAM modes in atmospheric turbulence, whereas a positive second-order chirp factor has a relatively weak effect on them. By comparing with Bessel Gaussian beam, perfect Laguerre-Gaussian beam, and perfect optical vortex beam, the CPLGB shows superior turbulence resistance when transmitted in atmospheric turbulence. Our results will be useful for optimizing the performance of free-space optical (FSO) communication systems with CPLGBs. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2025.

关键词： Gaussian beams

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Improved State Machine Strategy Based on Consumption Minimization for Fuel Cell/Battery/Ultracapacitor Hybrid Electric Vehicles

Improved State Machine Strategy Based on Consumption Minimiz...

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第33届中国控制与决策会议

作者： Congcong Wang Haoping Wang Yang Tian Sino-French International Joint Laboratory of Automatic Control and Signal Processing Automation SchoolNanjing University of Science and Technology

In this paper,an improved state machine control strategy based on equivalent consumption minimization for fuel cell/battery/ultra-capacitor hybrid electric vehicles is *** combining with an improved state machine control strategy,the power of the three power sources(fuel cell,battery and ultracapacitor) is reasonably allocated to improve the performance of the equivalent consumption minimization strategy(ECMS).In addition,the current is tracked by the non-singular terminal sliding mode controller(NTSMC) to obtain accurate *** proposed method can effectively reduce the fuel consumption of the system and improve the fuel cell *** fuel cell hybrid vehicle is modeled in MATLAB/*** simulation results show that compared with the state machine and equivalent consumption minimization strategy,this method can effectively reduce hydrogen consumption and reduce the consumption cost of fuel cell hybrid electric vehicles.

关键词： Improved State Machine Fuel Cell/Battery/Ultra-capacitor Equivalent Consumption Minimization Strategy Non-singular Terminal Sliding Mode Controller Hydrogen Consumption

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Analysis of the jamming method for high frequency M-dimensional orthogonal modulated signals 19

Analysis of the jamming method for high frequency M-dimensio...

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2019 International Conference on Artificial Intelligence, Information processing and Cloud Computing, AIIPCC 2019

作者： Zhu, Shaozheng Xin, Jirong Luo, Wuzhong Tang, Wenqi National Key Lab of Science and Technology on Blind Signal Processing Chengdu Sichuan China

ISBN: (纸本)9781450376334

In order to disturb the M-dimensional orthogonal modulated signal effectively, the link layer coding in M-dimensional orthogonal modulated signal is studied. A Walsh-coding jamming signal is proposed to jam M-dimensional orthogonal modulated signals with Walsh modulation. The simulation results show that the interference signal with the same parameters of the target M-dimensional modulation signal performs best. © 2019 Association for Computing Machinery.

关键词： Jamming

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Thin filament pyrometry to measure the butane air flame combustion flame 8

Thin filament pyrometry to measure the butane air flame comb...

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Optoelectronic Imaging and Multimedia technology VIII 2021

作者： Sun, Haoliang Hao, Xiaojian Wang, Jia Tai, Bin Zhao, Yangcan Science and Technology on Electronic Test and Measurement Laboratory North University of China Taiyuan Shanxi Province030051 China School of Instrument and Electronics North University of China Shanxi Taiyuan030051 China Shanxi Key Laboratory of Signal Capturing and Processing North University of China Shanxi Taiyuan030051 China

ISBN: (数字)9781510646445

ISBN: (纸本)9781510646438

In this paper, the temperature of butane flame is measured by Thin Filament Pyrometer(TFP). The luminous length of butane flame is about 80mm. The high temperature resistant material tungsten-rhenium wire is placed into the flame, the diameter of tungsten-rhenium wire is 0.1mm, 0.25mm, 0.5mm.A scientific sCMOS camera calibrated by emissivity calibration experiment was used to measure the radiance of tungsten-rhenium filament, and Planck's blackbody radiation law was used to calculate the temperature of the filament., so as to get the temperature of the butane flame. The results show that the highest temperature of the butane flame measured by the filament pyrometer is *** armored K-type thermocouple is used to verify the experimental accuracy, and the measurement error between the calculated value and the standard value is less than 5%. The experimental results of butane combustion show that this method can be applied to similar temperature measurement. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Pyrometers

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Vector Approximate Message Passing based Channel Estimation for MIMO-OFDM Underwater Acoustic Communications

arXiv

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arXiv 2022年

作者： Chen, Wenxuan Tao, Jun Ma, Lu Qiao, Gang The Key Laboratory of Underwater Acoustic Signal Processing The Ministry of Education School of Information Science and Engineering Southeast University Nanjing210096 China The Acoustic Science and Technology Laboratory The Key Laboratory of Marine Information Acquisition and Security Ministry of Industry and Information Technology The College of Underwater Acoustic Engineering Harbin Engineering University Harbin150001 China

Accurate channel estimation is critical to the performance of orthogonal frequency-division multiplexing (OFDM) underwater acoustic (UWA) communications, especially under multiple-input multiple-output (MIMO) scenarios. In this paper, we explore Vector Approximate Message Passing (VAMP) coupled with Expected Maximum (EM) to obtain channel estimation (CE) for MIMO OFDM UWA communications. The EM-VAMP-CE scheme is developed by employing a Bernoulli-Gaussian (BG) prior distribution for the channel impulse response, and hyperparameters of the BG prior distribution are learned via the EM algorithm. Performance of the EM-VAMP-CE is evaluated through both synthesized data and real data collected in two at-sea UWA communication experiments. It is shown the EM-VAMP-CE achieves better performance-complexity tradeoff compared with existing channel estimation methods. Copyright © 2022, The Authors. All rights reserved.

关键词： Orthogonal frequency division multiplexing

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Exploration of Data Scene Characterization and 3D ROC Evaluation for Hyperspectral Anomaly Detection

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Remote Sensing 2024年第1期16卷

作者： Chang, Chein-I Chen, Shuhan Zhong, Shengwei Shi, Yidan Information and Technology College Dalian Maritime University Dalian116026 China Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland BaltimoreMD21250 United States Department of Electrical Engineering National Cheng Kung University Tainan70101 Taiwan Department of Electrical Engineering Zhejiang University Hangzhou310027 China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China

Whether or not a hyperspectral anomaly detector is effective is determined by two crucial issues, anomaly detectability and background suppressibility (BS), both of which are very closely related to two factors, the datasets used for a selected hyperspectral anomaly detector and detection measures used for its performance evaluation. This paper explores how anomaly detectability and BS play key roles in hyperspectral anomaly detection (HAD). To address these two issues, we investigate three key elements attributed to HAD. One is a selected hyperspectral anomaly detector, and another is the datasets used for experiments. The third one is the detection measures used to evaluate the effectiveness of a hyperspectral anomaly detector. As for hyperspectral anomaly detectors, twelve commonly used anomaly detectors were evaluated and compared. To address the appropriate use of datasets for HAD, seven popular and widely used datasets were studied for HAD. As for the third issue, the traditional area under a receiver operating characteristic (ROC) curve of detection probability—PD versus false alarm probability, PF, (AUC(D,F))—was extended to 3D ROC analysis where a 3D ROC curve was developed to generate three 2D ROC curves from which eight detection measures could be derived to evaluate HAD in all round aspects, including anomaly detectability, BS and joint anomaly detectability and BS. Qualitative analysis showed that many works reported in the literature which claimed that their developed hyperspectral anomaly detectors performed better than other anomaly detectors are actually not true because they overlooked these two issues. Specifically, a comprehensive study via extensive experiments demonstrated that these 3D ROC curve-derived detection measures can be further used to address the various characterizations of different data scenes and also to provide explanations as to why certain data scenes are not suitable for HAD. © 2023 by the authors.

关键词： Curve fitting

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No-Reference Image Quality Assessment Based on Active Reasoning Module

No-Reference Image Quality Assessment Based on Active Reason...

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IEEE International Conference on Electronic Information and Communication technology (ICEICT)

作者： Junwei Qi Yuhao Deng Qingchun Wang Zhen Yang Yingsong Li College of Information and Communication Engineering Harbin Engineering University Harbin China College of Computer Science and Technology Harbin Engineering University Harbin China Shanghai Yanding Information Technology Co. Ltd. Shanghai China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University China

We present a no-reference image-quality - assessment algorithm based on active reasoning module. This algorithm has three modules: the feature extraction module, the active reasoning module, and the quality assessment module. The active reasoning module incorporates the generator component of the generative adversarial network and enhances its structure with the Res2Net architecture. By integrating this module into the backbone feature extraction network, we improve the receptive field of each convolutional layer, enabling the network to capture information at different scales of the image. To preserve the texture information of the image, we input the gradient map of the distorted image, the distorted image itself, and the image features generated by the generator into the quality assessment module, which has a multi-feature regression networks. This module establishes a mapping model from image-feature to image-quality scores. We conducted experimental analysis of this algorithm on three widely used public datasets, confirming the excellent performance and superiorities of the presented algorithm. The results validate the effectiveness of the designed algorithm and its ability to assess image quality accurately.

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Research on Automatic Decoding of Morse Code Based on Deep Learning

Research on Automatic Decoding of Morse Code Based on Deep L...

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2019 International Conference on Intelligent Computing, Automation and Systems, ICICAS 2019

作者： Li, Weihao Wang, Keren Information Engineering University Zhengzhou China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China

ISBN: (纸本)9781728161068

The current automatic decoding method of the Morse telegram has limited accuracy, and can't adapt to signal distortion and code length deviation of the manual telegram. This paper introduces the deep learning method and constructs an automatic decoding model, which integrates feature extraction, sequence modeling and transcription into an end-to-end training neural network. The time-frequency diagrams of signals are used for training and testing. Experimental results show that the decoding system has strong adaptability to manual deviation and frequency drift, and is robust in a noisy environment. © 2019 IEEE.

关键词： Decoding

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A Long Synthetic Aperture Passive Localization Method Using Two Planes

A Long Synthetic Aperture Passive Localization Method Using ...

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IEEE International Conference on Radar

作者： Bowei Chen Yuqi Wang Guang-Cai Sun Mengdao Xing Zijing Zhang Xiaoniu Yang National Laboratory of Radar Signal Processing Xidian University Xi'an China Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9781665468893

A long synthetic aperture passive localization algorithm is proposed in this paper. First of all, the Doppler change rate of signal can be measured by the image contrast and then, grid points are divided within the maximum possible latitude and longitude of the emitter location, the Doppler change rate at each grid point can be calculated by using known position and velocity of the receiver. The grid points at which the calculated Doppler change rate is equal to the value measured by the received signal form an isoline. Two receivers can draw two isolines on the ground and the intersection of the isolines gives estimate of the emitter location.

关键词： Location awareness Passive radar Chirp Estimation Receivers Apertures Position measurement

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Tablet Identification Using Ensemble Convolutional Neural Networks and Vibrational Spectroscopy

SSRN

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SSRN 2023年

作者： Sun, Penghui Wang, Jiajia Liu, Pei Dong, Zhilin School of Computer Science and Technology Xinjiang University Urumqi China The Key Laboratory of Signal Detection and Processing Xinjiang Uygur Autonomous Region Xinjiang University China Post-doctoral workstation of Xinjiang Xinjiang Uygur Autonomous Region Product Quality Supervision and Inspection Institute Urumqi China

Vibrational spectroscopy reflects molecular vibrational data, facilitating tablet identification. This paper introduces the DCNN-EL model, which integrates vibrational spectroscopy to accurately discern tablet categories. The DCNN-EL model is built upon the Alexnet framework, starting with the proposal of the Alexnet-BN model, enhancing model training speed and robustness by iteratively applying the BN layer in lieu of the pooling layer. Subsequently, by adjusting the parameters of Alexnet-BN, five deep convolutional neural network (DCNN) models are established and combined using an integrated machine learning approach to form the DCNN-EL model. Evaluating the DCNN-EL model with two public datasets (Tablets_Nir and Tablets_Raman) demonstrates its 100% and 91.67% accuracy, affirming its efficacy and generalizability in tablet identification. Consequently, the amalgamation of convolutional neural networks and vibrational spectroscopy bears significant practical relevance in the qualitative detection of tablets. © 2023, The Authors. All rights reserved.

关键词： Convolution

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