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The Digital Demodulation Module of Receiver Based on Ground Interrogator 基于地面询问机的接收机数字解调模块
Rong Yingjiao, Lu Wenfang
Based on the practical engineering application, it is realized the design of digital demodulation module of the receiver in the ground interrogator of a certain type secondary radar. The interrogator on the ground adopts a single-pulse direction measurement receiver with amplitude comprised system, separating the RF interrogation signal from transmitter into Σ interrogation signal and Δ control signal. In this paper, the design of the module is on Σ signal and Δ signal from receiver for a series of digital demodulation operation, testing and translating the coded values of the power level of the response signals.
结合实际工程应用,实现了某型二次雷达地面询问机接收机数字解调模块的设计。地面询问机采用单脉冲测向接收机,采用幅度组成系统,将射频询问信号从发射机分离为Σ询问信号和Δ控制信号。本论文设计的模块是对Σ信号和Δ信号进行一系列的数字解调运算,测试并转换响应信号的功率电平的编码值。
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引用次数: 0
Performance-enhancement ACO-FOFDM Scheme with DCT-spread Technique for OWC 基于dct扩散技术的性能增强ACO-FOFDM OWC方案
Tiantian Zhang, Yaojun Qiao, Zhenshan Zhang, Ji Zhou, Yueming Lu, Fei Su
In this paper, we propose a performance-enhancement asymmetrically clipped optical fast orthogonal frequency-division multiplexing (ACO-FOFDM) with discrete cosine transform-spread (DCT-S) technique for peak-to-average power ratio (PAPR) reduction and high-frequency attenuation mitigation in OWC system. At a probability of 10−3, the PAPR of the proposed scheme is approximately 3.8 dB and 2.8 dB lower than that of conventional ACO-FOFDM with binary phase-shift keying and 4-ary pulse-amplitude modulation, respectively. The numerical simulation results validate that, benefiting from the resistance of nonlinear clipping and high-frequency distortion in the OWC system, the proposed ACO-FOFDM with DCT-S technique can achieve a significant superiority of performance compared to its counterpart, which shows the great potential for OWC.
在本文中,我们提出了一种性能增强的非对称裁剪光学快速正交频分复用(ACO-FOFDM)与离散余弦变换-扩展(DCT-S)技术,用于OWC系统的峰均功率比(PAPR)降低和高频衰减缓解。在10−3的概率下,该方案的PAPR分别比传统的二元相移键控和四元脉冲幅度调制的ACO-FOFDM低约3.8 dB和2.8 dB。数值仿真结果验证了基于DCT-S技术的ACO-FOFDM在OWC系统中具有抗非线性削波和抗高频失真的性能优势,显示了OWC的巨大潜力。
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引用次数: 0
A D2D-based Delay Optimization Method in VANET 基于d2d的VANET延迟优化方法
Yinze Zhao, Lingyun Jiang
In vehicular ad-hoc network (VANET), the standardized protocol currently is IEEE 802.11p. To reduce the end-to-end delays including store-and-catch-up (SAC) and channel access competition delays generated by IEEE 802.11p, in this paper device-to-device (D2D) communication over the cellular band is introduced, then a hybrid system combined D2D and IEEE 802.11p is proposed, finally a D2D spectrum allocation algorithm based on the hybrid system is present. Simulation results demonstrate the superiority of the proposed algorithm under different scenarios and parameter settings.
在车载自组织网络(VANET)中,目前的标准化协议是IEEE 802.11p。为了减少IEEE 802.11p产生的端到端延迟,包括存储-追赶(SAC)延迟和信道接入竞争延迟,本文引入了蜂窝频段上的设备对设备(D2D)通信,然后提出了一种将D2D与IEEE 802.11p相结合的混合系统,最后给出了一种基于混合系统的D2D频谱分配算法。仿真结果证明了该算法在不同场景和参数设置下的优越性。
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引用次数: 0
Numerical Model of Fractional Nonlinear Schrödinger Equation for the Light Propagation in Optical Fibers 光纤中光传播的分数阶非线性Schrödinger方程的数值模型
Lingjun Yang, Aiying Yang, Peng Guo
In this paper, we use the Crank-Nicolson (CN) difference scheme for the pulse transmission equation in fiber with the Riesz space fractional derivative to obtain the fractional nonlinear Schrodinger equations. We compare fractional Fourier transformation (FrFT) and fractional nonlinear Schrödinger equation (FNSE) for optical fiber communications with single pulse signal and multiple pulse signal. We find that the shape and peak value of NRZ-OOK single pulse signal processed by FrFT and FNSE are similar. And the numerical model of FNSE and FrFT used to calculate cumulative(CD) dispersion have a certain relationship.
本文利用Riesz空间分数阶导数的光纤脉冲传输方程的Crank-Nicolson差分格式,得到分数阶非线性薛定谔方程。比较了单脉冲信号和多脉冲信号下光纤通信的分数阶傅里叶变换(FrFT)和分数阶非线性Schrödinger方程(FNSE)。我们发现,经FrFT和FNSE处理的NRZ-OOK单脉冲信号的形状和峰值是相似的。用于计算累积色散的FNSE数值模型与FrFT有一定的关系。
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引用次数: 0
Implementation and Research of Load Balancing Service on Cloud Computing Platform in IPv6 Network Environment IPv6网络环境下云计算平台负载均衡服务的实现与研究
Zhidong Chen, Hailong Zhang, Jinyao Yan, Yuan Zhang
As a popular cloud platform in open source, OpenStack combines computing, networking and storage components to provide a complete IaaS solution. Based on the IPv6 environment, this paper builds an OpenStack cloud platform on the server and creates a network load balancer based in Neutron. When the amount of user access increases, the load balancer can distribute traffic based on different load balancing algorithms, thereby improving the reliability of the cloud computing platform. This paper improves the traditional Weighted Round robin algorithm, and simulates a large number of users through JMeter to access the virtual server in the cloud platform. The results show that the network load balancing algorithms have obvious positive effects. We further measure the performance of different load balancing algorithms, and prove that the improved algorithm works better.
作为开源领域的热门云平台,OpenStack将计算、网络和存储组件结合在一起,提供完整的IaaS解决方案。本文基于IPv6环境,在服务器端搭建OpenStack云平台,并基于Neutron创建网络负载均衡器。当用户访问量增加时,负载均衡器可以根据不同的负载均衡算法进行流量分配,从而提高云计算平台的可靠性。本文对传统的加权轮询算法进行改进,通过JMeter模拟大量用户访问云平台中的虚拟服务器。结果表明,网络负载均衡算法具有明显的积极效果。我们进一步测量了不同负载均衡算法的性能,并证明改进后的算法效果更好。
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引用次数: 1
Constructing Small Worlds in WSNs with UAV Trajectory Optimization 基于无人机轨迹优化的wsn小世界构建
Jiewen Li, Li Guo, Chao Dong
Wireless Sensor Networks (WSN) are composed of multiple sensors with sensing, computing, and wireless communication capabilities. Small-world features are the very important discovery in networks. This paper proposes that combination of the Unmanned Aerial Vehicles (UAV) and WSN can save the energy consumption and improve network lifetime, because of the UAVs' flexibility and their excellent air channel quality. This paper shows the method that adding the UAV can transform the ordinary WSN into WSN with small world characteristics. Then according to the distribution of sensor nodes, an improved method is designed to optimize the flight path of the UAV. The results show that both the original path and the optimized path can make the WSN have the small-world characteristics, and the energy consumption of each node in the network decreases significant. The problem of uneven energy consumption in the network is also solved.
无线传感器网络(WSN)由多个具有传感、计算和无线通信能力的传感器组成。小世界特征是网络中非常重要的发现。本文提出将无人机与无线传感器网络相结合,利用无人机自身的灵活性和良好的空气通道质量,可以节省网络能耗,提高网络寿命。本文介绍了加入无人机的方法,将普通的传感器网络转化为具有小世界特征的传感器网络。然后根据传感器节点的分布,设计了一种改进的无人机飞行路径优化方法。结果表明,原始路径和优化路径均能使WSN具有小世界特性,且网络中各节点的能耗显著降低。解决了电网能耗不均匀的问题。
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引用次数: 1
A Novel User Sleep Information Monitoring System Based on Non-contact Mattress 一种基于非接触式床垫的用户睡眠信息监测系统
Weijin Chen, Qingfeng Zhou, Xusheng Cheng, Min Peng, Lei Xu
With the improvement of living standard, people pay more and more attention to their health. The detection of sleep information has always been a hotspot in both the academic and industrial area. However, traditional sleep monitoring systems need to bundle devices on users, which in return negatively affects the user experience. Observing this, in order to eliminate the outside restriction of the wearing devices, we design a novel user sleep information monitoring system based on the Non-contact mattress. In particular, the novel system realizes the entire process from the design of hardware device to the software development which includes ceramic piezoelectric sensor data acquisition, WiFi module upload data, the host computer processing data functions and user information display. The experimental results show that the novel system can accurately obtain the physiological information of human body under sleep condition.
随着生活水平的提高,人们越来越注重身体健康。睡眠信息的检测一直是学术界和工业界关注的热点。然而,传统的睡眠监测系统需要将设备捆绑在用户身上,这反过来会对用户体验产生负面影响。观察到这一点,为了消除佩戴设备的外部限制,我们设计了一种基于非接触式床垫的新型用户睡眠信息监测系统。特别是,该系统实现了从硬件设备设计到软件开发的全过程,包括陶瓷压电传感器数据采集、WiFi模块上传数据、上位机处理数据功能和用户信息显示。实验结果表明,该系统能够准确地获取人体在睡眠状态下的生理信息。
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引用次数: 3
Feature Extraction Method for Loudspeaker Abnormal Sound Based on EEMD and Sample Entropy 基于EEMD和样本熵的扬声器异常声特征提取方法
Qiaochu Fang, Jinglei Zhou, Tinghu Yan
To classify the loudspeaker abnormal sound more accurately, a feature extraction method is proposed in this paper, in which ensemble empirical mode decomposition (EEMD) and sample entropy are used for feature extraction. Support vector machine (SVM) is used to verify the effectiveness of the proposed method. After preprocessing of fundamental notching, the loudspeaker response is decomposed using EEMD. The intrinsic mode function (IMF) components are selected with correlation analysis and their sample entropy values are calculated to structure the feature vectors. Focused on the classification for loudspeaker abnormal sound with small sample condition, the experiment results have shown that SVM can classify accurately for loudspeaker abnormal sound, and more accurate than SVM using wavelet packets and sample entropy, moreover it achieved 95.33% classification accuracy.
为了更准确地对扬声器异常声进行分类,本文提出了一种特征提取方法,该方法利用集合经验模态分解(EEMD)和样本熵进行特征提取。利用支持向量机(SVM)验证了该方法的有效性。在对基本陷波进行预处理后,利用EEMD对扬声器响应进行分解。通过相关分析选择本征模态函数(IMF)分量,计算其样本熵值,构建特征向量。以小样本条件下的扬声器异常声分类为研究对象,实验结果表明,支持向量机对扬声器异常声的分类精度高于基于小波包和样本熵的支持向量机,分类准确率达到95.33%。
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引用次数: 1
GMBO: A New Shadowing Fading Modeling Method with Correlative Features for Wireless Body Area Network under Human Moving Conditions GMBO:一种具有相关特征的人体区域无线网络阴影衰落建模新方法
Yali Wang, Fan Wu, Rong Chen
Wireless body area network can provide e-health medical, athletic and entertainment services which has used in business applications widely. However, there exists serious shadowing fading of wireless transmission with correlative features brought by human movements which has reduced service quality and user experiences obviously. In order to research the correlative characters of wireless links in WBAN under moving conditions, a new shadowing fading modeling method named GMBO(geometrical method of body occlusion) for human body area is proposed. GMBO has two orthogonal planes one of which is for arm waving and the other of which is for torso in the coordinate system. Then the occlusion distant of wireless links in human body can be calculated in GMBO way based on the loss field theory. Both the occlusion factor of shadowing fading and correlative coefficient among wireless links can be calculated and quantitatively analyzed. This work make crucial sense for the assessment of channel capacity, outage probability and relay selection of cooperative communication in WBAN.
无线体域网络可以提供电子健康、医疗、运动和娱乐等服务,在商业应用中得到了广泛的应用。然而,人体运动带来的相关特征无线传输存在严重的阴影衰落,明显降低了服务质量和用户体验。为了研究移动条件下WBAN无线链路的相关特性,提出了一种新的人体区域阴影衰落建模方法GMBO(geometric method of body occlusion)。GMBO在坐标系中有两个正交平面,一个用于手臂挥舞,另一个用于躯干。然后基于损失场理论,用GMBO方法计算人体无线链路的遮挡距离。可以计算和定量分析无线链路间阴影衰落的遮挡系数和相关系数。该工作对WBAN协同通信的信道容量评估、中断概率和中继选择具有重要意义。
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引用次数: 1
A Friction Compensation Algorithm Based on Sliding Mode Control 基于滑模控制的摩擦补偿算法
Zhao Rui, Yang Jianhong
Aiming at the problems caused by nonlinear friction on precision optical servo platform at low speed, a novel sliding mode control (SMC) algorithm with adaptive gains is studied. Integral term is introduced to design sliding surface, and the Twisting control (TC) algorithm based on the idea of higher-order SMC is selected as the switching control law. Nonlinear gradient gains are proposed originally to solve the chattering problem of conventional TC. Then, Anti-windup method is particularly taken into consideration. Simulation results show that the proposed SMC algorithm can effectively compensate the adverse effect of friction on the system control performance at low speed, and in compare with PI algorithm and conventional TC, it achieves faster response, higher accuracy and stronger robustness.
针对精密光学伺服平台低速非线性摩擦问题,研究了一种具有自适应增益的滑模控制算法。将积分项引入滑动面设计,选择基于高阶SMC思想的扭转控制算法作为切换控制律。非线性梯度增益是为了解决传统TC的抖振问题而提出的。然后,特别考虑了反上弦方法。仿真结果表明,所提出的SMC算法能有效补偿低速时摩擦对系统控制性能的不利影响,与PI算法和常规TC算法相比,具有更快的响应速度、更高的精度和更强的鲁棒性。
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引用次数: 0
期刊
Proceedings of the 2nd International Conference on Telecommunications and Communication Engineering
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