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arXiv 2023年

作者： Cheng, Xiang Zhang, Haotian Zhang, Jianan Gao, Shijian Li, Sijiang Huang, Ziwei Bai, Lu Yang, Zonghui Zheng, Xinhu Yang, Liuqing The State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing100871 China The Samsung Semiconductor Samsung SoC Research and Development Lab San DiegoCA92121 United States Shandong University Jinan250100 China Guangzhou510000 China Guangzhou510000 China The Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong

In the era of sixth-generation (6G) wireless communications, integrated sensing and communications (ISAC) is recognized as a promising solution to upgrade the physical system by endowing wireless communications with sensing capability. Existing ISAC is mainly oriented to static scenarios with radio-frequency (RF) sensors being the primary participants, thus lacking a comprehensive environment feature characterization and facing a severe performance bottleneck in dynamic environments. To date, extensive surveys on ISAC have been conducted but are limited to summarizing RF-based radar sensing. Currently, some research efforts have been devoted to exploring multi-modal sensing-communication integration but still lack a comprehensive review. To fill the gap, we embark on an initial endeavor with the goal of establishing a unified framework of intelligent multi-modal sensing-communication integration by generalizing the concept of ISAC and providing a comprehensive review under this framework. Inspired by the human synesthesia, the so-termed Synesthesia of Machines (SoM) gives the clearest cognition of such an intelligent integration and details its paradigm for the first time. We commence by justifying the necessity and potential of the new paradigm. Subsequently, we offer a rigorous definition of SoM and zoom into the detailed paradigm, which is summarized as three operational modes realizing the integration. To facilitate SoM research, we overview the prerequisite of SoM research, that is, mixed multi-modal (MMM) datasets, and introduce our work. Built upon the MMM datasets, we introduce the mapping relationships between multi-modal sensing and communications, and discuss how channel modeling can be customized to support the exploration of such relationships. Afterward, aiming at giving a comprehensive survey on the current research status of multi-modal sensing-communication integration, we cover the technological review on SoM-enhance-based and SoM-concert-based app

关键词： Beamforming

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Block-Wise Index Modulation and Receiver Design for High-Mobility OTFS communications

arXiv

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arXiv 2023年

作者： Qian, Mi Ji, Fei Ge, Yao Wen, Miaowen Cheng, Xiang Poor, H. Vincent The School of Electronic and Information Engineering South China University of Technology Guangzhou510641 China The Continental-NTU Corporate Lab Nanyang Technological University Singapore The State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronics School of Electronics Engineering and Computer Science Peking University Beijing100871 China The Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States

As a promising technique for high-mobility wireless communications, orthogonal time frequency space (OTFS) has been proved to enjoy excellent advantages with respect to traditional orthogonal frequency division multiplexing (OFDM). Although multiple studies have considered index modulation (IM) based OTFS (IM-OTFS) schemes to further improve system performance, a challenging and open problem is the development of effective IM schemes and efficient receivers for practical OTFS systems that must operate in the presence of channel delays and Doppler shifts. In this paper, we propose two novel block-wise IM schemes for OTFS systems, named delay-IM with OTFS (DeIM-OTFS) and Doppler-IM with OTFS (DoIM-OTFS), where a block of delay/Doppler resource bins are activated simultaneously. Based on a maximum likelihood (ML) detector, we analyze upper bounds on the average bit error rates for the proposed DeIM-OTFS and DoIM-OTFS schemes, and verify their performance advantages over the existing IM-OTFS systems. We also develop a multi-layer joint symbol and activation pattern detection (MLJSAPD) algorithm and a customized message passing detection (CMPD) algorithm for our proposed DeIM-OTFS and DoIM-OTFS systems with low complexity. Simulation results demonstrate that our proposed MLJSAPD and CMPD algorithms can achieve desired performance with robustness to the imperfect channel state information (CSI). © 2023, CC BY.

关键词： Message passing

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Phase Noise Compensation Method and Quantization Noise Effect Analysis for Distributed Fiber-Optic Acoustic Sensor

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Guangxue Xuebao/Acta Optica Sinica 2025年第9期45卷

作者： Li, Zhengwen Chen, Jiageng Xiao, Zhengyuan Ji, Jiazhen He, Zuyuan State Key Laboratory of Advanced Optical Communication Systems and Network Shanghai Jiao Tong University Shanghai200240 China

Objective Distributed fiber-optic acoustic sensing (DAS) is an effective technique for measuring dynamic strain along the optical fiber, using Rayleigh backscattering (RBS) as the sensing mechanism. DAS offers high spatial resolution, excellent sensitivity, and strong immunity to electromagnetic interference, making it suitable for applications such as traffic monitoring, seismic detection, and pipeline surveillance. However, its performance is significantly affected by the phase noise of the light source and the quantization noise introduced by the data acquisition system. In this paper, we propose a novel phase noise compensation method tailored for coherent detection and matched filtering-based φ-OTDR systems. We also investigate the influence of quantization noise on strain resolution, aiming to enhance performance while reducing hardware cost. Methods In this paper, we introduce a phase noise compensation method into a conventional φ-OTDR system based on coherent detection and matched filtering to enhance its performance. An auxiliary interferometer is employed to reconstruct the real-time phase of the light source. This reconstructed phase is then applied to compensate for phase noise in both the received signal and the matched filter kernel, thus improving the accuracy of pulse compression and the system’s strain measurement capabilities. A communication-grade semiconductor laser with a 100 kHz linewidth is used in the experimental setup. The strain and spatial resolutions are evaluated over an 84 km single-mode optical fiber, both with and without phase noise compensation. To assess the influence of quantization noise, the analog-to-digital (ADC) bit depth of the data acquisition system is varied from 16 bit down to 2 bit. Results and Discussions With phase noise compensation, the system achieves a strain resolution of 51 pΕ Hz and a spatial resolution of 6.5 m at the end of an 84 km single-mode fiber using a 100 kHz linewidth laser. These results confirm th

关键词： Quantization (signal)

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Quantum support vector machines for aerodynamic classification

arXiv

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arXiv 2022年

作者： Yuan, Xi-Jun Chen, Zi-Qiao Liu, Yu-Dan Xie, Zhe Jin, Xian-Min Liu, Ying-Zheng Wen, Xin Tang, Hao School of Physics and Astronomy State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai200240 China School of Mechanical Engineering Key Lab of Education Ministry for Power Machinery and Engineering Gas Turbine Research Institute Shanghai Jiao Tong University Shanghai200240 China TuringQ Co. Ltd. Shanghai100190 China

Aerodynamics plays an important role in aviation industry and aircraft design. Detecting and minimizing the phenomenon of flow separation from scattered pressure data on airfoil is critical for ensuring stable and efficient aviation. However, since it is challenging to understand the mechanics of flow field separation, the aerodynamic parameters are emphasized for the identification and control of flow separation. It has been investigated extensively using traditional algorithms and machine learning methods such as the support vector machine (SVM) models. Recently, a growing interest in quantum computing and its applications among wide research communities sheds light upon the use of quantum techniques to solve aerodynamic problems. In this paper, we apply qSVM, a quantum SVM algorithm based on the quantum annealing model, to identify whether there is flow separation, with their performance in comparison to the widely-used classical SVM. We show that our approach outperforms the classical SVM with an 11.1% increase of the accuracy, from 0.818 to 0.909, for this binary classification task. We further develop multi-class qSVMs based on one-against-all algorithm. We apply it to classify multiple types of the attack angles to the wings, where the advantage over the classical multi-class counterpart is maintained with an accuracy increased from 0.67 to 0.79, by 17.9%. Our work demonstrates a useful quantum technique for classifying flow separation scenarios, and may promote rich investigations for quantum computing applications in fluid dynamics. © 2022, CC BY-NC-ND.

关键词： Support vector machines

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Anomaly detection of time series with smoothness-inducing sequential variational auto-encoder

arXiv

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arXiv 2021年

作者： Li, Longyuan Yan, Junchi Wang, Haiyang Jin, Yaohui State Key Lab of Advanced Optical Communication System and Network MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University Shanghai200240 China Department of Computer Science and Engineering MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University Shanghai200240 China

Deep generative models have demonstrated their effectiveness in learning latent representation and modeling complex dependencies of time series. In this paper, we present a Smoothness-Inducing Sequential Variational Auto-Encoder (SISVAE) model for robust estimation and anomaly detection of multi-dimensional time series. Our model is based on Variational Auto-Encoder (VAE), and its backbone is fulfilled by a Recurrent Neural network to capture latent temporal structures of time series for both generative model and inference model. Specifically, our model parameterizes mean and variance for each time-stamp with flexible neural networks, resulting in a non-stationary model that can work without the assumption of constant noise as commonly made by existing Markov models. However, such a flexibility may cause the model fragile to anomalies. To achieve robust density estimation which can also benefit detection tasks, we propose a smoothness-inducing prior over possible estimations. The proposed prior works as a regularizer that places penalty at non-smooth reconstructions. Our model is learned efficiently with a novel stochastic gradient variational Bayes estimator. In particular, we study two decision criteria for anomaly detection: reconstruction probability and reconstruction error. We show the effectiveness of our model on both synthetic datasets and public real-world benchmarks. © 2021, CC BY.

关键词： Recurrent neural networks

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Distortion-aware 2D soft decision for VCSEL-MMF optical PAM interconnection

Distortion-aware 2D soft decision for VCSEL-MMF optical PAM ...

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optical Fiber communication Conference, OFC 2020

作者： Sun, Lin Du, Jiangbing Zhang, Wenjia Chi, Nan Lu, Chao He, Zuyuan State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai200240 China Department of Electronic and Information Engineering Photonics Research Centre Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong Department of Communication Science and Engineering State Key Lab of ASIC and System Fudan University Shanghai200433 China

A distortion-aware 2D soft decision method of PAM signals have been proposed for VCSEL-MMF interconnection system. Improvements and application potential have been experimentally investigated on a 112-Gbps optical PAM... 详细信息

ISBN: (数字)9781943580712

ISBN: (纸本)9781943580712

关键词： optical fiber communication

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Carrier-recovery-free KK detection for PDM-bipolar-PAM in 100 Gb/s simplified coherent PON

Carrier-recovery-free KK detection for PDM-bipolar-PAM in 10...

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optical Fiber communication (OFC) Conference

作者： Haiyun Xin Xiaoling Zhang Deming Kong Shi Jia Weisheng Hu Hao Hu DTU Fotonik Technical University of Denmark Kgs. Lyngby Denmark State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai China Key Lab. of Optical Fiber Sensing and Communications University of Electronic Science and Technology of China Chengdu China

We propose and demonstrate, for the first time, carrier-recovery-free KK detection for a PDM-bipolar-PAM signal in simplified coherent TDM-PON. 32 dB power budget is achieved for the 100-Gbps signal after 25km downstr... 详细信息

ISBN: (纸本)9781943580866

关键词： Receivers optical distortion Coherence Distortion optical fiber communication

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Deterministic bulk-boundary correspondences for skin and edge modes in a general two-band non-Hermitian system

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Physical Review Research 2022年第4期4卷 043222-043222页

作者： Chong Hou Lingfang Li Shihua Chen Yi Liu Luqi Yuan Yiqi Zhang Zhenhua Ni School of Physics and Frontiers Science Center for Mobile Information Communication and Security Southeast University Nanjing 211189 China Purple Mountain Laboratories Nanjing 211111 China Shanghai Key Lab of Modern Optical System University of Shanghai for Science and Technology Shanghai 200093 China CAS Center for Excellence in Ultra-Intense Laser Science Shanghai 201800 China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Physics and Astronomy Shanghai Jiao Tong University Shanghai 200240 China Key Laboratory for Physical Electronics and Devices of the Ministry of Education & Shaanxi Key Lab of Information Photonic Technique School of Electronic Science and Engineering Faculty of Electronic and Information Engineering Xi'an Jiaotong University Xi'an 710049 China

In isolated Hermitian systems, the bulk-boundary correspondence is generally thought of as a compelling principle guiding the occurrence of robust edge states through the topological invariants of the bulk. However, in open non-Hermitian systems that support non-Hermitian skin effects, the universality of the bulk-boundary correspondence has so far remained disputable in spite of being subjected to intensive studies. Here we provide analytical and numerical evidence of bulk-boundary correspondences for both skin and edge modes in 1D two-band non-Hermitian systems within the framework of a prototypical non-Hermitian Su-Schrieffer-Heeger model. Two different topological winding numbers, one on a Brillouin zone and the other on a generalized Brillouin zone, are defined to fully characterize the topological phases of matter and to understand such deterministic correspondences. In addition to the exact solutions for bulk states, we also obtain explicit solution forms for edge modes along with analytical conditions for their existence and localization, all exhibiting remarkable agreement with numerical results. Our results solve the elusive non-Hermitian topology and may facilitate experimental investigations of bulk-boundary correspondence in a wide range of non-Hermitian systems.

关键词： Edge states Skin effect Topological phases of matter Non-Hermitean systems Topological materials

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Satellite Backbone Ring network with $\Omega$-topology based on Sparse Configuration Arrayed Waveguide Grating

Satellite Backbone Ring Network with $\Omega$-topology based...

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Asia communications and Photonics Conference and Exhibition (ACP)

作者： Yang Li Yixiao Zhu Longsheng Li Zidong Guo Weisheng Hu State Key Laboratory of Advanced Optical Communication Systems and Network School of Electronic Information and Electrical Engineering Shanghai Jiaotong University Shanghai China

ISBN: (数字)9781943580828

ISBN: (纸本)9781728176567

关键词： Satellites Asia Waveguide lasers optical fiber networks Arrayed waveguide gratings Photonics optical arrays

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Frequency-Aware Physics-Inspired Degradation Model for Real-World Image Super-Resolution

arXiv

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arXiv 2021年

作者： Dong, Zhenxing Cao, Hong Shen, Wang Gan, Yu Ling, Yuye Zhai, Guangtao Su, Yikai John Hopcroft Center for Computer Science Shanghai Jiao Tong University China Institute of Image Communication and Network Engineering Shanghai Jiao Tong University China Department of Electrical and Computer Engineering University of Alabama TuscaloosaAL35401 United States State Key Lab of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University China

Current learning-based single image super-resolution (SISR) algorithms underperform on real data due to the deviation in the assumed degradation process from that in the real-world scenario. Conventional degradation processes consider applying blur, noise, and downsampling (typically bicubic downsampling) on high-resolution (HR) images to synthesize low-resolution (LR) counterparts. However, few works on degradation modelling have taken the physical aspects of the optical imaging system into consideration. In this paper, we analyze the imaging system optically and exploit the characteristics of the real-world LR-HR pairs in the spatial frequency domain. We formulate a real-world physics-inspired degradation model by considering both optics and sensor degradation;The physical degradation of an imaging system is modelled as a low-pass filter, whose cut-off frequency is dictated by the object distance, the focal length of the lens, and the pixel size of the image sensor. In particular, we propose to use a convolutional neural network (CNN) to learn the cutoff frequency of real-world degradation process. The learned network is then applied to synthesize LR images from unpaired HR images. The synthetic HR-LR image pairs are later used to train an SISR network. We evaluate the effectiveness and generalization capability of the proposed degradation model on real-world images captured by different imaging systems. Experimental results showcase that the SISR network trained by using our synthetic data performs favorably against the network using the traditional degradation model. Moreover, our results are comparable to that obtained by the same network trained by using real-world LR-HR pairs, which are challenging to obtain in real scenes. © 2021, CC BY.

关键词： Cutoff frequency

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