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Optoelectronic devices and Integration XIII 2024

作者： Lu, Junde Sun, Yu Qin, Jun Tan, Junxiong Wang, Qian Li, Yueqin Sun, Jian Li, Zhensong Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing100192 China Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781510682009

The intensity modulation direct detection (IM/DD) system based on silicon photonic devices stands out as a leading contender for the next generation of short-reach optical communication due to its cost-effectiveness, low power consumption, and compact physical footprint. Nonetheless, its direct representation of digital information through amplitude variations renders them acutely susceptible to transmission impairments. To improve the signal quality at the receiver, digital signal processing (DSP) based equalization plays a pivotal role due to its programmability, flexibility and stability. Among different kinds of equalization methods, neural network (NN)-based equalization algorithms have attracted considerable attention, surpassing traditional algorithms such as feed-forward equalization (FFE), decision feedback equalization (DFE) and Volterra series-based nonlinear equalization (VNLE) et al. This increased attention is attributed to their robust capability for modeling both linear and nonlinear systems. In this paper, by employing a novel NN-based equalization with eight saturation regions activation function, we successfully transmit a 60 GBaud 8-ary pulse amplitude modulation (PAM8) signal with the bit error rate (BER) below high-definition forward error correction (HD-FEC) threshold of 3.8×10-3 and a 70 GBaud PAM8 signal with BER below soft-decision forward error correction (SD-FEC) threshold 2×10-2 using a 4-layer network architecture. Compared to the traditional activation function such as sigmoid and tanh, 1∼3 orders of magnitude of BER can be decreased. The results show that the proposed innovative NNbased equalization has the potential to significantly enhance the performance of the next generation silicon photonics based short-range optical communication systems. © 2024 SPIE. All rights reserved.

关键词： Silicon photonics

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Chromatic Dispersion Compensation in a Single-Channel, Single-Span 10 Gbit/s Fiber Optic Transmission System with Direct Photodetection Using Digital Signal processing 25

Chromatic Dispersion Compensation in a Single-Channel, Singl...

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25th IEEE International conference of Young Professionals in Electron devices and Materials, EDM 2024

作者： Sychuk, Anatolij Vardanyan, Vardges Maksimov, Artem Department of Photonics in Telecommunications Siberian State University of Telecommunications and Information Science Novosibirsk Russia Department of Computer-Aided Design Systems Siberian State University of Telecommunications and Information Science Novosibirsk Russia

ISBN: (纸本)9798350389234

The influence of chromatic dispersion on the noise immunity of an optical signal transmitted in a single-channel fiber-optic transmission system with direct photodetection is investigated. The criterion for assessing the noise immunity of a detected signal is the Q-factor. A method for compensating chromatic dispersion using digital signal processing is proposed. Digital signal processing is performed using a digital correction device installed in the receiving part of the transmission system, after the photodetector. The impulse response depends on the parameters of the transmission system. The theoretical effectiveness of the proposed chromatic dispersion compensation method is evaluated. The effectiveness of the compensation method is assessed by comparing the noise immunity of the detected signal before and after applying the dispersion compensation method. The possibility of using the proposed method of chromatic dispersion compensation in modern fiber-optic transmission systems is considered. The research was carried out using analytical modeling of the process of transmitting a sequence of Gaussian pulse signals over a standard single-mode optical fiber. The analytical model is implemented in the Mathcad environment. © 2024 IEEE.

关键词： Chromatic dispersion

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Design of PMCW Millimeter Wave Radar algorithms on an Embedded DSP 16

Design of PMCW Millimeter Wave Radar Algorithms on an Embedd...

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16th International conference on Signal processing systems, ICSPS 2024

作者： Zhao, Jinghao Liu, Qiuming Tan, Bin School of Software engineering Jiangxi University of Science and Technology Nanchang China Nanchang Key laboratory of Virtual Digital Factory and Cultural Communications Nanchang China Jiangxi Provincial Key Laboratory of Electronic Data Control and Forensics China School of Electronics and Information Engineering Jinggangshan University Ji’an China

ISBN: (纸本)9781510689251

The rapid advancements in autonomous driving technology necessitate the extensive deployment of automotive radars operating within the 77-81 GHz millimeter-wave band in the forthcoming years. In contrast to earlier Frequency Modulated Continuous Wave (FMCW) radars, Phase-Modulated Continuous Wave (PMCW) radars exhibit notable improvements in processing speed and flexibility, offering superior range and velocity resolution. These enhancements are critical for the precise detection and interpretation of dynamic and complex traffic scenarios. This paper initially presents the simulation and testing of algorithms for range and speed measurement using single-input single-output (SISO) PMCW millimeter-wave radar. Building upon these results, further simulations incorporating multi-input multi-output (MIMO) systems utilizing Hadamard codes are conducted to augment PMCW radar performance. The final phase of this study involves implementing the relevant signal processing algorithms on a custom-developed digital signal processor (DSP) named SWIFT. Experimental findings demonstrate that PMCW radar significantly mitigates multipath effects and clutter, maintaining high performance in complex environments. Furthermore, the algorithms executed on the DSP meet the anticipated performance standards. The proposed methodology not only validates the theoretical framework but also establishes a foundation for future hardware implementation. © 2025 SPIE.

关键词： Automotive radar

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A personal retrospective on the development of the DLP and related spinoffs 16

A personal retrospective on the development of the DLP and r...

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conference on Emerging Digital Micromirror Device Based systems and Applications XVI

作者： Cohn, Robert W. Univ Louisville Elect Res Inst Louisville KY 40209 USA Univ Louisville Nanotechnol Ctr Louisville KY 40209 USA

ISBN: (纸本)9781510670617;9781510670600

In 1985 I joined Texas Instruments' (TI's) Deformable Mirror Device ( DMD) group to develop applications of the cantilever device in coherent optical signal processing. At that time I witnessed the "aha discovery" that led to the invention of the DLP. It is interesting to consider the many years of effort that led Larry Hornbeck to this commercially successful implementation, not just the technology, but the efforts to sustain the project through sponsored R&D. While TI viewed the only sustainable market as (incoherent) display applications, the DMD group sustained the effort with DoD funding for coherent and incoherent optical signal processing systems, including matched filter correlators, digital optical switches, optical crossbar switches and related neural network processors. For coherent signal processing the need for a 2p phase-only (piston-motion pixel) spatial light modulator (SLM) was readily apparent to the sponsors. While TI saw little commercial justification for the phase-only device, this need inspired me around 1991 to develop a new class of real-time computer-generated holography algorithms referred to a pseudorandom encoding, in which each phase-only pixel is encoded with a desired magnitude and phase. The optical Fourier transforms of the modulation enabled my developments of multi-spot object targeting and laser tweezer systems. Around 2005 I began using Digital Light processing (DLP) developer kits in place of scanners to time-share images with a small number of detectors. One system using a single, high sensitivity detector together with well- chosen DLP frames quickly forms a "partial image" of a point-like scene objects - arguably, an early version of compressive sensing. This paper concludes with recommendations on optimizing the performance and applications of, and potential markets for TI's recently demonstrated phase-only DLP.

关键词： Deformable mirror device digital light processing optical information processing compressive sensing

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MUSIC Subspace Pursuit Algorithm for DOA Estimation with Single Snapshot 15

MUSIC Subspace Pursuit Algorithm for DOA Estimation with Sin...

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15th International conference on Signal processing systems, ICSPS 2023

作者： Cao, Ruoshi Zhao, Yongbo Gao, Di National Key Laboratory of Radar Signal Processing No.2 South Taibai Road Shaanxi Xi’an710071 China

ISBN: (纸本)9781510675056

Direction of arrival (DOA) estimation on uniform linear array with single snapshot has always been a hot topic in radar signal processing. The traditional subspace class estimation methods, such as multiple signal classification (MUSIC), and sparse recovery algorithms, such as subspace pursuit (SP) algorithm, are suitable for different situations, meanwhile have certain requirements for observation data and signal-to-noise ratio (SNR). Combining the advantages of these two methods, a novel MUSIC subspace pursuit (MSP) algorithm is proposed in this paper. Firstly, an error evaluation function of the residual signal is constructed. The angles measured by both methods are replaced and selected one by one. And then, the framework of the greedy algorithm is iteratively applied until convergence. In this algorithm, the subspace information of the signal is added to the greedy algorithm, and more conditions are used to improve the angle measurement accuracy with single snapshot. Simulation results illustrate that the proposed MSP algorithm outperforms the SP and MUSIC algorithms at different SNR levels and it keeps the faster reconstruction speed of SP algorithm. © 2024 SPIE.

关键词： Multiple signal classification

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Position Determination from CSI Measurements of Multiple UEs under Unaware Environment 16

Position Determination from CSI Measurements of Multiple UEs...

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16th International conference on Signal processing systems, ICSPS 2024

作者： Wang, Chenchen Ma, Yubin Yu, Fangrui Wen, Hao Liu, Weiyu Wan, Qun Nation Key Laboratory on Blind Signal Processing School of Information and Communication Engineering University of Electronic Science and Technology of China Sichuan Chengdu611731 China

ISBN: (纸本)9781510689251

In urban environment, communication signals encompass non-line-of-sight (NLOS) paths that contain environmental information. This paper investigates utilizing NLOS component signal to estimate the environment parameters, and uses these environmental parameters to achieve blind UEs (User Equipment) positioning. Specifically, this paper first analyzes the relationship between environmental parameters and the time of arrival (TOA) of NLOS signals. Second, an algorithm is proposed that utilizes the TOA of one-order NLOS signals in uplink signals between distributed UEs and base stations (BS) to estimate environmental parameters via maximum likelihood estimation. Subsequently, leveraging the obtained environmental parameters, achieving the positioning of blind UEs. Finally, numerical simulations validate the effectiveness of the proposed method. © 2025 SPIE.

关键词： Reflection Non line of sight propagation Mirrors Reconstruction algorithms Environmental sensing Mirror surfaces Point clouds LIDAR Monte Carlo methods Numerical simulations

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Research on Edge Computing Data processing Mechanism for Intelligent Terminal 3rd

Research on Edge Computing Data Processing Mechanism for Int...

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3rd World conference on Intelligent and 3D Technologies, WCI3DT 2024

作者： Zhang, Yefeng Hou, Rui Shi, Kexin Xu, Xiaoxing Xu, Jun State Grid Information and Telecommunication Group Co. Ltd. Beijing Branch Beijing100031 China Cloud Data Technology Co. Ltd. Beijing100031 China

ISBN: (纸本)9789819791231

Edge computing is a new computing mode, which aims to push computing and data processing to edge locations near data sources such as Internet of Things devices and intelligent terminals, so as to achieve low latency and efficient data processing. This research focuses on the edge computing environment for intelligent terminals, discusses the key data processing mechanisms, and conducts a series of experiments and evaluations to deeply understand its performance and effects. First, in terms of data collection and transmission, we studied how to effectively collect large-scale data from intelligent terminals and sensor devices, and transmit it to edge computing nodes through the network. The experimental results indicate that with the support of high-speed network connections, fast data transmission is crucial for real-time data processing. Secondly, in terms of data processing capability of edge computing nodes, we focus on real-time performance, data cleaning, pre-processing, analysis algorithms, and models. The experimental and evaluation results reveal the importance of appropriate hardware configuration and optimization algorithms in improving real-time performance and data quality. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Data processing mechanism Edge computing Intelligent terminal

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First principle and deep learning based switching property prediction of optical bio-molecular switch

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MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOsystems-information STORAGE AND processing systems 2024年第7期30卷 871-882页

作者： Roy, Debarati Dey Roy, Pradipta De, Debashis BP Poddar Inst Management & Technol Dept Elect & Commun Engn 137 VIP Rd Kolkata 700052 West Bengal India Maulana Abul Kalam Azad Univ Technol Dept Comp Sci & Engn NH 12Old NH 34PO Simhat Nadia 741249 West Bengal India Dr BC Roy Acad Profess Courses Dept Comp Applicat Jemua Rd Fuljhore Durgapur 713206 West Bengal India Univ Western Australia Dept Phys M01335 Stirling Highway Perth WA 6009 Australia

Electronic characterization of bio-molecular nanoscale devices is important in the new edge of nanotechnology and the field of nanoelectronics. In this new era, the molecular transmission properties of the Adenine bio-molecular optical switch are predicted using Density Functional Theory along with Non-Equilibrium Green's Function-based First Principle approach and this phenomenon is supported with Machine Learning based algorithms. The photo-induced switching characteristics are observed for the bi-directional bio-molecular switch for both forward and reverse bias conditions. This switching behaviour converts the position of the bio-molecular switch to its straightened and 60 degrees twisted form. The electrical doping process plays an important role in generating p and n regions at the two ends of the switch. In this experiment, gold electrodes are used as the supporting anchor of the Adenine molecules. The HOMO-LUMO gap and I-V characteristics of the bio-molecular switch are analyzed using first principle formalisms and compared with the Machine learning approach. This ML approach helps design the future-generation prediction model for the nano-scale electronic device simulation process. This prediction model can be obtained without knowing the switching characteristics and also without knowing all-time sequence generating waveforms but only observing the waveform prediction for up to a certain period sequence.

关键词： Density functional theory

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Method for background replacement of certification photos

Method for background replacement of certification photos

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2024 International conference on Optics, Electronics, and Communication Engineering, OECE 2024

作者： Chen, Xu Zhang, Jihong Du, Yufei Sha, Zihuan Qiu, Rongfei Xu, Zezhong School of Computer Science and Information Engineering Changzhou Institute of Technology Jiangsu Changzhou213032 China

ISBN: (纸本)9781510685437

In order to overcome defects resulted from replacing the photo background color, an improved method is proposed for background replacement. The α-values in the alpha matte are transformed to enhance the details in the transition area. The new photo is composited by comprehensively considering the foreground portrait, new background, old background and the alpha matte. The experimental results show that the foreground portrait appears clearer and more complete, and the transition area between the foreground and background is more harmonious and more natural. © 2024 SPIE.

关键词： Color Opacity Computer science Engineering Image processing Image processing algorithms and systems Image processing software Image segmentation information science

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Employing Machine Learning Paradigms for Optimized Hard Disk Failure Prediction in Shipboard systems 4

Employing Machine Learning Paradigms for Optimized Hard Disk...

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4th International Computational Imaging conference, CITA 2024

作者： Ma, C. Li, F. Gao, D. Zhao, Y. Bao, T. Li, X. China Ship Research and Development Academy Beijing China State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China

ISBN: (纸本)9781510688834

This paper presents an optimized machine learning-based approach for hard disk failure prediction, specifically tailored for shipboard systems. In shipboard systems, unexpected hard disk failures can disrupt operations and lead to critical data loss;therefore, reliable failure prediction is essential. To address the impact of dataset imbalance on predictive performance, we employed the Synthetic Minority Over-sampling Technique (SMOTE) alongside a fault-backtracking method to transform the imbalanced dataset into a balanced one, thereby enhancing the algorithm's predictive accuracy. Four machine learning algorithms were utilized in this study: K-Nearest Neighbors (KNN), Logistic Regression (LR), Extreme Gradient Boosting (XGBoost), and Random Forest (RF). Experimental results demonstrated that the RF algorithm achieved an accuracy of 97.1%, outperforming the other algorithms across all evaluation metrics. The contribution of this work lies in providing a feasible solution for hard disk failure prediction in shipboard systems through effective data processing strategies and algorithm selection, ultimately enhancing shipboard safety and reliability. © 2025 SPIE.

关键词： Hard disk storage

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