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2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings最新文献

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Distorted exponential signal analyser based on modified prony-like method 基于改进类prony方法的失真指数信号分析
D. L. Carní, G. Fedele, D. Grimaldi, F. Lamonaca
The distorted exponential signal can be decomposed on exponential components with different amplitudes and time constants. Under the hypothesis to model this signal by multi exponential function, different algorithms were pointed out to extract the distortion parameters. In the paper is proposed an algorithm that takes into analysis real exponential signal affected by quantization noise, offset and other non-idealities that cannot be modelled by multi-exponential function. Based on the feature of this algorithm that overcomes the limits of that proposed in literature, the distorted exponential signal analyser is pointed out. It works without constrains on the distortion characteristics and without a priori knowledge. Numerical and experimental tests are performed to assess the correctness and the accuracy of the proposed analyser.
失真指数信号可以用不同幅度和时间常数的指数分量进行分解。在用多指数函数对该信号建模的假设下,提出了提取畸变参数的不同算法。本文提出了一种分析受量化噪声、偏置和其他不能用多指数函数建模的非理想影响的实指数信号的算法。基于该算法克服了现有算法的局限性,指出了失真指数信号分析器的存在。它不受失真特性的限制,也不需要先验知识。进行了数值和实验测试,以评估所提出的分析仪的正确性和准确性。
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引用次数: 1
Simple interference detection and classification for industrial Wireless Sensor Networks 工业无线传感器网络的简单干扰检测与分类
E. Sisinni, Stefano Caiola, A. Flammini, M. Gidlund, Filip Barac
Wireless Sensor Networks (WSNs) are increasingly deployed in office blocks, residential areas and also industrial locations, thanks to advantages in terms of flexibility and scalability. Nowadays available wireless fieldbuses are widely adopted for process monitoring and offer performance comparable with the wired counterparts, despite they still are more sensitive to interference from external sources. This work investigates the main sources of interference in the 2.4 GHz ISMband and evaluates the adoption of a simple algorithm to identify the interference. The proposed technique, called LPED, is based on bit error nature and forward error correction. The required computational effort is compatible with resources normally available in WSN nodes, as experimentally verified. In addition, performance in presence of IEEE802.11 and iWLAN is also verified; classification is correct in about 90% of cases.
无线传感器网络(wsn)由于其灵活性和可扩展性方面的优势,越来越多地部署在办公大楼、住宅区和工业场所。目前,可用的无线现场总线被广泛用于过程监控,其性能可与有线总线相媲美,尽管它们对外部干扰仍然更敏感。本文研究了2.4 GHz ISMband中的主要干扰源,并评估了采用一种简单的算法来识别干扰。提出的LPED技术是基于误码特性和前向纠错的。实验证明,所需的计算量与WSN节点中通常可用的资源是兼容的。此外,还验证了IEEE802.11和iWLAN存在时的性能;在大约90%的情况下,分类是正确的。
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引用次数: 7
Low crest factor multitone waveform synthesis with the AC Josephson voltage standard 低波峰因数多音波形合成与交流约瑟夫森电压标准
K. Zhou, J. Qu, Xianying Dong
Minimizing the crest factor of a multitone waveform helps to increase the signal to noise ratio in the measurement and decrease the nonlinear distortions. This paper uses the ac Josephson voltage standard to synthesize multitone waveforms and the L∞ algorithm to optimize the harmonic phases and thus to minimize the crest factor. In the optimization, both random and Schroeder harmonic phases are adopted as initial phases for the algorithm. With the crest factor minimized, the operating margin is increased significantly and the maximum output tone amplitude is doubled from 400 μVrms to 800 μVrms for the multitone waveform composed of 200 continuous harmonics.
减小多音波形的波峰系数有助于提高测量中的信噪比,减少非线性失真。本文采用交流约瑟夫森电压标准合成多音波形,并采用L∞算法优化谐波相位,从而使波峰因子最小化。在优化过程中,算法采用随机谐波相位和施罗德谐波相位作为初始相位。对于由200个连续谐波组成的多音波形,当波峰因子最小化时,工作裕度显著提高,最大输出音幅从400 μVrms增加到800 μVrms。
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引用次数: 5
Quantitative microwave imaging in Lp Banach spaces: A numerical assessment 定量微波成像在Lp巴拿赫空间:一个数值评估
A. Fedeli, M. Pastorino, A. Randazzo
A numerical assessment concerning the reconstruction capabilities of a recently proposed imaging measurement method working at microwave frequencies is proposed. The approach is based on the electric field integral equations of the inverse scattering problem, which are solved by using an iterative inexact-Newton method developed in Lp Banach spaces. Quantitative errors on the reconstruction of a canonical configuration are evaluated in different conditions. Accordingly, the effects of the choice of several parameters of the imaging configuration and operating conditions are discussed.
对最近提出的一种微波频率成像测量方法的重建能力进行了数值评估。该方法基于逆散射问题的电场积分方程,利用Lp Banach空间中的迭代非精确牛顿法求解逆散射问题。评估了在不同条件下正则构型重构的定量误差。在此基础上,讨论了成像结构和操作条件等参数的选择对成像效果的影响。
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引用次数: 0
Development of new HIL architecture to study high speed trains dynamics on full-scale test-rigs 在全尺寸试验台上研究高速列车动力学的新型HIL架构的开发
B. Allotta, R. Conti, E. Meli, L. Pugi, A. Ridolfi
A new Hardware In the Loop (HIL) architecture to study high speed trains dynamics on full-scale test-rigs is proposed in this work. Through the new architecture different wheel-rail adhesion patterns and, in particular, degraded adhesion conditions can be reproduced on the test-rig. The new strategy will be implemented into the full-scale test-rig of the Railway Research and Approval Center of Firenze-Osmannoro (Italy); this test-rig has been designed by Trenitalia and by SICME (for the actuation system). To validate the proposed architecture, at this initial step of the research, both the hardware and the software parts of the HIL system have been accurately modeled (using the real component characteristics provided by Trenitalia). The simulated results have been compared to experimental data related to traction on-track tests carried out by Trenitalia in Velim, Czech Republic, with a E402-B locomotive equipped with a fully-working antiskid device. The initial model validation shows the good accuracy of the new HIL architecture in describing, on the test-rig, the complex system physics (characterized by degraded adhesion conditions coupled to railway vehicle dynamics) during the vehicle traction.
本文提出了一种新的硬件在环(Hardware In the Loop, HIL)架构,用于在全尺寸试验台上研究高速列车动力学。通过新的结构,不同的轮轨附着模式,特别是退化的附着条件可以在试验台上重现。新战略将在意大利佛罗伦萨-奥斯曼诺罗铁路研究和审批中心的全尺寸试验台实施;该试验台由意大利铁路公司(Trenitalia)和SICME公司(作动系统)共同设计。为了验证所提出的架构,在研究的初始阶段,HIL系统的硬件和软件部分都已经精确建模(使用Trenitalia提供的真实组件特性)。仿真结果与意大利铁路公司(Trenitalia)在捷克共和国Velim进行的E402-B型机车轨道牵引试验数据进行了比较,该机车配备了全工作防滑装置。最初的模型验证表明,在试验台上,新的HIL架构在描述车辆牵引过程中复杂的系统物理(以附着条件退化和轨道车辆动力学耦合为特征)方面具有良好的准确性。
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引用次数: 2
Adaptive drift calibration of accelerometers with direct velocity measurements 直接速度测量加速度计的自适应漂移校准
Michael Rockwood, Bruce Wallace, R. Goubran, F. Knoefel, S. Marshall
The accelerometer has become one of the most popular sensors in recent years due to its low cost and the widespread availability of smart phones that now contain three axis accelerometers. This paper proposes an adaptive drift calibration technique for accelerometer signals, correcting higher sampling rate accelerometers using lower sampling rate velocity and position measurements. Specifically, this study made use of 40Hz sampled accelerometer signals captured by smart phones, and corrected them using two different 1Hz sampled velocity reference signals: a vehicle speed sensor and velocity from a Global Positioning System position sensor. The paper compares the performance of two error correction algorithms based on step and ramp shaped error correction delta functions. The ramp function was found to be susceptible to oscillation caused by high frequency noise, while the step function remains stable. The paper also shows that the GPS velocity signal has better performance over the dashboard vehicle velocity signal due to the higher frequency noise within the direct velocity signal.
由于其低成本和智能手机的广泛可用性,加速度计已成为近年来最受欢迎的传感器之一,现在包含三轴加速度计。本文提出了一种加速度计信号的自适应漂移校准技术,利用低采样率的速度和位置测量来校正高采样率的加速度计。具体而言,本研究利用智能手机捕获的40Hz采样加速度计信号,并使用两种不同的1Hz采样速度参考信号进行校正:车辆速度传感器和全球定位系统位置传感器的速度。本文比较了基于阶跃和斜坡形误差校正函数的两种误差校正算法的性能。发现斜坡函数易受高频噪声引起的振荡影响,而阶跃函数保持稳定。由于直接速度信号中存在较高的频率噪声,GPS速度信号比仪表盘车速信号具有更好的性能。
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引用次数: 2
M2M communication delay challenges: Application and measurement perspectives M2M通信延迟挑战:应用和测量视角
J. Fabini, T. Zseby
During the last decades, networks have evolved from stateless copper wires to complex, stateful communication paths. Furthermore, the delay in wired and wireless access networks has decreased substantially, such that previously negligible delay contributions become relevant parts of the total end-to-end delay. This can affect critical M2M applications such as Smart Grid communication that depend on timely data transfer. Their demand for deterministic communication paths conflicts with the common, cost-driven trend to share and optimize overall network capacity. This paper assesses contributions and bias of network technologies and systems onto end-to-end delay in today's access networks. The delay measurement results that are presented for various access networks provide (a) methodological considerations for accurate one-way delay measurements in these networks, (b) delay estimates for specific technologies as a guideline for M2M communication network selection, and (c) exemplary technology-specific anomalies that M2M applications must be prepared to handle. Integrating these findings into M2M applications is key to improve their communication's robustness, performance, and ability to handle anomalies appropriately.
在过去的几十年里,网络已经从无状态的铜线发展到复杂的、有状态的通信路径。此外,有线和无线接入网络中的延迟已经大大减少,因此以前可以忽略不计的延迟贡献成为总端到端延迟的相关部分。这可能会影响关键的M2M应用程序,例如依赖于及时数据传输的智能电网通信。他们对确定性通信路径的需求与共同的、成本驱动的共享和优化整体网络容量的趋势相冲突。本文评估了网络技术和系统对当今接入网端到端延迟的贡献和偏见。针对各种接入网络提出的延迟测量结果提供了(a)这些网络中精确单向延迟测量的方法考虑,(b)作为M2M通信网络选择指南的特定技术的延迟估计,以及(c) M2M应用程序必须准备处理的示范性技术特定异常。将这些发现集成到M2M应用程序中是提高其通信鲁棒性、性能和适当处理异常能力的关键。
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引用次数: 7
Robust recovery of wideband block-sparse spectrum based on MAP and MMSE estimator 基于MAP和MMSE估计的宽带块稀疏频谱鲁棒恢复
Jia Li, Qiang Wang, Jiayan Qiu, Cong Dong
Indirect spectrum sensing mainly concerns the measurement and analysis of primary wideband analog signal. This paper proposes two robust algorithms based on maximum a-posteriori probability (MAP) and minimum mean-squared error (MMSE) estimators to recover wideband block-sparse spectrum and then detect the spectrum holes in compressive spectrum sensing (CSS). In each iteration of the referred Block-sparse Orthogonal Matching Pursuit based on iterative MAP (BOMP-IMAP) algorithm, one index of block is firstly identified to expand the estimated support. And then, wideband block-sparse spectrum can be recovered through approximating the MAP estimator. Finally, the residual is updated and put into next iteration. In order to approximate the MMSE estimator, the Random BOMP-IMAP (RandBOMP-IMAP) algorithm utilizes a randomized block identification of BOMP-IMAP algorithm to generate multiple solutions, which is followed by the fusion of them to obtain the final approximation. Numerical simulation results concerning probability of detection and detection time under certain noise level or measurement number validate the superiority of the proposed algorithms.
间接频谱感知主要涉及对宽带模拟信号的测量和分析。本文提出了两种基于最大后验概率(MAP)和最小均方误差(MMSE)估计的鲁棒算法,用于恢复宽带块稀疏频谱并检测压缩频谱感知(CSS)中的频谱漏洞。在引用的基于迭代MAP (BOMP-IMAP)算法的块稀疏正交匹配追踪的每次迭代中,首先识别一个块索引以扩大估计支持度。然后,通过近似MAP估计器恢复宽带块稀疏频谱。最后,对残差进行更新并放入下一次迭代中。为了逼近MMSE估计量,Random BOMP-IMAP (RandBOMP-IMAP)算法利用BOMP-IMAP算法的随机块识别来生成多个解,然后将它们融合以获得最终的逼近。在一定噪声水平或测量次数下的检测概率和检测时间的数值仿真结果验证了所提算法的优越性。
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引用次数: 1
A structural framework across strongly and weakly defined measurements 跨强和弱定义测量的结构框架
L. Mari, M. Wilson
Is there a framework common to measurement across broad domains of application, including both physical and social science measurement? The answer to this question would determine to an important extent the possibility of building a shared measurement-related body of knowledge across many traditionally separate domains. In this paper, we outline a structural framework of the processes involved in the construction and use of measurement that includes instrument design, standard/reference selection, instrument calibration, measurand definition, and ultimately, instrument operation and data processing.
是否有一个跨广泛应用领域(包括物理和社会科学测量)测量的通用框架?这个问题的答案将在很大程度上决定跨许多传统上独立的领域建立共享的与度量相关的知识体系的可能性。在本文中,我们概述了测量的构建和使用过程的结构框架,包括仪器设计,标准/参考选择,仪器校准,测量和定义,以及最终的仪器操作和数据处理。
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引用次数: 3
An automated system for Accident Detection 事故检测的自动化系统
Asad Ali, M. Eid
Major accidents on highways, freeways and local roads can lead to huge social and economic impacts. Minor accidents may be resolved by the passengers themselves and do not require escorting to hospitals whereas major accidents where airbags are deployed require immediate attention of authorities. Automatic Smart Accident Detection (ASAD) is an auto-detection unit system that immediately notifies an Emergency Contact through a text message when an instant change in acceleration, rotation and an impact force in an end of the vehicle is detected by the system, detailing the location and time of the accident. The idea is that as soon as an accident is detected by the system, the authorities should immediately be notified to prevent further car congestion as well as allow the passengers to be escorted to the hospital in a timely fashion. The system involves the use of fuzzy logic as a decision support built into the smartphone application that analyzes the incoming data from the sensors and makes a decision based on a set of rules. The simulated results show a 98.67% accuracy of the system with failures resulting from the “gray regions” of the variable values.
在高速公路、高速公路和地方道路上发生的重大事故会造成巨大的社会和经济影响。小事故可以由乘客自己解决,不需要护送到医院,而安全气囊部署的重大事故需要当局立即关注。自动智能事故检测(ASAD)是一种自动检测单元系统,当系统检测到车辆尾部的加速度、旋转和冲击力的瞬间变化时,它会立即通过短信通知紧急联系人,并详细说明事故的位置和时间。这个想法是,一旦系统检测到事故,就应该立即通知当局,以防止进一步的车辆拥堵,并允许乘客及时被护送到医院。该系统使用模糊逻辑作为内置在智能手机应用程序中的决策支持,该应用程序分析来自传感器的传入数据,并根据一组规则做出决策。仿真结果表明,由于变量值的“灰色区域”导致的故障,系统的准确率为98.67%。
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引用次数: 26
期刊
2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings
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