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2022 International Conference on Advanced Technologies for Communications (ATC)最新文献

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Real-Time Medical Radar-based Vital Sign Monitoring System Implemented with Signal Quality Classification Algorithm 基于信号质量分类算法的实时医疗雷达生命体征监测系统
Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943036
H. Yen, Van‐Phuc Hoang, Nguyen Huu Son, Quang Kien Trinh, X. Tran, K. Ishibashi, G. Sun
Owing to the Covid-19 epidemic, medical radar has become a potential non-contact method in patient monitoring. However, this radar type is sensitive to external interference. The output signal obtained by the radar when a patient makes random body movements can significantly reduce the accuracy of vital sign detection algorithms. In addition, algorithms should be developed for actual application. In this study, we present an improved model of the 24-GHz radar signal quality classification system and a technique to enhance the resolution of respiration rate (RR) and heart rate (HR) for short time interval signals. Moreover, a complete system including signal quality assessment and vital signs extraction is implemented in real time on the Lab-VIEW software. The signal quality classification was evaluated on the measured signals of 10 healthy subjects. Accordingly, the obtained results indicate that with specific features, the accuracy of signal quality classification reaches 89.8%-100% while real-time RR and HR extraction results demonstrate significant agreement between radar measurement and the contact-type sensor.
由于新冠肺炎疫情,医疗雷达已成为一种潜在的非接触式患者监测方法。然而,这种雷达对外部干扰很敏感。当患者进行随机身体运动时,雷达获得的输出信号会显著降低生命体征检测算法的准确性。此外,还应根据实际应用开发算法。在本研究中,我们提出了一种改进的24ghz雷达信号质量分类系统模型,并提出了一种提高短时间间隔信号呼吸速率(RR)和心率(HR)分辨率的技术。在Lab-VIEW软件上实现了包括信号质量评估和生命体征实时提取在内的完整系统。对10名健康受试者的测量信号进行信号质量分类。结果表明,具有特定特征的信号质量分类准确率达到89.8% ~ 100%,实时RR和HR提取结果与雷达测量结果具有显著的一致性。
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引用次数: 0
Multi-task Deep-Learning Vehicle Detection and Tracking based on Aerial Views from UAV 基于无人机鸟瞰图的多任务深度学习车辆检测与跟踪
Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9942962
Cong Phuc Nguyen, V. Nguyen, Duc Dung Tran, A. Nguyen, N. P. Dao, D. Tran, Joo-Ho Lee, Anh Quang Nguyen
For vehicle management systems, vehicle detection, tracking, and recognition which provides statistical information on the number of vehicles and their characters are essential task, however, not only the vehicles themselves but also its characteristic such as types, and colors,.. is important for management. Besides, not only fixed traffic cameras, autonomous UAVs with cameras also can bring more flexibility and extend the management areas from an aerial view. In this paper, we propose and implement a real-time multi-task deep-learning for four-wheel vehicle detection, classification, and tracking system on UAVs. A dataset for detection and multi-task classification including multiple colors and types is built. To archive real-time the operation, we used the ByteTrack algorithm with YOLOv5, which is more efficient for mobile and embedded vision applications. Experimental results achieved high accuracy, more than 90% in multi-task classifying, and 56.21 HOTA tracking evaluation metrics on our created test set. The processing time is fast enough for real-time operation, 14 FPS for the detector, and 64 FPS for classification based on an embedded computer, Jetson Nano.
对于车辆管理系统来说,车辆检测、跟踪和识别是提供车辆数量和车辆特征统计信息的重要任务,然而,不仅仅是车辆本身,还有车辆的类型、颜色等特征。对管理很重要。此外,除了固定的交通摄像头,带有摄像头的自主无人机也可以带来更大的灵活性,从鸟瞰的角度扩展管理区域。在本文中,我们提出并实现了一种用于无人机四轮车辆检测、分类和跟踪的实时多任务深度学习系统。建立了包含多种颜色和类型的检测和多任务分类数据集。为了实时存档操作,我们使用了YOLOv5的ByteTrack算法,该算法对于移动和嵌入式视觉应用更有效。实验结果取得了较高的准确率,多任务分类准确率达到90%以上,在我们创建的测试集上有56.21个HOTA跟踪评价指标。处理时间足够快,可以进行实时操作,检测器的处理时间为14 FPS,基于嵌入式计算机Jetson Nano的分类处理时间为64 FPS。
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引用次数: 0
Blind Symbol Rate Estimation Using Wavelet Transform and Deep Learning for FSK Modulated Signals 基于小波变换和深度学习的FSK调制信号盲码率估计
Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943051
Inna Valieva, I. Voitenko, M. Björkman, J. Åkerberg, Mikael Ekström
This paper is focused on the blind symbol rate estimation for the digital FSK modulated signals, based on the classification between three symbol rate classes: 10, 100, and 1000 KSymbol/second using the scalogram images obtained from continuous wavelet transform with Morse wavelet. Pretrained deep learning AlexNet has been transfer learned to classify between symbol rate classes. Training, testing, and validation data sets have been composed of the artificial data generated using Bernoulli binary random signal generator modulated into FSK signal corrupted by additive white Gaussian noise (AWGN) noise with SNR ranging from 1 to 30 dB. Training and validation data sets have been augmented to obtain twice more extensive data set i.e 1800 scalogram images, compared to the original size of 900 samples. The average classification accuracy during validation has reached 99.7 % and during testing 100 % and 96.3 % for the data sets with SNR 25–30 dB and 20–25 dB respectively. The proposed algorithm has been compared with cyclostationary and has shown improved classification accuracy, especially in conditions of low SNR.
利用莫尔斯小波连续小波变换得到的尺度图图像,基于10、100、1000 KSymbol/s三种符号速率的分类,研究了数字FSK调制信号的盲码率估计。预训练深度学习AlexNet已被转移学习分类之间的符号率类。训练、测试和验证数据集由伯努利二进制随机信号发生器产生的人工数据组成,这些数据被调制成被加性高斯白噪声(AWGN)噪声破坏的FSK信号,信噪比范围为1至30 dB。训练和验证数据集已经增强,以获得两倍更广泛的数据集,即1800个尺度图图像,而不是原始的900个样本。对于信噪比为25-30 dB和20-25 dB的数据集,验证时的平均分类准确率达到99.7%,测试时的平均分类准确率为100%和96.3%。将该算法与循环平稳算法进行了比较,结果表明该算法的分类精度有所提高,特别是在低信噪比条件下。
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引用次数: 0
Physical Layer Security for UAV-Based Full-Duplex Relay NOMA System 基于无人机的全双工中继NOMA系统的物理层安全
Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943050
Thanh Trung Nguyen, V. T. Hoang, T. T. Huyen Le, X. Tran
In this paper, we investigate the secrecy performance of an unmanned aerial vehicle (UAV)-based full-duplex (FD) relay non-orthogonal multiple access (NOMA) system over the Nakagami-m fading channel. A mobile UAV acts as an aerial relay station (ARS) to assist transmission from a source (S) to two users (D1, D2), in the presence of a ground internal eavesdropper (E). To ensure secure communication at users, we propose to insert an artificial noise (AN) component into the transmit signal at the full-duplex ARS (FD-ARS) with power allocated using the NOMA protocol. We analyze the secrecy outage performance of the system and the users and obtain the approximate secrecy outage probability (SOP) in various propagation environments, i.e., the dense urban, urban and suburban environments. It is demonstrated that using AN allows the users to achieve the secrecy over the signal-to-noise ratio. Also, the system achieves the best secrecy performance when the FD-ARS is closer to the further user while losing the secrecy when closer to the source. The FD-ARS system is shown to achieve better secrecy performance than the respective half-duplex (HD) ARS system.
本文研究了基于无人机的全双工(FD)中继非正交多址(NOMA)系统在Nakagami-m衰落信道上的保密性能。在地面内部窃听器(E)存在的情况下,移动无人机充当空中中继站(ARS),协助从一个源(S)传输到两个用户(D1, D2)。为了确保用户的安全通信,我们建议在全双工ARS (FD-ARS)的发射信号中插入人工噪声(an)组件,并使用NOMA协议分配功率。分析了系统和用户在不同传播环境下的保密中断性能,得到了密集城市、城市和郊区环境下的近似保密中断概率(SOP)。结果表明,使用AN可以使用户在信噪比上实现保密性。当FD-ARS距离远端用户较近时,系统的保密性能最佳,而当FD-ARS距离源较近时,系统失去保密性能。FD-ARS系统比相应的半双工(HD) ARS系统具有更好的保密性能。
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引用次数: 3
Low-Complexity Large-Scale MIMO Detector with 16-Ary QAM Superposition Constellations 低复杂度大尺度MIMO 16-Ary QAM叠加星座探测器
Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943015
Duc A. Hoang, T. Nguyen, T. L. Nhat, Hieu T. Nguyen
To achieve higher bandwidth efficiency in wireless communication systems where the available frequency band is strictly limited, high-order modulation schemes are widely chosen as a promising solution to meet the band-efficiency requirement. This paper proposes two low-complexity signal detection architectures using superposition mapping and decomposition techniques at the modulator. The first signal detection, a so-called one-step detector, enjoys the low complexity level of the Tanner-graph-based detection algorithm, which is in the second order of the product of the modulation order and the number of transmit antennas. To further reduce the complexity level for the detector by 50%, a two-step belief propagation detector is proposed where interference of the stronger bit index is partially canceled when recovering the weaker bit index. As a result, the novel proposed two-step detector performs nearly as well as the one-step detection architecture when a massive number of antennas are employed at the receiver side while offering complexity reduction. This attribute of the proposed two-step large-scale multiple-input multiple-output (LS-MIMO) detector is significantly critical for 5G and beyond, where a massive/large-scale number of antennas should be employed to meet the growing demand for high-speed wireless access.
在可用频带受到严格限制的无线通信系统中,为了实现更高的带宽效率,高阶调制方案作为满足带宽效率要求的一种有前景的解决方案被广泛选择。本文提出了两种低复杂度的信号检测体系结构,在调制器处采用叠加映射和分解技术。第一步信号检测,即所谓的一步检测器,其复杂度较基于tanner图的检测算法低,是调制阶数与发射天线数乘积的二阶。为了进一步降低检测器的复杂度50%,提出了一种两步信念传播检测器,该检测器在恢复较弱的位索引时部分消除较强位索引的干扰。因此,当在接收端使用大量天线时,新提出的两步检测器的性能几乎与一步检测架构一样好,同时降低了复杂性。所提出的两步大规模多输入多输出(LS-MIMO)探测器的这一属性对于5G及以后的5G至关重要,因为5G需要使用大量/大规模天线来满足日益增长的高速无线接入需求。
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引用次数: 0
Build Full Model for Production Data Monitoring and Managing using IoT Technology 使用物联网技术构建生产数据监控和管理的完整模型
Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943008
V. B. Nguyen, Van-An Vo, Thi Thuy Nga Le, Van Son Nguyen
Electrical energy monitoring and management is an integrated system that includes planning, supporting operations, as well as evaluating power efficiency at manufacturing plants. Monitoring electrical energy usage is the key to saving energy and improving its safety. From there, it is possible to control and reduce energy consumption such as reducing costs, reducing carbon emissions, and reducing risks. Research in this paper applies a wireless data transmission platform combined with an embedded microcontroller system to build a real-time data collection system to monitor and manage power usage and production data. A complete model with standard features is introduced to realize the technology.
电能监测和管理是一个综合系统,包括计划、支持操作以及评估制造工厂的电力效率。电能使用监测是节能和提高电能安全的关键。在此基础上,可以控制和减少能源消耗,如降低成本,减少碳排放,降低风险。本文研究采用无线数据传输平台结合嵌入式单片机系统构建实时数据采集系统,对用电和生产数据进行监控和管理。介绍了一个具有标准特征的完整模型来实现该技术。
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引用次数: 0
Design of a Reliable Low Latency Industrial Wireless LAN System 一个可靠的低延迟工业无线局域网系统的设计
Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943025
T. T. T. Nguyen, Nguyen Viet Ha, H. Ochi
This paper describes an industrial wireless LAN system that includes the media access control and physical layer. The proposed system can support both synchronous and asynchronous communication which are mostly known as EtherCAT and RS-232C, respectively. The experimental results on hardware boards show the spectrum of our proposed system corresponding with the parameters set. In addition, the communication error rate of the proposed system is also considered in this paper. By formulating the communication error rate, we can quantitatively evaluate the communication performance and reduce the verification time. In the simulation result, we evaluate that the communication quality required for an industrial system is satisfied.
本文介绍了一种包括媒体访问控制和物理层的工业无线局域网系统。所提出的系统可以支持同步和异步通信,它们分别被称为EtherCAT和RS-232C。在硬件板上的实验结果表明,我们提出的系统的频谱与设定的参数相对应。此外,本文还考虑了系统的通信误差率。通过制定通信错误率,可以定量评价通信性能,减少验证时间。在仿真结果中,我们评估了满足工业系统所需的通信质量。
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引用次数: 0
Design of Compact and Wide-Band Antennas 小型宽频带天线的设计
Pub Date : 2022-10-20 DOI: 10.1109/atc55345.2022.9943017
Z. Shen
Recent years have witnessed the growing demand for more wireless connectivity and services. This has posed a big challenge for antenna engineers, which is to design wide-band or multiband antennas with very small footprint. The paradox of achieving wide-band operation while retaining a compact antenna size appears difficult to resolve. This talk takes a careful look at this contradicting challenge and proposes several strategies to address the difficulty. First, we review the fundamental concepts for achieving antenna's wide-band operation. We then introduce techniques for effectively miniaturizing an antenna's size while maintaining its wide-band operation. After that, a number of practical examples are presented to demonstrate the design of compact and yet wide-band antennas.
近年来,人们对无线连接和服务的需求不断增长。这给天线工程师提出了一个巨大的挑战,那就是如何设计出占用空间非常小的宽带或多频段天线。在保持紧凑天线尺寸的同时实现宽带操作的矛盾似乎很难解决。这次演讲将仔细研究这一矛盾的挑战,并提出解决这一困难的几种策略。首先,我们回顾了实现天线宽带工作的基本概念。然后,我们介绍了在保持其宽带运行的同时有效缩小天线尺寸的技术。然后,给出了一些实际的例子来演示紧凑而宽频带天线的设计。
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引用次数: 0
Incremental Cooperation Based Multi-hop Relaying Scheme With Fountain Codes, Wirelessly Energy Harvesting and Partial Relay Selection 基于喷泉码、无线能量收集和部分中继选择的增量合作多跳中继方案
Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943044
Nguyen Trong Huan, Tran Trung Duy, L. Tu, N. Q. Sang, Quang Hien Ta, P. Tuan
This paper concerns with performance evaluation of cooperative transmission aided multi-hop relaying scheme operating on radio-frequency energy harvesting environment, where all transmitters have to harvest wireless energy supported by a power beacon deployed in the considered network. In the proposed scheme, a source uses Fountain code to send its data to a destination via a multi-hop relaying approach. To enhance reliability of the transmission of Fountain packets at each hop, incremental cooperative communication using partial relay selection is employed. We evaluate end-to-end outage probability of our scheme over Rayleigh fading channels, and then verify the derived expression by MATLAB simulations. The results present that the proposed scheme can obtain better performance, as compared with the conventional multi-hop relaying protocol without using cooperative communication.
本文研究了协同传输辅助多跳中继方案在射频能量收集环境下的性能评估,其中所有发射机都必须在考虑的网络中部署的功率信标支持下收集无线能量。在提出的方案中,源端使用喷泉码通过多跳中继方式将其数据发送到目标端。为了提高每跳喷泉包传输的可靠性,采用了部分中继选择的增量协同通信。我们评估了我们的方案在瑞利衰落信道上的端到端中断概率,然后通过MATLAB仿真验证了推导出的表达式。结果表明,与传统的多跳中继协议相比,该方案在不使用协作通信的情况下可以获得更好的性能。
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引用次数: 2
Residual Transceiver Hardware Impairment and Imperfect Interference Cancellation With Two Way-enabled RIS Systems 双路RIS系统的剩余收发器硬件损伤和不完美干扰消除
Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943035
S. Q. Nguyen, Thai-Hoc Vu, Sunghwan Kim
This paper investigates the impact of hardware transceiver impairment and imperfect interference cancellation on two-way full-duplex communication-based reconfigurable intelligent surface (RIS) systems. To apprehend the operating performance of RIS systems, closed-form and asymptotic expressions for the outage probability (OP) are derived. Accordingly, some useful technical insights regarding system operation and the user's diversity order are also revealed. Monte-Carlo simulations are presented to validate the theoretical analysis.
本文研究了硬件收发器损伤和不完全干扰消除对基于双向全双工通信的可重构智能表面(RIS)系统的影响。为了理解RIS系统的运行性能,导出了停机概率(OP)的封闭形式和渐近表达式。在此基础上,给出了系统运行和用户分集顺序的一些有用的技术见解。通过蒙特卡罗仿真验证了理论分析的正确性。
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引用次数: 0
期刊
2022 International Conference on Advanced Technologies for Communications (ATC)
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