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2015 International Conference on Advanced Technologies for Communications (ATC)最新文献

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A method to implement interference avoidance based MIMO-GFDM using spatial modulation 一种利用空间调制实现MIMO-GFDM的抗干扰方法
Pub Date : 2015-10-01 DOI: 10.1109/ATC.2015.7388394
J. Datta, Hsin-Piao Lin, D. Lin
Generalized Frequency Division Multiplexing (GFDM) is a recently proposed multicarrier waveform which is being considered as one of the possible candidates for 5G wireless access technology. Key advantages of GFDM are flexibility and low spectral side-lobes which render it the ability of carrier aggregation and reduced adjacent channel interference. However due to its non-orthogonal nature GFDM suffers from the problem of self-inter-carrier interference (self-ICI) which occurs between time-slots of adjacent subcarriers in the signal. Due to self-ICI, the bit-error rate (BER) performance of GFDM is severely affected under low SNR regime. Moreover application of MIMO technique to GFDM further adversely affects the BER due to inter-antenna interference (IAI) between the transmit antennas. To mitigate this problem, spatial modulation has been applied to GFDM and its BER performance with respect to V-BLAST based GFDM is studied under flat Rayleigh fading channel condition through computer simulations.
通用频分复用(GFDM)是最近提出的一种多载波波形,被认为是5G无线接入技术的可能候选技术之一。GFDM的主要优点是灵活性和低谱旁瓣,这使得它具有载波聚集和减少相邻信道干扰的能力。然而,由于其非正交特性,GFDM存在自载波间干扰(self-ICI)问题,这种干扰发生在信号中相邻子载波的时隙之间。在低信噪比条件下,由于自ici的存在,严重影响了GFDM的误码率性能。此外,MIMO技术在GFDM中的应用,由于发射天线之间的天线间干扰(IAI),进一步对误码率产生不利影响。为了解决这一问题,将空间调制应用于GFDM,并通过计算机仿真研究了在平坦瑞利衰落信道条件下,基于V-BLAST的GFDM的误码率性能。
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引用次数: 7
3-D multi-frequency antenna for RF energy harvesting application 用于射频能量采集的三维多频天线
Pub Date : 2015-10-01 DOI: 10.1109/ATC.2015.7388398
D. H. N. Bui, T. Vuong, J. Verdier, B. Allard, P. Benech
The evolution of wireless communications requires the development of long-life or sustainable power sources. One method currently receiving increasing attention in current literature, compared to other energy solutions, is the application of Radio-frequency (RF) energy as an alternative energy source for low-power devices. The presence of various wireless services makes a challenge to this technology with respect to the design of multiband antennas. A 3-D multi-band antenna with adaptive form is designed purpose of integration in available circuits without changing their form and characteristics and also to scale down the antenna size. The current study presents a novel efficient antenna for the reception of ambient RF energy from cellular network frequency bands and Wi-Fi sources simultaneously. The antenna operates in five bands of frequency including GSM 1800MHz, UMTS 2100MHz, WLAN 2.4GHz, WLAN 5.2GHz and WLAN 5.8GHz. The volume of antenna is small, 55mm×25mm×15mm. The simulation and measurement results of the proposed design are consistent with an omnidirectional pattern, a satisfying gain around 2dBi and high efficiency over 96%.
无线通信的发展需要开发长寿命或可持续的电源。与其他能源解决方案相比,当前文献中越来越关注的一种方法是应用射频(RF)能量作为低功率设备的替代能源。各种无线服务的出现对多波段天线的设计提出了挑战。设计了一种具有自适应形式的三维多波段天线,目的是在不改变现有电路的形式和特性的情况下集成到现有电路中,并缩小天线尺寸。目前的研究提出了一种新的高效天线,用于同时接收来自蜂窝网络频段和Wi-Fi源的环境射频能量。该天线在五个频段工作,包括GSM 1800MHz, UMTS 2100MHz, WLAN 2.4GHz, WLAN 5.2GHz和WLAN 5.8GHz。天线体积小,55mm×25mm×15mm。仿真和测量结果表明,该设计符合全向方向,增益在2dBi左右,效率在96%以上。
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引用次数: 4
Label tree based image classification using sum match kernel 基于和匹配核的标签树图像分类
Pub Date : 2015-10-01 DOI: 10.1109/ATC.2015.7388373
Tien-Dung Mai, H. Kiem
The label tree-based classification is one of the most popular approaches for reducing the testing complexity to sublinear with the large number of classes. One of the popular approaches to generate the label tree is to apply recursively a spectral clustering algorithm to an affinity matrix for partition set of class labels into subsets, each subset corresponds to a child node of the tree. To obtain the affinity matrix from confusion matrix, a set of N binary one-versus-all classifiers is trained and applied on validation set, where N is number of classes. However, these approaches are not reliable when there are a large number of classes because it is too costly to train these classifiers. Furthermore, the affinity matrix could not reflect the real similarity among classes due to the classification accuracy can be low. In addition, the resulting label tree may not be balanced due to the objective function of spectral clustering penalizes unbalanced partitions. In this paper, to achieve better similarity measurement between classes and without using one-versus-all classifiers, we adopt the sum match kernel to get similarity matrix. Moreover, we propose a heuristic for learning balanced tree structure by adjusting the number of class labels in clusters after the spectral clustering is done. The experimental results on benchmark datasets SUN-397 and Caltech-256 show that the performance of the proposed approach outperforms significantly the other approaches.
基于标签树的分类是将大量类的测试复杂度降低到亚线性的最流行的方法之一。一种常用的生成标签树的方法是递归地应用谱聚类算法对类标签集的关联矩阵进行划分,每个子集对应于树的一个子节点。为了从混淆矩阵中得到亲和矩阵,训练了一组N个二元单对全分类器,并将其应用于验证集,其中N为类数。然而,当有大量的类时,这些方法并不可靠,因为训练这些分类器的成本太高。此外,由于分类精度较低,亲和性矩阵不能反映类之间的真实相似度。此外,由于谱聚类的目标函数会惩罚不平衡的分区,因此生成的标签树可能不平衡。在本文中,为了更好地实现类之间的相似性度量,并且不使用单对全分类器,我们采用和匹配核来获得相似矩阵。此外,我们提出了一种启发式算法,在谱聚类完成后,通过调整聚类中类标签的数量来学习平衡树结构。在SUN-397和Caltech-256基准数据集上的实验结果表明,该方法的性能明显优于其他方法。
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引用次数: 1
Robust fingerprint-based indoor positioning with multi-frequency signal analysis 基于多频信号分析的鲁棒指纹室内定位
Pub Date : 2015-10-01 DOI: 10.1109/ATC.2015.7388314
Shuhei Yamaguchi, Daisuke Arai, T. Ogishi
Recently, high-precision indoor positioning has become an important technology in the O2O (online-to-offline) services. In indoor positioning method, fingerprinting is better than trilateration in that it is possible to avoid problems that are not effectively applied to indoor wireless attenuation model. Fingerprinting compares the radio propagation condition that is measured at the time of positioning with the set of radio propagation conditions that are measured in initial training, and estimates the position according to its similarity. However, since radio waves are superimposed by the reflection of the walls and floors in the indoor environment, positioning accuracy decreases when the layout of the environment is changed after creation of the initial training data. To solve this problem, we propose a method to infer whether some obstacle exists between each pair of transmitter and receiver by principal component analysis of RSSI (Received Signal Strength Indicator) of multi-frequency, to detect LOS (Line-of-Sight)-shielded transmitters and to eliminate them from calculation for positioning. Comparing with existing method on typical fingerprinting, our method improved up to 31% on robustness.
近年来,高精度室内定位已成为O2O(线上到线下)服务中的一项重要技术。在室内定位方法中,指纹识别优于三边定位,可以避免在室内无线衰减模型中无法有效应用的问题。指纹识别将定位时测量到的无线电传播条件与初始训练时测量到的一组无线电传播条件进行比较,并根据相似性估计位置。然而,由于无线电波是室内环境中墙壁和地板反射的叠加,因此在初始训练数据创建后,当环境布局发生变化时,定位精度会降低。为了解决这一问题,我们提出了一种通过多频接收信号强度指标(RSSI)的主成分分析来推断每对收发机之间是否存在障碍物的方法,从而检测出视距屏蔽发射机,并将其从定位计算中剔除。与现有的典型指纹识别方法相比,该方法的鲁棒性提高了31%。
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引用次数: 0
Estimation of voltage parameters for grid-connected inverters 并网逆变器电压参数的估计
Pub Date : 2015-10-01 DOI: 10.1109/ATC.2015.7388403
T. Q. Tho, T. V. Anh, L. M. Phương
The power quality of grid-connected inverters depends much on voltage parameters estimated by phase-locked loops. This paper proposes a robust technique for fast and accurate estimation of fundamental parameters of single-phase grid voltage under harmonics. The proposed technique bases on the least squares method using Levenberg-Marquardt algorithm to estimate the parameters of grid voltage. This does not base on interdependent loops offering stability and easy estimating process. It can also reject the negative effects caused by the presence of the dc offset as well as the harmonics. The simulation results in MATLAB/Simulink validated the robustness and accuracy of the proposed technique compared to the phase locked-loop basing on a second-order generalized integrator (QSG-SOGI).
并网逆变器的电能质量在很大程度上取决于锁相环估计的电压参数。本文提出了一种快速准确估计谐波作用下单相电网电压基本参数的鲁棒方法。该方法基于最小二乘法,利用Levenberg-Marquardt算法对电网电压参数进行估计。这不是基于相互依赖的循环,提供稳定性和简单的评估过程。它还可以抑制由直流偏置和谐波引起的负面影响。与基于二阶广义积分器(QSG-SOGI)的锁相环相比,MATLAB/Simulink仿真结果验证了该方法的鲁棒性和准确性。
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引用次数: 1
Forecasting of consumer price index using the ensemble learning model with multi-objective evolutionary algorithms: Preliminary results 基于多目标进化算法的集成学习模型的消费者物价指数预测:初步结果
Pub Date : 2015-10-01 DOI: 10.1109/ATC.2015.7388346
Dinh Thi Thu Huong, Vũ Văn Trường, Bùi Thu Lâm
Time series forecasting is paid a considerable attention of the researchers. At present, in the field of machine learning, there are a lot of studies using an ensemble of artificial neural networks to construct the model for time series forecasting in general, and consumer price index (CPI) forecasting, in particular. However, determining the number of members of an ensemble is still debatable. This paper proposes the way of constructing a model for CPI forecasting and designing a multi-objective evolutionary algorithm in training neural networks ensembles in order to increase the diversity of the population. Two objectives of the training problem include: Mean Sum of Squared Errors and diversity. We experimented the model on three data sets and compared methods. The experimental results showed that the proposed model produced better in investigated cases.
时间序列预测一直是研究人员非常关注的问题。目前,在机器学习领域,有很多研究使用人工神经网络的集合来构建时间序列预测模型,特别是消费者价格指数(CPI)预测。然而,确定一个乐团成员的数量仍然存在争议。本文提出了构建CPI预测模型和设计多目标进化算法训练神经网络集合的方法,以增加种群的多样性。训练问题的两个目标包括:误差平方和和多样性。我们在三个数据集上对模型进行了实验,并比较了各种方法。实验结果表明,所提出的模型在实际应用中具有较好的效果。
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引用次数: 2
A direct sampling receiver for communication of DCSK systems over flat fading channels 一种用于DCSK系统在平坦衰落信道上通信的直接采样接收机
Pub Date : 2015-10-01 DOI: 10.1109/ATC.2015.7388397
Nguyen Huu Long, N. X. Quyen, V. V. Yem
In this paper, we propose a direct sampling receiver which can exploit multipath characteristic of flat fading channels to improve Bit Error Rate (BER) performance of Differential Chaos-Shift Keying (DCSK) systems. Structure of the proposed receiver consists of a conventional correlator-type receiver and an oversampling block at the input. This oversampling helps the receiver to specifically determine the delayed-signal components from the channel, which can be combined together in order to increase the ratio of signal-to-noise (SNR) at the output. Discrete-time models for the conventional transmitter, flat Rayleigh fading channel with delay paths as well as the proposed receiver are built and described in detail. Dependence of BER performance on typical parameters of the system, i.e., ratio of Eb/N0, number of delay paths, spreading factor, number of samples per chip, fading coefficients, and path delays, are determined by means of numerical simulations. Interestingly, obtained results point out that the system performance is significantly improved when the number of delay paths increases.
本文提出了一种利用平坦衰落信道的多径特性来提高差分混沌移位键控系统误码率的直接采样接收机。所提出的接收机结构由传统的相关器型接收机和输入端的过采样块组成。这种过采样有助于接收器明确地确定来自信道的延迟信号分量,这些分量可以组合在一起,以提高输出端的信噪比(SNR)。建立并详细描述了传统发射机、具有延迟路径的平坦瑞利衰落信道以及所提出的接收机的离散时间模型。通过数值模拟确定了误码率性能与系统典型参数(即Eb/N0比、延迟路径数、扩展因子、每片采样数、衰落系数和路径延迟)的依赖关系。有趣的是,得到的结果表明,当延迟路径数量增加时,系统性能得到显著提高。
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引用次数: 1
Rapid convergent iterative solver for computing two-dimensional random rough surface scattering 二维随机粗糙表面散射计算的快速收敛迭代解
Pub Date : 2015-10-01 DOI: 10.1109/ATC.2015.7388407
V. Pham-Xuan, Dung Trinh-Xuan, M. Condon, C. Brennan
A novel technique is proposed to greatly enhance the convergence property of stationary iterative solvers applied for the solution of scattering from two-dimensional random rough surfaces. The proposed method extends the standard improvement step to enable the use of multiple correction vectors, leading to a significantly improved convergence rate of stationary iterative methods with negligible increases in computational complexity. Spectral acceleration technique is also applied to reduce a computational burden and storage requirements. Numerical results are shown to demonstrate the advantages of the proposed technique.
提出了一种新的方法,大大提高了求解二维随机粗糙表面散射问题的平稳迭代解的收敛性。该方法扩展了标准改进步骤,允许使用多个校正向量,从而显著提高了平稳迭代方法的收敛速度,而计算复杂度的增加可以忽略不计。谱加速技术也用于减少计算负担和存储要求。数值结果表明了该方法的优越性。
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引用次数: 2
An early flood detection system using mobile networks 使用移动网络的早期洪水探测系统
Pub Date : 2015-10-01 DOI: 10.1109/ATC.2015.7388400
Hung Ngoc Do, Minh-Thanh Vo, Van-Su Tran, Phuoc Vo Tan, Cuong Viet Trinh
In this paper, an early flood warning system has been studied and developed. The system consists of an early flood warning station powered by solar energy, a monitoring center, and a notification system. The flood warning station is equipped with the water level sensor and the precipitation sensor. The data, which is received from sensors, will be stored in memory card and transmitted to monitoring center via GPRS protocol. The functions of monitoring center are to receive, analyse data from the stations and send results to notification system where warning can be generated to the considered residential areas. The warning levels of flood can be set up easily by using the buttons in the circuit board or by using the SMS message from user's mobile phone. A website was also created to display the river water level, rainfall and the predicted information for the next few hours.
本文研究开发了一套洪水预警系统。该系统由太阳能供电的早期洪水预警站、监测中心和通知系统组成。洪水预警站配有水位传感器和降水传感器。从传感器接收到的数据将存储在存储卡中,并通过GPRS协议传输到监控中心。监测中心的功能是接收和分析来自监测站的数据,并将结果发送到通知系统,该系统可以向考虑的住宅区发出警告。通过使用电路板上的按钮或使用用户移动电话的短信,可以轻松设置洪水警报级别。还建立了一个网站,显示未来几小时的河水水位、降雨量和预测信息。
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引用次数: 16
A spatial modulation scheme with full diversity for four transmit antennas 具有全分集的四个发射天线的空间调制方案
Pub Date : 2015-10-01 DOI: 10.1109/ATC.2015.7388310
Tien-Dong Nguyen, X. Tran, Vu-Duc Ngo, Minh-Tuan Le
In this paper, we propose a Spatial Modulation (SM) with full diversity for 4 transmit antennas, called DS-SM, by designing SC codewords and incorporating them with a Diagonal Space Time Block Code. Similar to the conventional SM scheme, the proposed scheme only activates an antenna element at a time for signal transmission. However, it is different from the conventional SM in that it is able to achieve full diversity. In order to attain low detection complexity, an ML detector based on sphere decoding is presented. Computer simulation shows that the proposed DS-SM scheme outperforms some existing STBC-SM techniques in terms of both bit error rate (BER) performance and effective throughput.
在本文中,我们通过设计SC码字并将其与对角时空分组码结合,提出了一种适用于4个发射天线的全分集空间调制(SM),称为DS-SM。与传统的SM方案相似,该方案每次只激活一个天线单元进行信号传输。然而,与传统的SM不同的是,它能够实现充分的多样性。为了降低检测复杂度,提出了一种基于球面解码的机器学习检测器。计算机仿真结果表明,所提出的DS-SM方案在误码率(BER)性能和有效吞吐量方面都优于现有的STBC-SM技术。
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引用次数: 3
期刊
2015 International Conference on Advanced Technologies for Communications (ATC)
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