摘要翻译：
L-band数字航空通信系统-1(L-DACS1)是一种新兴的标准，旨在通过将传统的模拟航空通信系统过渡到高性能的数字领域来加强空中交通管理。L-DACS1采用了现代高效的正交频分复用(OFDM)调制技术，与现有的航空通信系统相比，实现了更高效、更高的数据速率。然而，OFDM系统的性能对符号定时偏移(STO)和载波频率偏移(CFO)等同步误差非常敏感。STO和CFO估计对于保持子载波之间的正交性对于信息检索是极其重要的。本文提出了一种新的用于L-DACS1系统的高效硬件同步器，该同步器在低功耗和低硬件资源占用下具有鲁棒的性能。Monte Carlo仿真结果表明，所提出的同步算法不仅提供了分数阶CFO估计，而且还提供了精确的STO估计。在广泛使用的现场可编程门阵列(FPGA)(Xilinx xc7z020clg484-1)上实现该同步器，其硬件利用率非常低，分别占查找表、触发器和数字信号处理块总数的6.5%、3.7%和6.4%。该同步器的动态功率小于1 mW。
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英文标题：
《A Hardware-Efficient Synchronization in L-DACS1 for Aeronautical
  Communications》
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作者：
Thinh Hung Pham, Vinod A. Prasad, A. S. Madhukumar
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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：
  L-band digital aeronautical communication system type-1 (L-DACS1) is an emerging standard that aims at enhancing air traffic management by transitioning the traditional analog aeronautical communication systems to the superior and highly efficient digital domain. L-DACS1 employs modern and efficient orthogonal frequency-division multiplexing (OFDM) modulation technique to achieve more efficient and higher data rate in comparison to the existing aeronautical communication systems. However, the performance of OFDM systems is very sensitive to synchronization errors such as symbol timing offset (STO) and carrier frequency offset (CFO). STO and CFO estimations are extremely important for maintaining orthogonality among the subcarriers for the retrieval of information. This paper proposes a novel efficient hardware synchronizer for L-DACS1 systems that offers robust performance at low power and low hardware resource usage. Monte Carlo simulations show that the proposed synchronization algorithm provides accurate STO estimation as well as fractional CFO estimation. Implementation of the proposed synchronizer on a widely used field-programmable gate array (FPGA) (Xilinx xc7z020clg484-1) results in a very low hardware usage which consumed 6.5%, 3.7%, and 6.4% of the total number of lookup tables, flip-flops, and digital signal processing blocks, respectively. The dynamic power of the proposed synchronizer is below 1 mW.
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PDF链接：
https://arxiv.org/pdf/1801.07578