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2025 systems of Signals Generating and processing in the Field of on Board Communications, SOSG 2025

作者： Malygin, Ivan Lukinukh, Ilya Korotkova, Elena Loginovskikh, Vitaliy Lyubin, Maxim Institute of Radioelectronics and Informational Technologies Ural Federal University Yekaterinburg Russia

ISBN: (纸本)9798331532635

The continuous increase in operating frequencies in information processing and transmission systems, as well as the development and improvement of the element base for the implementation of such systems, naturally led to the emergence of photonics as a direction using optical signals where electrical signals were traditionally used. At the same time, the emergence of new technologies and devices is associated with their high cost, which limits their distribution and implementation in modern technological processes. At this article offered to your attention is devoted to the development and study of a very simple passive optical logic element' AND', which can be used in the design of photonic integrated circuits or in the construction of optical computing devices for various purposes. © 2025 IEEE.

关键词： Photonic integrated circuits

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Lightweight Symmetric Key Exchange Protocols for Enhanced Security in Elastic optical Fiber Communication 3rd

Lightweight Symmetric Key Exchange Protocols for Enhanced Se...

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3rd International conference on Network Security and Blockchain Technology

作者： Amin, Ruhul DR SPM IIIT Naya Raipur Dept Comp Sci & Engn Chhattisgarh India

ISBN: (纸本)9789819780501;9789819780518

Modern communication networks rely on optical fiber networks to transmit various sensitive information among different organizations. With the evolution of fifth-generation telecom technologies, such as intelligent hyper-connected networks, the concentration of all transmission information on optical communication networks has become prevalent. Consequently, ensuring the security of optical transmission devices has become paramount. Establishing secure communication between optical access network nodes presents a significant challenge due to reported instances of hacking into optical cables, rendering the optical communication medium vulnerable to eavesdropping. Therefore, there is a pressing need for complementary security measures. This paper proposes a lightweight yet effective secure key distribution strategy to enhance the network security of optical communication. The proposed Key Exchange (KE) protocols, focusing on symmetric key sharing (SKS) and Secure Key Update (SKU), are subjected to Scyther-based security simulations to demonstrate their security. Additionally, an informal security analysis is provided to showcase the resilience of the SKS and SKU algorithms against various security attacks. Computational benchmarks show that both algorithms require fewer computational, communication, and storage resources during the key generation phase compared to related authentication protocols.

关键词： Cryptography optical fiber communication Key Exchange (KE) Symmetric encryption key Random Key Generation (RKG)

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Research on SMA motor modelling and control algorithm for optical image stabilization

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MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOsystems-information STORAGE AND processing systems 2025年第6期31卷 1381-1400页

作者： Li, Chen Qu, Yingmin Song, Zhengxun Liu, Xinliang Liu, Weiwen Changchun Univ Sci & Technol Int Res Ctr Nano Handling & Mfg China Changchun 130022 Jilin Peoples R China Changchun Univ Sci & Technol Zhongshan Inst Zhongshan 528437 Guangdong Peoples R China Changchun Univ Sci & Technol Sch Elect & Informat Engn Changchun 130022 Jilin Peoples R China

Cameras play an increasingly important role in mobile devices and intelligent systems. With the development of technology, the resolution of the camera continues to improve and the images become much clearer. However, image quality is easily affected by lens shake. optical stabilization technology improves the shooting stability as well as image quality of mobile devices by overcoming image blur which is caused by lens shake. In the current camera modules of smart devices, the voice coil motor (VCM) drives the lens movement. However, the traditional VCMs contain permanent magnets, thus generating stray magnetic fields and affecting the quality of captured images. Compared with VCM technology, shape memory alloy (SMA) motors driven by shape memory alloys have the advantages, such as lighter weight, higher accuracy, greater thrust, and lower energy consumption. But there are still some issues with the current SMA motors. To begin with, there is a control problem of SMA wire, and the current control algorithms are difficult to achieve high-precision control of SMA wire. What's more, the strain range of SMA wires used in current SMA motors is limited, so their application in certain fields are restricted. A SMA motor with a larger shrinkage of SMA wire was designed, which could be used in larger lenses and whose application range was extended. Given the hysteresis effect of SMA, a Hammerstein-like model was established to describe the dynamic hysteresis characteristics of SMA. The Prandtl Ishlinskii model was used to describe the static hysteresis model of SMA, and the Nonlinear AutoRegressive network with eXogenous inputs (NARX) model was used to describe the dynamic model of SMA and predict its properties. A composite control scheme based on inverse compensation was designed to eliminate the dynamic hysteresis phenomenon of SMA, using the PI inverse model as the feed-forward controller and BP-FOPID as the feedback controller. In a gesture to address the problem of mul

关键词： Permanent magnets

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Frequency-domain diffusion adaptation with quantized communication 16

Frequency-domain diffusion adaptation with quantized communi...

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16th International conference on Signal processing systems, ICSPS 2024

作者： Peng, Yishu Zhang, Sheng Zhou, Zhengchun Han, Hongyu School of Information Science and Technology Southwest Jiaotong University Chengdu China School of Computer Science Sichuan Normal University Chengdu China

ISBN: (纸本)9781510689251

In energy- and bandwidth-limited networks, frequency-domain diffusion algorithms based on periodic communication are attractive candidates because of their low computational complexity and communication overhead. Nevertheless, these algorithms assume that intermediate estimates are transmitted exactly in each communication round, which is not realistic in practice. To this end, this paper proposes novel frequency-domain diffusion algorithms with quantized communication. Using the randomized quantizer to compress the shared information, we first develop the quantized frequency-domain diffusion least mean square (Q-FDLMS) algorithm. To mitigate the performance degradation incurred by quantization errors, the improved Q-FDLMS (IQ-FDLMS) algorithm is also designed. This enhanced version modifies the combination step and incorporates the moving-average scheme. Additionally, the mean-square stability conditions and steady-state error bound of the IQ-FDLMS algorithm are derived. Experiment results indicate that our proposed algorithms are superior to other competing algorithms. © 2025 SPIE.

关键词： Frequency domain analysis

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Spatial and Temporal Evolution of Wetlands in the Yellow River Delta Based on optical Flow Algorithm

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JOURNAL OF information processing systems 2025年第1期21卷 102-113页

作者： Liu, Chao Mu, Ruolan Wang, Chuanlong Yuan, Xiuhe Miao, Sheng Qingdao Univ Technol Sch Environm & Municipal Engn Qingdao Peoples R China Qingdao Univ Technol Sch Informat & Control Engn Qingdao Peoples R China

The Yellow River Delta (YRD) wetlands are the largest coastal wetlands in China, and it serves to control soil erosion, nourish the climate and protect biodiversity. At present, due to climate change and human activities, the wetlands of the YRD are facing ecological and environmental problems such as species invasion, vegetation degradation, and biodiversity reduction. In order to study the evolution of wetland landscape types more intuitively, this paper proposed a semantic segmentation network based on the encoder and decoder structure of ResNet-18. Then, the wetland landscapes in the YRD were classified into five types by combining the Landsat series of remote sensing images. In addition, this paper used the optical flow algorithm to visualize the identification results, which can represent the evolution pattern of wetland landscape types in different years. The results of this paper have an important significance for the subsequent development planning and protection in the YRD.

关键词： Identification of Wetland Landscape Types optical Flow Algorithm ResNet Spatial and Temporal Evolution

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Smart Machine Vision for Universal Spatial-Mode Reconstruction

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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING systems 2025年 PP卷 PP页

作者： Huerta-Morales, Jose D. You, Chenglong Magana-Loaiza, Omar S. Dong, Shi-Hai Leon-Montiel, Roberto de J. Quiroz-Juarez, Mario A. Univ Nacl Autonoma Mexico Inst Ciencias Nucl Mexico City 04510 Mexico Louisiana State Univ Dept Phys & Astron Quantum Photon Lab Baton Rouge LA 70803 USA Huzhou Univ Res Ctr Quantum Phys Huzhou 310003 Peoples R China UPALM Inst Politecn Nacl Lab Cienciasde Informac Cuant CIC Mexico City 07700 Mexico Univ Nacl Autonoma Mexico Ctr Fis Aplicada & Tecnol Avanzada Queretaro 76230 Mexico

Structured light beams, in particular, those carrying orbital angular momentum (OAM), have gained a lot of attention due to their potential for enlarging the transmission capabilities of communication systems. However, the use of OAM-carrying light in communications faces two major problems, namely distortions introduced during propagation in disordered media, such as the atmosphere or optical fibers, and the large divergence that high-order OAM modes experience. While the use of nonorthogonal modes may offer a way to circumvent the divergence of high-order OAM fields, artificial intelligence (AI) algorithms have shown promise for solving the mode-distortion issue. Unfortunately, current AI-based algorithms make use of large-amount data-handling protocols that generally lead to large processing time and high power consumption. Here, we show that a low-power, low-cost image sensor can act as an artificial neural network that simultaneously detects and reconstructs distorted OAM-carrying beams. We demonstrate the capabilities of our device by reconstructing (with a 95% efficiency) individual Vortex, Laguerre-Gaussian (LG), and Bessel modes, as well as hybrid (nonorthogonal) coherent superpositions of such modes. Our work provides a potentially useful basis for the development of low-power-consumption, light-based communication devices.

关键词： Accuracy Laser beams Image reconstruction optical distortion optical fiber networks optical beams Convolutional neural networks optical fibers Deep learning Crosstalk Artificial intelligence (AI) neural networks smart machine-vision device spatial-mode reconstruction

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Fusion feature multi-objective classification algorithm based on adaptive scale feature residual network 16

Fusion feature multi-objective classification algorithm base...

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16th International conference on Signal processing systems, ICSPS 2024

作者： Hua, Chenyang Xie, Renhong Li, Peng Fang, Gan Zhao, Xianya Zhou, Maoyuan School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing210094 China

ISBN: (纸本)9781510689251

With the development of science and technology, radar has been widely used in both civil and military fields, and radar target classification and recognition is an important research direction in radar signal processing field. The traditional classification and recognition technology does not utilize all the information of echo, and the recognition rate will decrease obviously when the environment is too complicated and the SNR is low. To solve the above problems, this paper proposes three recognition algorithms. It is a fusion feature multi-objective classification algorithm based on multi-scale feature residual network (MKRN), a fusion feature multi-objective classification algorithm based on adaptive scale feature residual network (AKRN) and a fusion feature multi-objective classification algorithm based on adaptive scale feature multi-level branch residual network (AKSRN). These three algorithms introduce residual structure to avoid network degradation caused by the deepening of network depth, and use convolution kernel of different sizes to enhance the ability of the network to extract multi-scale feature information, which improves the accuracy of network classification and recognition. © 2025 SPIE.

关键词： Radar signal processing

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Quantum image encryption algorithm based on generalized Arnold transform and Lorenz chaotic systems

Quantum image encryption algorithm based on generalized Arno...

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2024 International conference Optoelectronic information and optical Engineering, OIOE 2024

作者： Zhang, Ruqing School of Information Engineering Shanghai Maritime University Shanghai201306 China

ISBN: (数字)9781510688209

ISBN: (纸本)9781510688193

With the rapid development of the internet and information technology, the traditional encryption methods suffer from drawbacks such as poor processing capacity and low security, making them vulnerable to attacks. This paper presents a hybrid encryption algorithm that combines the Lorenz chaotic system and the generalized Arnold transform to enhance information security and confidentiality in digital images. The proposed quantum encryption scheme involves two stages: interfering with pixel coordinate information and grayscale values using the generalized Arnold transform, followed by spatial domain scrambling of pixel positions using the Lorenz chaotic system. MATLAB simulations demonstrate the effectiveness of this algorithm in achieving the desired confusion and diffusion of pixel values, making it a superior encryption method for cryptography. © 2025 SPIE.

关键词： Encryption algorithms

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Reconfigurable optical matrix operations based on GST superlattice microring array 2

Reconfigurable optical matrix operations based on GST superl...

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2nd International conference on optical Communication and optical information processing, OCOIP 2024

作者： Pang, Zhizhong Dong, Yida Shen, Mei Ge, Yanqi Lei, Lei Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province Shenzhen518060 China China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China Academy for Advanced Interdisciplinary Studies Department of Materials Science and Engineering Southern University of Science and Technology Shenzhen518000 China

ISBN: (数字)9781510688995

ISBN: (纸本)9781510688988

This paper presents a reconfigurable matrix operations for optical digital computing using microring resonator (MMR) array assisted by ZnS-SiO2/Ge2Sb2Te5 superlattice (GST-SL) phase-change material (PCM). By overlaying the GST-SL onto the MMR array, the resonant state of each MMR element can be adjusted according to the assigned matrix weights, thereby modifying the optical matrix transfer function to yield specific logical operations. This device combines both nonlinear and linear operations to achieve the building blocks, including logic minterms and maxterms, for complex logic functions. Based on the basic logic units, combinational logic functions such as full addition and full subtraction have been numerically demonstrated. Our nanostructure reduces computational complexity and provides a basis for future array expansion, offering a promising new approach for integrated optical computing and optical signal processing. © 2025 SPIE.

关键词： optical signal processing

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Decentralized Target Localization in Distributed MIMO Radars 16

Decentralized Target Localization in Distributed MIMO Radars

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16th International conference on Signal processing systems, ICSPS 2024

作者： Qiu, Qinhui Li, Jie Xi, Feng School of Electronic and Optical Engineering Nanjing University of Science and Technology China

ISBN: (纸本)9781510689251

This paper addresses the problem of target estimation in distributed MIMO radars, focusing on the challenge of requiring a robust fusion center to process all the collected data. To overcome this limitation, we propose a solution based on the Alternating Direction Method of Multipliers (ADMM) that eliminates the need for a centralized fusion center. By leveraging the sparsity of target location information within the detection range, the target localization problem is reformulated as a sparse recovery problem, which is then efficiently solved using ADMM. The key innovation of the proposed approach is the transformation of the average value computation, typically required in centralized methods, into a consensus averaging problem, and subsequently into a consensus optimization problem. This transformation allows for fully decentralized processing, where each node only communicates with its neighboring nodes to reach a consensus on the estimation of target location. Simulation results demonstrate that the proposed distributed algorithm achieves performance comparable to that of semi-distributed algorithms while fully exploiting the advantages of decentralization. © 2025 SPIE.

关键词： Consensus algorithm

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