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2022 IEEE Radio and Wireless Symposium (RWS)最新文献

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A Novel Microwave Architecture for Passive Sensing Applications 一种用于被动传感的新型微波结构
Pub Date : 2022-01-16 DOI: 10.1109/RWS53089.2022.9719929
Davi V. Q. Rodrigues, Dongyang Tang, Changzhi Li
The use of radio-frequency signals for passive indoor applications has gained significant interest over the last years. By leveraging ubiquitous Wi-Fi signals, the Doppler information of a target can be retrieved after the analysis of measurements associated with the received signal strength (RSS), the channel state information (CSI), or with passive Wi-Fi radar (PWR) techniques. However, RSS and CSI-based strategies require digital signal processing of high computational cost and/or special modifications to the Wi-Fi access point, while PWR-based approaches rely on a reference channel and interference removal algorithms to provide Doppler information. In this work, a novel microwave architecture for passive sensing applications is proposed. By taking advantage of the reflected RF signals and the direct signals from a non-cooperative transmitter, the proposed architecture can provide the Doppler information of a moving target. Experimental results confirm the effectiveness of the proposed scheme for the remote detection of small amplitude motion.
在过去几年中,射频信号在无源室内应用中的应用获得了极大的兴趣。通过利用无处不在的Wi-Fi信号,可以在与接收信号强度(RSS)、信道状态信息(CSI)或无源Wi-Fi雷达(PWR)技术相关的测量分析后检索目标的多普勒信息。然而,基于RSS和csi的策略需要高计算成本的数字信号处理和/或对Wi-Fi接入点进行特殊修改,而基于pwr的方法依赖于参考信道和干扰去除算法来提供多普勒信息。在这项工作中,提出了一种用于被动传感应用的新型微波结构。利用非合作发射机反射的射频信号和直接信号,可以提供运动目标的多普勒信息。实验结果验证了该方法对小幅度运动的远程检测的有效性。
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引用次数: 4
Hardware-Software Co-Design of Sub-6 GHz Transceiver for Reconfigurable Prototyping 基于可重构原型的sub - 6ghz收发器软硬件协同设计
Pub Date : 2022-01-16 DOI: 10.1109/RWS53089.2022.9719911
Sanghoon Lee, K. Kolodziej
Digital radio frequency (RF) systems are becoming increasingly popular with the proliferation of software-defined radios (SDRs). This digitization is overtaking traditional-RF architectures that are often difficult to build and expensive to modify with many designs containing multiple complex-analog components. One way to efficiently implement a SDR is by using a hardware/software (HW/SW) co-design process, which concurrently generates and optimizes the HW and SW in an integrated fashion. This type of SDR realization allows engineers with various backgrounds to rapidly explore and assess different system configurations and algorithms without modifying any analog components. This paper demonstrates a SDR co-design methodology through the use of a wideband RF transceiver module connected to a field-programmable gate array for cost- effective and reconfigurable system prototyping. We demonstrate the power of this capability by creating an in-band full-duplex system that probes wireless channels using both radar and communications waveforms for multi-function applications.
随着软件定义无线电(sdr)的普及,数字射频(RF)系统正变得越来越流行。这种数字化正在超越传统的射频架构,传统的射频架构通常难以构建,并且包含多个复杂模拟组件的许多设计修改成本高昂。有效实现SDR的一种方法是使用硬件/软件(HW/SW)协同设计过程,该过程以集成的方式同时生成和优化硬件和软件。这种类型的SDR实现允许具有不同背景的工程师快速探索和评估不同的系统配置和算法,而无需修改任何模拟组件。本文通过使用连接到现场可编程门阵列的宽带射频收发器模块来演示SDR协同设计方法,以实现成本效益和可重构的系统原型。我们通过创建一个带内全双工系统来展示这种能力的力量,该系统使用雷达和通信波形探测无线信道,用于多功能应用。
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引用次数: 0
Correlation Technologies for OTA Testing of mmWave Mobile Devices Using Energy Metrics 基于能量度量的毫米波移动设备OTA测试相关技术
Pub Date : 2022-01-16 DOI: 10.1109/RWS53089.2022.9719895
S. Wane, T. Dinh, Quan Hung Tran, D. Bajon, F. Ferrero, L. Duvillaret, G. Gaborit, J. Sombrin, E. De Ledinghen, P. Laban, V. Huard, S. Mhira, L. Tombakdjian, P. Ratajczak, A. Bousseksou
In this paper, we introduce correlation technologies both at RF/mmWave and Base-Band frequencies. At RF and mmWave frequencies power-spectra and energy-spectra metrics are introduced for measuring the power-density of mobile devices and systems. The use of unified power-spectra and energy-spectra metrics leads to innovative Electromagnetic-Thermal sensing solutions for OTA-Testing. At Base-Band frequencies, DSP-based Convolutional-Accelerators are proposed for fast and accurate measurement of EVM (Error Vector Magnitude) using correlation technologies. New ASIC-embedded Smart-Connectors are developed for bringing correlation-based signal processing close to antenna-in-package (AiP) modules. Porting of the DSP-based Convolutional-Accelerators into advanced FD-SOI-ASIC platforms for co-integration with adaptive RF/mmWave FrontEnd-Modules will enable real-time extraction of auto-correlation and cross-correlation functions of stochastic signals for mobile devices and systems. Perspectives toward optically synchronized interferometric-correlation technologies are drawn for accurate measurements of stochastic EM fields in noisy environments.
本文介绍了射频/毫米波和基带频率下的相关技术。在射频和毫米波频率下,引入了用于测量移动设备和系统功率密度的功率谱和能谱指标。使用统一的功率谱和能谱指标可以为ota测试提供创新的电磁热感测解决方案。在基带频率,提出了基于dsp的卷积加速器,利用相关技术快速准确地测量EVM(误差矢量幅度)。开发了新的asic嵌入式智能连接器,使基于相关的信号处理接近天线封装(AiP)模块。将基于dsp的卷积加速器移植到先进的FD-SOI-ASIC平台上,与自适应RF/毫米波前端模块进行协集成,将能够实时提取移动设备和系统随机信号的自相关和相互关联函数。展望了光学同步干涉相关技术在噪声环境下精确测量随机电磁场的前景。
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引用次数: 2
Comparison of Co-located and Distributed MIMO for Indoor Wireless Communication 室内无线通信中协同定位MIMO与分布式MIMO的比较
Pub Date : 2022-01-16 DOI: 10.1109/RWS53089.2022.9719879
C. Fager, Simon Rimborg, Emma Radahl, H. Bao, T. Eriksson
This paper compares the communication performance for co-located and emerging distributed MIMO in a typical indoor scenario. The simulations, which are verified against experimental measurement data, show that distributed MIMO offers a significantly more uniform capacity for the users. The results also show that the same user capacity can be achieved with half the number of antennas in the distributed MIMO case.
本文比较了一种典型的室内场景下共定位MIMO和新兴分布式MIMO的通信性能。仿真结果与实验测量数据相比较表明,分布式MIMO为用户提供了更均匀的容量。结果还表明,在分布式MIMO情况下,用一半的天线数量可以实现相同的用户容量。
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引用次数: 3
60 GHz Outdoor Propagation Measurements and Analysis Using Facebook Terragraph Radios 使用Facebook terraggraph无线电的60ghz室外传播测量和分析
Pub Date : 2021-09-02 DOI: 10.1109/RWS53089.2022.9719957
K. Du, Omkar Mujumdar, Ö. Özdemir, Ender Ozturk, Ismail Güvenç, M. Sichitiu, H. Dai, Arupjyoti Bhuyan
The high attenuation of millimeter-wave (mmWave) would significantly reduce the coverage areas, and hence it is critical to study the propagation characteristics of mmWave in multiple deployment scenarios. In this work, we investigated the propagation and scattering behavior of 60 GHz mmWave signals in outdoor environments at a travel distance of 98 m for an aerial link (rooftop to rooftop), and 147 m for a ground link (light-pole to light-pole). Measurements were carried out using Facebook Terragraph (TG) radios. Results include received power, path loss, signal-to-noise ratio (SNR), and root mean square (RMS) delay spread for all beamforming directions supported by the antenna array. Strong line-of-sight (LOS) propagation exists in both links. We also observed rich multipath components (MPCs) due to edge scatterings in the aerial link, while only LOS and ground reflection MPCs in the other link.
毫米波(mmWave)的高衰减会显著减小覆盖面积,因此研究毫米波在多种部署场景下的传播特性至关重要。在这项工作中,我们研究了60 GHz毫米波信号在室外环境中的传播和散射行为,空中链路(屋顶到屋顶)的传播距离为98米,地面链路(灯杆到灯杆)的传播距离为147米。使用Facebook Terragraph (TG)无线电进行测量。结果包括天线阵列支持的所有波束形成方向的接收功率、路径损耗、信噪比(SNR)和均方根(RMS)延迟扩展。在两条链路中都存在强视距(LOS)传播。在空中链路中,由于边缘散射,我们还观察到丰富的多径分量(mpc),而在其他链路中,只有LOS和地面反射mpc。
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引用次数: 7
Empirical Mode Decomposition (EMD) for Platform Motion Compensation in Remote Life Sensing Radar 基于经验模态分解的遥感雷达平台运动补偿
Pub Date : 2021-07-30 DOI: 10.1109/RWS53089.2022.9719920
S. M. Islam, Lupua Oba, V. Lubecke
Radar sensing of respiratory motion from unmanned aerial vehicles (UAVs) offers great promise for remote life sensing especially in post-disaster search and rescue applications. One major challenge for this technology is the management of motion artifacts from the moving UAV platform. Prior research has focused on using an adaptive filtering approach which requires installing a secondary radar module for capturing platform motion as a noise reference. This paper investigates the potential of the empirical mode decomposition (EMD) technique for the compensation of platform motion artifacts using only primary radar measurements. Experimental results demonstrated that the proposed EMD approach can extract the fundamental frequency of the breathing motion from the combined breathing and platform motion using only one radar, with an accuracy above 87%.
无人机的呼吸运动雷达传感技术为遥感生命提供了广阔的应用前景,特别是在灾后搜救应用中。该技术面临的一个主要挑战是来自移动无人机平台的运动伪影的管理。先前的研究主要集中在使用自适应滤波方法,该方法需要安装二次雷达模块来捕获平台运动作为噪声参考。本文研究了经验模态分解(EMD)技术仅使用一次雷达测量来补偿平台运动伪影的潜力。实验结果表明,所提出的EMD方法仅使用一台雷达就能从呼吸和平台运动的组合中提取出呼吸运动的基频,精度在87%以上。
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引用次数: 0
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2022 IEEE Radio and Wireless Symposium (RWS)
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