一种基于三维非平稳宽带几何模型的MIMO信道模型 车对车通信系统

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摘要翻译：
在本文中，我们提出了一个基于三维非宽感知平稳（非WSS）宽带几何模型的车对车(V2V)通信环境。我们引入了一个描述移动车辆的双圆柱模型，以及多个共焦半椭球模型来描述静止的路边场景。接收信号被构造为具有不同能量的视线、单反射和双反射射线的和。因此，所提出的信道模型足以描述各种V2V环境，如宏、微和微微蜂窝。移动发射机(MT)和接收机(MR)之间的相对运动导致了时变几何统计量，使得我们的信道模型是非平稳的。利用该信道模型，研究了不同相对运动时刻的信道统计量，即时变空间相关函数(CFs)、频率CFs和相应的多普勒功率谱密度(PSD)。数值结果表明，所提出的三维非WSS宽带信道模型对于描述真实的V2V信道是可行的。
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英文标题：
《A 3D Non-Stationary Wideband Geometry-Based Channel Model for MIMO
  Vehicle-to-Vehicle Communication System》
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作者：
Hao Jiang, Zaichen Zhang, Liang Wu, Jian Dang, and Guan Gui
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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 present a three-dimensional (3D) non-wide-sense stationary (non-WSS) wideband geometry-based channel model for vehicle-to-vehicle (V2V) communication environments. We introduce a two-cylinder model to describe moving vehicles as well as multiple confocal semi-ellipsoid models to depict stationary roadside scenarios. The received signal is constructed as a sum of the line-of-sight (LoS), single-, and double-bounced rays with different energies. Accordingly, the proposed channel model is sufficient for depicting a wide variety of V2V environments, such as macro-, micro-, and picocells. The relative movement between the mobile transmitter (MT) and mobile receiver (MR) results in time-variant geometric statistics that make our channel model non-stationary. Using this channel model, the proposed channel statistics, i.e., the time-variant space correlation functions (CFs), frequency CFs, and corresponding Doppler power spectral density (PSD), were studied for different relative moving time instants. The numerical results demonstrate that the proposed 3D non-WSS wideband channel model is practical for characterizing real V2V channels.
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PDF链接：
https://arxiv.org/pdf/1801.07336

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关键词：通信系统 何模型 非平稳 IMO MIM CFs vehicle 三维 场景 模型