摘要翻译：
本文首次介绍了紧凑型VLC发射机和接收机的硬件实现。与相关工作相比，我们的VLC发射机是非RLL发射机，也就是说即使没有RLL码也能保证闪烁抑制。特别地，我们利用一个预扰器和一个极性编码器的集中比特概率分布来创建一个非RLL闪烁缓解解决方案。此外，在接收端，提出了一个3位软判决滤波器来分析从实际VLC信道接收的信号，提取对数似然比(LLR)值，并将其馈送给FEC解码器。因此，采用极性译码器进行软译码可以提高VLC系统的误码率(BER)性能。最后，我们介绍了一种新颖的超大规模集成(VLSI)结构，用于紧凑型VLC发射机和接收机；并在FPGA/ASIC综合工具下综合了我们的设计。由于采用了非RLL的基本算法，与其他基于RLL的接收机相比，我们的系统具有明显的码率和较低的复杂度。同时，我们给出了该架构的FPGA和ASIC综合结果，包括功耗、面积、每比特能量等方面的评估。
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英文标题：
《VLSI Architecture of Compact Non-RLL Beacon-based Visible Light
  Communication Transmitter and Receiver》
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作者：
Duc-Phuc Nguyen, Dinh-Dung Le, Thi-Hong Tran, Huu-Thuan Huynh, and
  Yasuhiko Nakashima
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最新提交年份：
2018
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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英文摘要：
  In this paper, we introduce a couple of hardware implementations of compact VLC transmitter and receiver for the first time. Compared with related works, our VLC transmitter is non-RLL one, that means flicker mitigation can be guaranteed even without RLL codes. In particular, we have utilized a centralized bit probability distribution of a prescrambler and a Polar encoder to create a non-RLL flicker mitigation solution. Moreover, at the receiver, a 3-bit soft-decision filter is proposed to analyze signals received from real VLC channel to extract log-likelihood ratio (LLR) values and feed them to the FEC decoder. Therefore, soft-decoding of Polar decoder can be implemented to improve the bit-error-rate (BER) performance of the VLC system. Finally, we introduce a novel very large scale integration (VLSI) architecture for the compact VLC transmitter and receiver; and synthesis our design under FPGA/ASIC synthesis tools. Due to the non-RLL basic, our system has an evidently good code-rate and a reduced-complexity compared with other RLL-based receiver works. Also, we present FPGA and ASIC synthesis results of the proposed architecture with evaluations of power consumption, area, energy-per-bits and so on.
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PDF链接：
https://arxiv.org/pdf/1805.03398