摘要翻译：
本文介绍了最近提出的一种基于滤波器组多载波(FBMC)通信系统的总体思想和结果，该通信系统采用两种正交极化：双极化FBMC（DP-FBMC）。利用该系统可以缓解FBMC系统的固有干扰问题。这使得能够使用循环前缀正交频分复用（CP-OFDM）系统中用于信道均衡、多输入/多输出(MIMO)处理等的所有多载波技术，而不使用常规FBMC所需的额外处理。与CP-OFDM和FBMC相比，DP-FBMC还提供了其他有趣的优点，如在多径衰落信道中具有更强的鲁棒性，以及对接收机载波频率偏移(CFO)和定时偏移(to)具有更强的鲁棒性。对于DP-FBMC，我们根据时间、频率和极化的不同复用技术提出了三种不同的结构。我们将表明其中一个结构具有与常规FBMC完全相同的系统复杂度和设备。仿真结果表明，DP-FBMC在色散信道中具有较好的误码率(BER)性能。基于这些结果，DP-FBMC有潜力成为未来无线通信系统的一个有希望的候选。
---
英文标题：
《Dual-Polarization OFDM-OQAM Wireless Communication System》
---
作者：
Hosseinali Jamal, David W. Matolak
---
最新提交年份：
2018
---
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。
--

---
英文摘要：
  In this paper we describe the overall idea and results of a recently proposed radio access technique based on filter bank multicarrier (FBMC) communication system using two orthogonal polarizations: dual-polarization FBMC (DP-FBMC). Using this system we can alleviate the intrinsic interference problem in FBMC systems. This enables use of all the multicarrier techniques used in cyclic-prefix orthogonal frequency-division multiplexing (CP-OFDM) systems for channel equalization, multiple-input/multiple-output (MIMO) processing, etc., without using the extra processing required for conventional FBMC. DP-FBMC also provides other interesting advantages over CP-OFDM and FBMC such as more robustness in multipath fading channels, and more robustness to receiver carrier frequency offset (CFO) and timing offset (TO). For DP-FBMC we propose three different structures based on different multiplexing techniques in time, frequency, and polarization. We will show that one of these structures has exactly the same system complexity and equipment as conventional FBMC. In our simulation results DP-FBMC has better bit error ratio (BER) performance in dispersive channels. Based on these results, DP-FBMC has potential as a promising candidate for future wireless communication systems.
---
PDF链接：
https://arxiv.org/pdf/1806.05143