太赫兹通信的全波仿真与散射建模

IF 8.7 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Journal of Selected Topics in Signal Processing Pub Date : 2023-06-13 DOI:10.1109/JSTSP.2023.3285099
Haofan Yi;Ke Guan;P. Takis Mathiopoulos;Pengxiang Xie;Danping He;Jianwu Dou;Zhangdui Zhong
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引用次数: 0

摘要

本文对太赫兹波在粗糙表面上反弹的散射现象进行了全面的分析和建模研究。更具体地说,提出了一种通用的参数化方法,以精确地对粗糙特性进行建模,重点关注表面的均方根(RMS)高度和相关长度。首先,开发了一种基于蒙特卡罗的方法来高效准确地实现这种粗糙表面的软件实现。然后,全波模拟器FEKO用于在300GHz下模拟具有6个RMS高度和5个相关长度的30个不同表面上的散射波的远场行为。采用定向散射(DS)模型,研究了散射系数$S$及其等效粗糙度$\alpha_{R}$在散射振幅方面的变化。此外,获得散射信号的相位和极化的统计特性,并将其与现有3GPP信道模型标准中可用的统计特性进行比较,这些标准对较低频带有效。这些比较表明,尽管相位遵循正态分布,就像等效3GPP信道模型的情况一样,但交叉极化比(XPR)遵循逻辑分布。这是一个重要的差异,可能对当前3GPP相关工作组的标准化活动产生重大影响。最后,通过算法实现了所提出的太赫兹波段散射模型。与仅表征散射信号振幅的经典二维DS模型相比,所提出的三维散射模型可以有效地用于精确表征散射信号的所有重要参数,即太赫兹波段的振幅、相位和偏振。此外,所提出的散射模型可以有效地与射线跟踪(RT)方案结合使用,从而为新的应用(如全息无线电和多用户多输入多输出(MU-MIMO)系统)实现精确的散射和信道建模。
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Full-Wave Simulation and Scattering Modeling for Terahertz Communications
This article presents a comprehensive study for analyzing and modeling the scattering phenomenon of terahertz (THz) waves bouncing on rough surfaces. More specifically, a generic parametric methodology to accurately model the rough characteristics focusing on the root-mean-square (RMS) height and correlation length of a surface is proposed. Firstly, a Monte Carlo-based approach is developed for the efficient and accurate software realization of such rough surfaces. Then, the full-wave simulator FEKO is used to simulate at 300 GHz the far-field behavior of scattering waves on 30 distinct surfaces having 6 RMS heights and 5 correlation lengths. By employing the directive scattering (DS) model, the variation of the scattering coefficient, $S$ , and its equivalent roughness, $\alpha _{R}$ , are studied for the scattering amplitude aspect. Furthermore, the statistical characteristics of the phase and polarization of the scattered signals are obtained and compared with those available in existing 3GPP channel model standards which are valid for lower frequency bands. These comparisons show that although the phases follow the normal distribution, as is the case with equivalent 3GPP channel models, the cross-polarization ratios (XPRs) follow the logistic distribution. This is an important difference which could have a great impact on the standardization activities of the current 3GPP-related working groups. Finally, the proposed scattering model at the THz band is realized through an algorithmic implementation. Compared with the classical two-dimensional DS model which characterizes only the amplitude of the scattered signal, the proposed three-dimensional scattering model can be efficiently used to accurately characterize all the important parameters of the scattered signals, namely, amplitude, phase, and polarization at the THz band. Additionally, the proposed scattering model can effectively work in conjunction with ray-tracing (RT) schemes leading to precise scattering and channel modeling for new applications, such as holographic radios and multi-user multiple-input multiple-output (MU-MIMO) systems.
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来源期刊
IEEE Journal of Selected Topics in Signal Processing
IEEE Journal of Selected Topics in Signal Processing 工程技术-工程:电子与电气
CiteScore
19.00
自引率
1.30%
发文量
135
审稿时长
3 months
期刊介绍: The IEEE Journal of Selected Topics in Signal Processing (JSTSP) focuses on the Field of Interest of the IEEE Signal Processing Society, which encompasses the theory and application of various signal processing techniques. These techniques include filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals using digital or analog devices. The term "signal" covers a wide range of data types, including audio, video, speech, image, communication, geophysical, sonar, radar, medical, musical, and others. The journal format allows for in-depth exploration of signal processing topics, enabling the Society to cover both established and emerging areas. This includes interdisciplinary fields such as biomedical engineering and language processing, as well as areas not traditionally associated with engineering.
期刊最新文献
Front Cover Table of Contents IEEE Signal Processing Society Information Introduction to the Special Issue Near-Field Signal Processing: Algorithms, Implementations and Applications IEEE Signal Processing Society Information
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