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Identification of Linear Time Invariant Systems Using FMCW Signals and Stretch Processing Receivers 利用FMCW信号和拉伸处理接收机识别线性时不变系统
S. Häfner, Reiner Thomä
The paper deals with the identification of linear time invariant (LTI) systems by a special observer. An observer emitting an frequency modulated continuous wave (FMCW) signal and having a stretch processor as receiver will be considered for system identification. A thorough derivation of the gathered baseband signal for arbitrary LTI systems will be given. It is shown, that the received signal is approximately given by the transfer function of the LTI system over the frequency sweep of the FMCW signal. The proof relies on an infinite large time-bandwidth product of the transmit signal, such that errors remain in practical applications with a finite time-bandwidth product. Monte–Carlo simulations are conducted to verify the approximation and to quantify its accuracy and remaining errors. The findings are important for e.g. calibration or derivation of a device model in FMCW radar applications.
研究了线性时不变(LTI)系统的特殊观测器辨识问题。发射调频连续波(FMCW)信号并具有拉伸处理器作为接收器的观测器将被考虑用于系统识别。将给出任意LTI系统的采集基带信号的彻底推导。结果表明,接收信号近似地由LTI系统在FMCW信号的频率扫描上的传递函数给出。该证明依赖于发射信号的无限大时间带宽乘积,因此在有限时间带宽乘积的实际应用中仍然存在误差。进行蒙特卡罗模拟以验证近似值,并量化其准确性和剩余误差。这些发现对于例如FMCW雷达应用中的设备模型的校准或推导是重要的。
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引用次数: 1
Evaluation of Simultaneous Speech Detection Based on MFCC-DTW with Two-Stage Normalization 基于MFCC-DTW的两阶段归一化语音检测的评价
Alexandru-George Rusu, Radu-Sebastian Marinescu, C. Burileanu, Dumitru Bica
In Air Traffic Control a serious safety risk is represented by undetected simultaneous transmissions from different airplanes. In this paper, we approach this issue through a speech analysis algorithm, which combines traditional Mel Frequency Cepstral Coefficients extraction, a new two-stage normalization and widely used Dynamic Time Warping. In this way, we were able to extend the simultaneous speech detection capability in Voice Communication Systems of Air Traffic Control. The results prove that this implementation is suitable for practical applications.
在空中交通管制中,来自不同飞机的未被检测到的同步传输代表着严重的安全风险。在本文中,我们通过一种语音分析算法来解决这个问题,该算法结合了传统的Mel频率倒谱系数提取,一种新的两阶段归一化和广泛使用的动态时间翘曲。通过这种方式,我们可以扩展空中交通管制话音通讯系统的同步语音检测功能。结果表明,该实现方法适合实际应用。
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引用次数: 0
Higher Control Scheme Using Neural Second Order Sliding Mode and ANFIS-SVM strategy for a DFIG-Based Wind Turbine 基于神经二阶滑模和anfiss - svm策略的dfig风力机高级控制方案
H. Benbouhenni, Z. Boudjema, A. Belaidi
In this paper, we propose an advanced control scheme using neural second order sliding mode (NSOSMC) and adaptive neuro-fuzzy inference system space vector modulation (ANFIS-SVM) strategy for a doubly fed induction generator (DFIG) integrated into a wind turbine system (WTS). The used hybrid control system composed of artificial intelligence techniques and second-order sliding mode applied to ensure better powers performances provided by the WTS. The obtained simulation results showed that the proposed control structure has active and reactive powers with low ripples and low stator current harmonic distortion.
在本文中,我们提出了一种使用神经二阶滑模(NSOSMC)和自适应神经模糊推理系统空间矢量调制(ANFIS-SVM)策略的高级控制方案,用于将双馈感应发电机(DFIG)集成到风力涡轮机系统(WTS)中。采用了由人工智能技术和二阶滑模组成的混合控制系统,以确保WTS提供更好的功率性能。仿真结果表明,该控制结构具有低纹波、低定子电流谐波失真的有功和无功功率。
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引用次数: 12
Performance Analysis of Translucent Space Division Multiplexing Based Elastic Optical Networks 基于半透明空分复用的弹性光网络性能分析
S. Iyer, Shree Prakash Singh
The required upgradation of the network capacity of the single-mode fiber which is constrained by the non-linear Shannon’s limit, and the capacity provisioning needed by the future diverse Internet traffic can be resolved by the adoption of the Space Division Multiplexing (SDM) based Elastic Optical Networks (EONs) (SDM-b-EONs). In the current work, we focus on the performance analysis of a SDM-b-EON in which translucent lightpaths are routed through the spectral super-channels over the spatial single-mode fiber(s) bundle(s) links. In regard to regeneration, we investigate three scenarios which differ in their regeneration variability level in addition to the adjustment of modulation formats according to transmission route characteristics. We conduct extensive simulations considering an online traffic case and two realistic network topologies with different numbers of (i) fibers in every link, and (ii) transceivers available within SDM-b-EON. The obtained results demonstrate that when regeneration is conducted with complete flexibility and simultaneously the modulation format conversion is also permitted at every SDM-b-EON node both, largest traffic volume amounts can be provisioned, and significant SDM-b-EON performance scaling can be obtained with a corresponding increase in the utilized fibers amount.
通过采用基于空分复用(SDM)的弹性光网络(EON)(SDM-b-EON),可以解决受非线性Shannon极限限制的单模光纤网络容量的升级需求,以及未来多样化互联网流量所需的容量供应。在目前的工作中,我们专注于SDM-b-EON的性能分析,其中半透明光路通过空间单模光纤束链路上的光谱超级通道进行路由。关于再生,我们研究了三种情况,除了根据传输路线特征调整调制格式外,它们的再生可变性水平也不同。我们进行了广泛的模拟,考虑到一个在线流量情况和两个现实的网络拓扑结构,其中(i)每个链路中的光纤数量不同,(ii)SDM-b-EON中可用的收发器数量不同。所获得的结果表明,当以完全的灵活性进行再生并且同时在每个SDM-b-EON节点处也允许调制格式转换时,可以提供最大的业务量,并且可以在利用的光纤量相应增加的情况下获得显著的SDM-b-EO性能扩展。
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引用次数: 0
Performance Evaluation of OOK, DPSK and Duo-binary Modulation Format based Mixed-Line-Rate (MLR) Optical Network 基于OOK、DPSK和双二进制调制格式的混合线率(MLR)光网络性能评估
R. Bajpai, S. Sengar, S. Iyer, Shree Prakash Singh
With the steady increase in the heterogeneous Internet traffic, the optical wavelength division multiplexed (WDM) networks based on a mixed line rate (MLR) strategy have emerged as an efficient-solution. Also, with the migration from the legacy to the higher line rate(s), the advanced modulation format(s) (MF) is/are required. However, use of appropriate MF(s) for the higher line rate(s) still remains an open problem. In this article, we compare the performance of an On-Off Keying (OOK), Differential Phase Shift Keying (DPSK) and Duo-binary (DB) MF based MLR network in the presence of various physical layer impairment(s) (PLIs) for which, we propose a mathematical model based on various MFs. As a novelty, we validate the proposed theoretical model’s results by comparing them with the results obtained through simulations from OptSim, which has not been conducted in any existing study(s) thus far. Our simulation results show that the DB MF is perfectly suitable for high spectral-efficient MLR systems owing to its high resistance to various PLIs.
随着异构互联网流量的稳步增长,基于混合线路速率(MLR)策略的光波分复用(WDM)网络已成为一种有效的解决方案。此外,随着从传统线路速率向更高线路速率的迁移,需要高级调制格式(MF)。然而,对于较高的线路速率使用适当的MF仍然是一个悬而未决的问题。在本文中,我们比较了基于开-关键控(OOK)、差分相移键控(DPSK)和双二进制(DB)MF的MLR网络在存在各种物理层损伤(PLI)的情况下的性能,为此,我们提出了一个基于各种MF的数学模型。作为一种新颖性,我们通过将所提出的理论模型的结果与OptSim的模拟结果进行比较来验证其结果,OptSim迄今为止尚未在任何现有研究中进行过模拟。我们的仿真结果表明,DB-MF由于其对各种PLI的高电阻,非常适合于高光谱效率的MLR系统。
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引用次数: 3
High Resolution Estimation of AoA, AoD and TdoA from MIMO Channel Sounding Measurements with Virtual Antenna Arrays: Maximum-Likelihood vs. Unitary Tensor-ESPRIT 基于虚拟天线阵列MIMO信道探测测量的AoA、AoD和TdoA的高分辨率估计:最大似然与酉张量ESPRIT
S. Haefner, R. Thoma
Estimating the parameters of a geometric propagation model from MIMO channel sounding measurements will be considered, which requires the solution of an inverse problem. Thus, a model of the measured data is derived, which incorporates a model of the measurement system as well as the parameters of interest. Based on the data model a maximum-likelihood estimator will be derived to infer the model parameters. Because virtual antenna arrays are considerer, formed by step-wise rotating directive antennas at transmitter and receiver side, the MIMO measurements are conducted in the beam-space. Hence, the data model can be described by a multidimensional convolution of the measurement system and the propagation channel. Based on the convolutional modelling, the parameter estimation problem is transformed into a harmonic retrieval problem, which can be solved by an Unitary Tensor-ESPRIT algorithm. The maximum-likelihood and ESPRIT estimator are compared by Monte-Carlo simulations according to their root-mean-square estimation error.
本文将考虑从MIMO信道测深测量中估计几何传播模型的参数,这需要求解一个逆问题。因此,导出了测量数据的模型,该模型包含了测量系统的模型以及感兴趣的参数。在数据模型的基础上,导出最大似然估计量来推断模型参数。由于考虑了由发射端和接收端逐步旋转的定向天线组成的虚拟天线阵列,MIMO测量在波束空间中进行。因此,数据模型可以用测量系统和传播通道的多维卷积来描述。在卷积建模的基础上,将参数估计问题转化为谐波恢复问题,用统一张量- esprit算法求解。根据最大似然估计器和ESPRIT估计器的均方根估计误差,通过蒙特卡罗模拟进行了比较。
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引用次数: 2
Hybrid Fuzzy Congestion Controllers for Computer Networks Tuned by Modified Particle Swarm Optimization 基于改进粒子群优化的计算机网络混合模糊拥塞控制器
Z. A. Karam
One of the most debated issues nowadays is the quality of computer network service. The best internet service must provide a fast processing of the traffic. Each router has a queue of packets that provides a buffer space, where the packets wait for processing. Transmission Control Protocol (TCP) is a packets congestion control theory. Active Queue Management (AQM) is a mechanisms proposed to employ at gateways to improve the performance of TCP congestion control. AQM mechanisms aim to provide high link utilization with low loss rate and low queuing delay while reacting to load changes quickly. Random Early Detection (RED) is an extensively studied AQM algorithm that can detect congestion by dropping packets randomly with certain probability that serves as the function of the average queue size. In this work, hybrids Fuzzy Logic Controllers (FLC) are proposed to measure the router queue size directly by use them as a congestion controllers. A multiple hybrid fuzzy controllers are proposed, where (Proportional Integral Derivative controller (PID) -like FLC-Particle Swarm Optimization (PSO) Based, Proportional Derivative (PD)-like FLC with conventional I-PSO Based and PID tuned by Fuzzy Logic-PSO Based), which is provided to regulate the queue length, round trip time and packet loss. The Particle Swarmed Optimization (PSO) algorithm is used for tuning the gains of hybrid fuzzy logic controller which helps in reducing the error of the queue size. This is achieved through minimizing the rise time, peak time, settling time and overshoot of the AQM response. The empirical results revealed a high-performance improvement regarding the proposed method in comparison to previous works of other researchers.
当今最具争议的问题之一是计算机网络服务的质量。最好的互联网服务必须提供对流量的快速处理。每个路由器都有一个数据包队列,该队列提供一个缓冲空间,数据包在其中等待处理。TCP (Transmission Control Protocol)是一种数据包拥塞控制理论。主动队列管理(Active Queue Management, AQM)是一种用于网关的机制,用于提高TCP拥塞控制的性能。AQM机制旨在提供高链路利用率、低丢包率和低排队延迟,同时对负载变化做出快速反应。RED (Random Early Detection)是一种被广泛研究的AQM算法,它通过随机丢包来检测拥塞,丢包的概率是平均队列大小的函数。本文提出混合模糊逻辑控制器(FLC)作为拥塞控制器,直接测量路由器队列大小。提出了一种多重混合模糊控制器,其中(类比例积分导数控制器(PID) -基于粒子群优化(PSO)),类比例导数控制器(PD)-基于传统的I-PSO和基于模糊逻辑-PSO的PID),用于调节队列长度、往返时间和丢包量。采用粒子群优化(PSO)算法对混合模糊控制器的增益进行调整,有助于减小队列大小的误差。这是通过最小化AQM响应的上升时间、峰值时间、稳定时间和超调来实现的。实证结果表明,与其他研究人员以前的工作相比,所提出的方法具有高性能的改进。
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引用次数: 8
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International Journal of Advances in Telecommunications Electrotechnics Signals and Systems
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