摘要翻译：
近年来，为了满足当前和未来的需求，无线电通信系统有了很大的发展。历史上，时间、频率和最近的空间维度被用来提高容量和鲁棒性。矛盾的是，利用极化维度的无线电通信并没有以同样的速度发展。特别是，这些通信被卫星广泛使用，其中在每个正交极化中多路复用几个流。目前的传播趋势主张简化和统一不同的框架，以增加灵活性和满足未来的需要。因此，不需要信道信息的系统正在逐步获得吸引力。本论文旨在挑战这一观点，促进极化技术在新型无线通信系统中的应用。因此，本文的目标有两个：首先，我们旨在提高点到点和点到多点链路的现有容量。其次，我们引入了新的机制来提高通信在特别恶劣环境下的健壮性。在此背景下，本文主张将极化作为无线通信的一个维度加以利用。除了使用极化之外，索引调制有助于增加传输速率，同时以低计算复杂度提高对错误和缺陷的鲁棒性。因此，研究这些系统中的极化现象是非常必要的。本文从信道容量、发射机和接收机的设计以及与现有系统的性能比较等方面进行了初步的探索。最后，我们识别并讨论了极化的各个特征方面。在这篇论文中，读者将浏览提出的概念的数学基础以及它们在现实生活场景中的实现。
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英文标题：
《Polarization and Index Modulations: a Theoretical and Practical
  Perspective》
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作者：
Pol Henarejos
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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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一级分类：Computer Science        计算机科学
二级分类：Information Theory        信息论
分类描述：Covers theoretical and experimental aspects of information theory and coding. Includes material in ACM Subject Class E.4 and intersects with H.1.1.
涵盖信息论和编码的理论和实验方面。包括ACM学科类E.4中的材料，并与H.1.1有交集。
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一级分类：Mathematics        数学
二级分类：Information Theory        信息论
分类描述：math.IT is an alias for cs.IT. Covers theoretical and experimental aspects of information theory and coding.
它是cs.it的别名。涵盖信息论和编码的理论和实验方面。
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英文摘要：
  Radiocommunication systems have evolved significantly in recent years in order to meet present and future demands. Historically, time, frequency and more recently, spatial dimensions have been used to improve capacity and robustness. Paradoxically, radiocommunications that leverage the polarization dimension have not evolved at the same pace. In particular, these communications are widely used by satellites, where several streams are multiplexed in each orthogonal polarization. Current communication trends advocate for simplifying and unifying different frameworks in order to increase flexibility and address future needs. Due to this, systems that do not require channel information are progressively gaining traction. This dissertation aims at challenging this perspective and promoting the use of polarization in new radiocommunication systems. Consequently, the goal of this thesis is twofold: first, we aim at increasing the current capacity of point-to-point and point-to-multipoint links. Secondly, we introduce new mechanisms to increase the robustness of communications in particularly hostile environments. In this context, this thesis advocates for the use of polarization as a dimension to be exploited in radiocommunications. In addition to the use of polarization, index modulations help increase transmission rates whilst improving robustness against errors and imperfections with a low computational complexity. Thus, the study of polarization in these systems is essential. This dissertation explores primordial aspects in this area, such as channel capacity, transmitter and receiver design and performance benchmarking with current systems. Finally, we identify and discuss various characteristic aspects of polarization. In this thesis, the reader will navigate the mathematical foundations of the proposed concepts as well as their implementation in real-life scenarios.
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PDF链接：
https://arxiv.org/pdf/1803.07297