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2021 Advanced Communication Technologies and Signal Processing (ACTS)最新文献

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Outage Performance of Hybrid Satellite-Aerial-Terrestrial Networks in the Presence of Interference 干扰下星-空-地混合网络的中断性能
Pub Date : 2021-12-15 DOI: 10.1109/ACTS53447.2021.9708132
Anuradha Verma, Deepika Gupta, P. Sharma
In this paper, we consider a hybrid satellite-aerial-terrestrial network (HSATN) where the dual-hop communication from a satellite to ground user equipment (UE) is aided by a static aerial relay in the presence of interference. Specifically, we consider multiple high altitude platforms (HAPs) located in a 3-dimensional spherical sector above the surface of earth as interferers to the aerial relay. Further, we consider a single low altitude platform (LAP) located in a cylindrical terrestrial small cell to which act as an interferer to ground UE. By assuming the shadowed-Rician fading for satellite/HAPs links, the Rician fading for aerial relay link, and Nakagami-m fading for LAP link, we derive the outage probability (OP) of first and second hops as well as the end-to-end satellite to ground UE transmissions. Further, we depict the impact of underlying system parameters on the OP of considered HSATN. We verify our analytical results through simulations.
在本文中,我们考虑了一种混合卫星-空中-地面网络(HSATN),其中在存在干扰的情况下,从卫星到地面用户设备(UE)的双跳通信由静态空中中继辅助。具体来说,我们考虑了位于地球表面以上三维球面扇区的多个高空平台(HAPs)对空中中继的干扰。此外,我们还考虑了位于圆柱形地面小基站中的单个低空平台(LAP),该平台对地面UE起到干扰作用。通过假设卫星/HAPs链路的阴影-专家衰落、空中中继链路的专家衰落和LAP链路的Nakagami-m衰落,我们推导出第一跳和第二跳以及端到端卫星到地面UE传输的中断概率(OP)。此外,我们描述了底层系统参数对所考虑的HSATN的OP的影响。我们通过仿真验证了我们的分析结果。
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引用次数: 0
Design of a Modified Tree-fractal Antenna for RFID Reader Applications 一种用于RFID阅读器的改进树形天线设计
Pub Date : 2021-12-15 DOI: 10.1109/ACTS53447.2021.9708216
Adyasa Priyadarsini Acharya, T. K. Das
This research paper describes the design of a modified tree-fractal antenna intended for RFID reader applications. The proposed planar antenna is linearly polarized and comprise of a tree-fractal shaped monopole radiator with a filleted ground plane. Simulation results indicate that the planar antenna exhibit a wider bandwidth (3.98 GHz – 8.6 GHz) with an omnidirectional radiation pattern. The overall dimension of the design i.e. 0.46λ × 0.36λ × 0.015λ (λ = wavelength at lowest cutoff frequency) shows that the proposed design is compact related to previously reported designs. With a peak realized gain of 3.6 dBi, the tree-fractal antenna is suitable for short-range RFID reader applications.
本文描述了一种用于RFID阅读器应用的改进的树形天线的设计。所提出的平面天线是线极化的,由具有圆角接平面的树形单极子辐射体组成。仿真结果表明,该平面天线具有较宽的带宽(3.98 GHz ~ 8.6 GHz)和全向辐射方向图。设计的总体尺寸为0.46λ × 0.36λ × 0.015λ (λ =最低截止频率下的波长),表明所提出的设计与先前报道的设计相比更加紧凑。树形天线的峰值实现增益为3.6 dBi,适用于近距离RFID阅读器应用。
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引用次数: 3
Development of a Hybrid Index and Number Modulation Scheme for OFDM Systems OFDM系统索引与数字混合调制方案的研究
Pub Date : 2021-12-15 DOI: 10.1109/ACTS53447.2021.9708135
K. N. Kumar, Shekhar Singh, P. M. Pradhan
In this paper, a hybrid index and number modulation (HINM) technique is proposed for enhancing energy efficiency and spectrum efficiency of orthogonal frequency division multiplexing (OFDM) system. It transmits additional data bits by varying the number of activated subcarriers and the indices of activated subcarriers with in an OFDM sub-block. A low complexity threshold based detector is also proposed which detects the subcarrier activation pattern, decodes information bits and demodulate the pulse amplitude modulation symbols. The bit error rate and spectral efficiency of the proposed OFDM-HINM scheme are analyzed using Monte Carlo simulation study. The proposed OFDM-HINM scheme offers lower bit error rate and higher throughput in comparison to OFDM-index modulation, OFDM-subcarrier number modulation, and classical OFDM with equivalent spectral efficiency and power at mid to high signal to noise ratio.
为了提高正交频分复用(OFDM)系统的能量效率和频谱效率,提出了一种指数数混合调制(HINM)技术。它通过在OFDM子块中改变激活子载波的数量和激活子载波的索引来传输额外的数据位。提出了一种基于低复杂度阈值的检测子载波激活模式、信息位解码和脉冲调幅符号解调的检测器。利用蒙特卡罗仿真研究分析了OFDM-HINM方案的误码率和频谱效率。与OFDM-指数调制、OFDM-子载波数调制和传统OFDM相比,该方案具有较低的误码率和较高的吞吐量,在中高信噪比下具有相当的频谱效率和功率。
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引用次数: 0
Design Of UWB Bow Tie Antenna For GPR Object Detection 用于探地雷达目标探测的超宽带蝴蝶结天线设计
Pub Date : 2021-12-15 DOI: 10.1109/ACTS53447.2021.9708073
H. Senapati, Prasun Chongder, K. K. Ajith, S. Maiti
Ground penetrating radar (GPR) being an ultrawide band (UWB) radar system, antenna plays a vital role in optimizing its RF transceiver performance. Bowtie antenna is very popularly used in GPR applications as it can satisfy the stringent requirements of a UWB antenna. This paper presents the design of a UWB bow-tie antenna satisfying wide band width of 450MHz to 2.3GHz without dissipative loading. The simulation has been carried out in HFSS v17, and the antenna has been fabricated and tested to verify the desired performance. The proposed antenna can be used for the UWB GPR system for the detection of buried objects.
探地雷达(GPR)是一种超宽带雷达系统,天线在优化其射频收发性能方面起着至关重要的作用。领结天线由于能够满足超宽带天线的严格要求,在探地雷达应用中得到了广泛的应用。本文设计了一种无耗散负载、满足450MHz ~ 2.3GHz宽带的超宽带领结天线。在HFSS v17中进行了仿真,并对天线进行了制作和测试,验证了预期的性能。该天线可用于超宽带探地雷达系统的地埋目标探测。
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引用次数: 2
A compact sectoral antenna with Dual band-reject characteristic using T- and Y-shaped strip 一种紧凑的扇形天线,采用T形和y形带,具有双阻带特性
Pub Date : 2021-12-15 DOI: 10.1109/ACTS53447.2021.9708139
D. Konhar, A. Behera, S. Mishra, D. Mishra
In this paper, a CPW-fed sectoral antenna is presented with a modified ground plane. The proposed antenna is compact with a size 15 × 12 × 0.8 mm3. Later, using T and curved Y-shaped strips WLAN (4.82 GHz ~ 5.22 GHz) and WiMAX (3.38 GHz ~ 4.08 GHz) bands are rejected. In both notch bands VSWR >>2 is observed. Parametric analysis is done to know the effect of strips used for band notch operation. An empirical formula relating to notch frequency and strip length is suggested. Ansys HFSS V.20 is used to design the proposed antenna.
本文提出了一种改进地平面的cpw馈电扇形天线。该天线尺寸为15 × 12 × 0.8 mm3,结构紧凑。后来,拒绝使用T形和弯曲y形条形的WLAN (4.82 GHz ~ 5.22 GHz)和WiMAX (3.38 GHz ~ 4.08 GHz)频段。在两个陷波带都观察到VSWR >>2。通过参数分析来了解用于带缺口操作的条带的影响。提出了缺口频率与带材长度关系的经验公式。采用Ansys HFSS V.20进行天线设计。
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引用次数: 0
Development of a Learning-aid tool using Hand Gesture Based Human Computer Interaction System 基于手势的人机交互系统辅助学习工具的开发
Pub Date : 2021-12-15 DOI: 10.1109/ACTS53447.2021.9708354
Bidyut Jyoti Boruah, A. K. Talukdar, K. K. Sarma
A hand gesture recognition system is a natural and simple way of communicating in today’s world. The development of teaching methods by using technology-dependent useful items to increase communication and interaction between the teacher and the student is a major part of today’s e-learning. In this paper, we have proposed an interactive learning-aid tool based on a vision-based hand gesture recognition system. The system uses MediaPipe for hand gesture recognition. The recognized hand gestures use a virtual-mouse-based object controlling system to control various virtual objects created using Unity. The system has been tested using six hand gestures and it is found that the system can be used effectively for controlling various virtual objects.
在当今世界,手势识别系统是一种自然而简单的交流方式。通过使用依赖于技术的有用项目来增加教师和学生之间的交流和互动的教学方法的发展是当今电子学习的主要组成部分。本文提出了一种基于视觉手势识别系统的交互式学习辅助工具。该系统使用MediaPipe进行手势识别。识别手势使用基于虚拟鼠标的对象控制系统来控制使用Unity创建的各种虚拟对象。通过六种手势对系统进行了测试,发现该系统可以有效地用于控制各种虚拟物体。
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引用次数: 6
ADMM based Deep Denoiser Prior for Enhancing Single Coil Magnitude MR images 基于ADMM的单圈磁共振图像深度去噪先验增强
Pub Date : 2021-12-15 DOI: 10.1109/ACTS53447.2021.9708111
Aneeta Christopher, R. Harikishan, P. Sudeep
Recently, deep learning methods are employed for image restoration tasks. An unsupervised learning technique is appropriate for many real time applications due to the scarcity of a large amount of data for training. The conventional deep image prior (DIP) is a CNN based denoiser prior that perform different image restoration tasks by using only a single degraded image. Alternating Direction Method of Multipliers (ADMM) framework over a standard sub-gradient method has already been proposed with DIP method. Inspired by this, we propose a variant of ADMM-DIP method for enhancing single coil magnitude magnetic resonance (MR) images. It is well known that the noise distribution in single coil magnitude MR images is stationary Rician. We achieve the Rician noise removal from single MR image by utilizing the combined effect of MSE, KL divergence and perceptual loss functions. Also, the attention guided dense upsampling network (AUNet) was engaged as the CNN denoiser prior. Our experiments on simulated MR images indicate a better performance of the proposed method. We evaluated different denoising methods both qualitatively and quantitatively.
最近,深度学习方法被用于图像恢复任务。由于缺乏大量的训练数据,无监督学习技术适用于许多实时应用。传统的深度图像先验(DIP)是一种基于CNN的去噪先验,仅使用单个退化图像执行不同的图像恢复任务。基于标准次梯度法的交替方向乘法器(ADMM)框架已经提出了DIP法。受此启发,我们提出了一种ADMM-DIP方法的变体,用于增强单线圈量级的磁共振(MR)图像。众所周知,单线圈级磁共振图像的噪声分布是平稳的。利用MSE、KL散度和感知损失函数的综合作用,实现了对单幅MR图像的去噪。采用注意力引导密集上采样网络(AUNet)作为CNN去噪先验。在模拟MR图像上的实验表明,该方法具有较好的性能。我们从定性和定量两方面评价了不同的去噪方法。
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引用次数: 1
A Miniaturized Super Wideband Microstrip Antenna 一种小型化超宽带微带天线
Pub Date : 2021-12-15 DOI: 10.1109/ACTS53447.2021.9708155
M. K. Shrivastava, P. Kumar
This paper presents a miniaturized microstrip antenna for Super Wide Band (SWB) (3–40 GHz) applications. The antenna consists of two asymmetrical annular rings where the first ring is connected to the feed line and the second ring is a gap coupled within the first ring. In addition to this, four stubs are connected with the antenna’s radiating element. To obtain the SWB, three circular slots are cut in the ground structure. The dimension of antenna is 16 mm × 16 mm × 1.6 mm. FR4 is used as dielectric material which has dielectric constant 4.4 and loss tangent 0.02. As the result shows the maximum gain of the antenna is 2.8 dBi. In case of VSWR ≤ 2, the bandwidth ratio and percentage bandwidth are 13.3:1 and 172%, respectively.
提出了一种用于超宽带(3 - 40ghz)应用的小型化微带天线。天线包括两个不对称环形环,其中第一环连接到馈线,第二环是耦合在第一环内的间隙。除此之外,四个短桩与天线的辐射元件相连。为了获得SWB,在地面结构上开三个圆槽。天线尺寸为16mm × 16mm × 1.6 mm。采用FR4作为介电材料,介电常数为4.4,损耗正切为0.02。结果表明,该天线的最大增益为2.8 dBi。当驻波比≤2时,带宽比为13.3:1,百分比带宽为172%。
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引用次数: 0
Adaptive Kernelized Subfilter Nonlinear AEC Algorithm 自适应核化子滤波非线性AEC算法
Pub Date : 2021-12-15 DOI: 10.1109/ACTS53447.2021.9708184
Srikanth Burra, Asutosh Kar
The acoustic echo canceller developed based on a linear echo path suffers performance degradation due to distortion induced by the electronic components in hands-free devices. Recently kernel-based approach is proposed to minimize the effects of distortion. Here, the distortion is modeled using the kernel method. However, there exists a scope to further enhance the performance of echo cancellers. In this work, we propose an improved variant of the kernel approach for enhancing the performance by maintaining a better trade-off between the rate of convergence and steady-state. Simulation results show that the proposed approach was able to perform better than the existing kernel method in minimizing the impact of the sigmoidal-based saturation distortion on the echo cancellation performance.
基于线性回波路径开发的声回波消除器由于免提设备中电子元件引起的失真而导致性能下降。最近提出了一种基于核的方法来最小化失真的影响。在这里,使用核方法对失真进行建模。但是,回波消除器的性能还有进一步提高的空间。在这项工作中,我们提出了一种改进的核方法,通过在收敛速度和稳态之间保持更好的权衡来提高性能。仿真结果表明,该方法在最大限度地减少基于s型模的饱和失真对回波抵消性能的影响方面优于现有的核方法。
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引用次数: 0
Reconstruction of Signals from their Blind Compressive Measurements 基于盲压缩测量的信号重构
Pub Date : 2021-12-15 DOI: 10.1109/ACTS53447.2021.9708321
V. Narayanan, G. Abhilash
This paper proposes a method to reconstruct a signal from its Blind Compressive measurements by formulating it as a constrained optimization problem. It considers two objective functions; one function to recover the sparse representation coefficients and the other function to estimate the signal ensuring the consistency with the given compressed measurements. The sparsifying basis is learned from the reconstructed signals using a probability based transform learning algorithm. The reconstruction of the signal, and the learning of the sparsifying basis are performed using an alternating optimization strategy. The high-frequency artifacts on the reconstructed signal are circumvented by applying total variation minimization. The convergence of the proposed algorithm which uniquely reconstructs the signal up to a practically acceptable lower bound on the estimation error is also established.
本文提出了一种从信号的盲压缩测量中重构信号的方法,将其表述为一个约束优化问题。它考虑两个目标函数;一个函数用于恢复稀疏表示系数,另一个函数用于估计信号,以确保与给定压缩测量值的一致性。利用基于概率的变换学习算法从重构信号中学习稀疏基。使用交替优化策略进行信号重建和稀疏基学习。利用总变差最小化的方法避免了重构信号上的高频伪影。本文还证明了该算法的收敛性,该算法可以唯一地重建信号,直至估计误差的实际可接受的下界。
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引用次数: 2
期刊
2021 Advanced Communication Technologies and Signal Processing (ACTS)
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