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2019 International Conference on Engineering and Telecommunication (EnT)最新文献

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Development of Effective Anti-Interference Primary Signal Processing for mmWave Automotive Radar 毫米波汽车雷达有效抗干扰主信号处理方法的研究
Pub Date : 2019-11-01 DOI: 10.1109/EnT47717.2019.9030561
I. Artyukhin, V. Ermolaev, A. Flaksman, A. Rubtsov, O. Shmonin
The present paper considers primary signal processing for 77 GHz automotive radar with antenna array. The problem of interference suppression for automotive radar with antenna array is considered. Influence of interference signals on the radar is analyzed. Performance of the Anti-Interference algorithms for RX antenna array is investigated.
本文研究了77 GHz天线阵汽车雷达的一次信号处理。研究了天线阵汽车雷达的干扰抑制问题。分析了干扰信号对雷达的影响。研究了RX天线阵列抗干扰算法的性能。
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引用次数: 3
About Presicion of Underwater Vehicles Location Using Underwater Acoustic Modems 基于水声调制解调器的水下航行器定位精度研究
Pub Date : 2019-11-01 DOI: 10.1109/EnT47717.2019.9030585
S. Kulik, A. Rodionov, F. Dubrovin, P. Unru, O. Mikhailenko
Paper presents the results of experiments for evaluation of working efficiency of developed underwater acoustic modems in conditions of real aquatic areas along with the confirmation of its applicability for implementation of AUV group navigation. For the verification of obtained results surface vehicle was equipped with precise satellite navigation system DGPS mounted coaxially with the underwater acoustic modem.
本文介绍了研制的水声调制解调器在实际水域条件下的工作效率评价实验结果,并证实了其在实现水下航行器群航方面的适用性。为了验证所得结果,在水面航行器上安装了与水声调制解调器同轴安装的精确卫星导航系统DGPS。
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引用次数: 0
The Process Noise Model of Kalman Filter for Chirp Radar 啁啾雷达卡尔曼滤波过程噪声模型
Pub Date : 2019-11-01 DOI: 10.1109/EnT47717.2019.9030593
M. A. Murzova
This paper provides a process noise model of a two-state Kalman filter for tracking with linear frequency modulated (LFM) waveforms. The steady-state gains and error covariance of this Kalman filter with process noise model are derived. The derived steady-state gains are such that sensor-noise only (SNO) covariance matrix of $alphabeta$-filter with these steady-state gains equals an estimate covariance matrix of a first-degree fixed-memory smoothing algorithm. Thus, the Kalman filter with proposed process noise model approximates the fixed-memory polynomial filter in terms of tracking accuracies. The first-degree fixed-memory smoothing algorithm is a first-degree fixedmemory polynomial filter based on least-squares estimation. Also the range and range rate lag error expressions are derived for the fixed-memory polynomial filter.
本文给出了一种用于线性调频(LFM)波形跟踪的双态卡尔曼滤波器的过程噪声模型。推导了该滤波器在过程噪声模型下的稳态增益和误差协方差。导出的稳态增益使得具有这些稳态增益的$alphabeta$滤波器的仅传感器噪声(SNO)协方差矩阵等于一级固定记忆平滑算法的估计协方差矩阵。因此,基于过程噪声模型的卡尔曼滤波器在跟踪精度方面接近固定记忆多项式滤波器。一阶固定记忆平滑算法是一种基于最小二乘估计的一阶固定记忆多项式滤波器。并推导了固定记忆多项式滤波器的距离和距离速率滞后误差表达式。
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引用次数: 1
Wireless Self-Organizing Wi-Fi and Bluetooth based Network For Internet Of Things 基于无线自组织Wi-Fi和蓝牙的物联网网络
Pub Date : 2019-11-01 DOI: 10.1109/EnT47717.2019.9030584
M. Ushakova, Y. Ushakov, P. Polezhaev, A. Shukhman
Modern Internet of Things networks are often proprietary, although based on open standards, or are built on the basis of conventional Wi-Fi network, which does not allow the use of energy-saving modes and limits the range of solutions used. The paper is devoted to the study and comparison of two solutions based on Wi-Fi and Bluetooth with the functions of a self-organizing network and switching between transmission channels. The power consumption in relation to specific actions and volumes of transmitted data is investigated; a conclusion is drawn on the conditions for the application of a particular technology.
现代物联网网络通常是专有的,尽管基于开放标准,或者是建立在传统Wi-Fi网络的基础上,这不允许使用节能模式,并限制了使用的解决方案的范围。本文研究了基于Wi-Fi和蓝牙的两种具有自组织网络和传输信道切换功能的解决方案并进行了比较。研究了与特定操作和传输数据量相关的功耗;对某一特定技术的应用条件作出结论。
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引用次数: 0
High-Quality 3D Medical Imaging by Wavelet Filters with Reduced Coefficients Bit-Width 基于降系数位宽小波滤波器的高质量三维医学成像
Pub Date : 2019-11-01 DOI: 10.1109/EnT47717.2019.9030532
N. Chervyakov, P. Lyakhov, N. Nagornov, M. Valueva
The problem of the quantization noise effect in coefficients of discrete wavelet transform (DWT) filters for 3D medical imaging is analyzed in this paper. We proposed the coefficients quantizing method which allows reducing hardware implementation costs. We derived formulas for determining the minimum wavelet coefficients bit-width that provide high quality in terms of the peak signal-to-noise ratio of 3D medical image processing using DWT. The experiments with 3D tomographic images confirmed the accuracy of theoretical analysis results. All data are presented in the fixed-point format which allows the possibility for the efficient implementation of image denoising and compression on modern devices such as field-programmable gate arrays and application-specific integrated circuits.
分析了三维医学成像中离散小波变换(DWT)滤波器系数的量化噪声效应问题。提出了降低硬件实现成本的系数量化方法。我们推导了确定最小小波系数位宽度的公式,这些小波系数位宽度在使用DWT处理3D医学图像的峰值信噪比方面提供了高质量。三维层析成像实验证实了理论分析结果的准确性。所有数据都以定点格式呈现,这使得在现场可编程门阵列和特定应用集成电路等现代设备上有效实现图像去噪和压缩成为可能。
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引用次数: 0
The Problem of Transition From Car Radar Sensors to an All-Weather Radar Vision System 汽车雷达传感器向全天候雷达视觉系统过渡的问题
Pub Date : 2019-11-01 DOI: 10.1109/EnT47717.2019.9030574
A. Ananenkov, D. Marin, V. Nujdin, P. Sokolov, V. Schneider
Existing achievements in the field of automotive radar are considered, the main problems and solutions are formulated for the transition to a full-fledged all-weather vision system for an unmanned vehicle. Particular attention is paid to the need to expand the information content of the vehicle’s radar sensor by expanding the field of view and the dynamic range of the received echo signal.
考虑了汽车雷达领域的现有成果,提出了向成熟的无人驾驶汽车全天候视觉系统过渡的主要问题和解决方案。特别需要注意的是,需要通过扩大视野和接收回波信号的动态范围来扩大车载雷达传感器的信息内容。
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引用次数: 0
NLP methods for automatic candidate’s CV segmentation 候选人简历自动分割的NLP方法
Pub Date : 2019-11-01 DOI: 10.1109/EnT47717.2019.9030535
M. Tikhonova, Anastasia Gavrishchuk
The problem of CV (or resume) segmentation and automatic extraction becomes increasingly relevant nowadays as long as it could simplify candidate selection process. The paper proposes a new method of automatic CV segmentation and parsing. The described algorithm is based on Natural Language Processing and Machine Learning methods. The proposed procedure allows to extract information related to the candidates’ work experience and education from their CVs which come in pdf or docx format. In particular, CV segmentation into 3 blocks (Basic Information, Education and Work Experience) is performed.
只要能简化候选人的筛选过程,简历的分割和自动提取问题就变得越来越重要。本文提出了一种自动CV分割与解析的新方法。所描述的算法是基于自然语言处理和机器学习方法。拟议的程序允许从pdf或docx格式的简历中提取与候选人的工作经验和教育相关的信息。特别是,将简历分成3块(基本信息、教育背景和工作经历)。
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引用次数: 3
Scheduling of Dedicated and Shared Links for Fast and Reliable Data Delivery in IEEE 802.15.4 TSCH Networks IEEE 802.15.4 TSCH网络中快速可靠数据传输的专用链路和共享链路调度
Pub Date : 2019-11-01 DOI: 10.1109/EnT47717.2019.9030540
E. Khorov, A. Lyakhov, R. Yusupov
Many industrial Internet of Things scenarios require reliable delivery of time-sensitive information send by a high number of devices. A promising technology for such massive machine-type low-latency communications is the Time-Slotted Channel Hopping (TSCH) operation mode of IEEE 802.15.4. This operation mode allows to schedule both dedicated channel resource units for collision-free transmission and shared channel resource units for random channel access. While numerous existing studies consider either scheduling of dedicated resource units or transmission in the shared ones, the joint usage of both dedicated and shared resource units has not been investigated yet. We fill this gap. We propose two approaches to joint scheduling of shared and dedicated channel resource units and analyze the performance of these approaches in terms of the packet loss ratio taking into account the channel noise. Apart from that, we propose modifications to the standard channel access rules and analyze their performance using an extensive simulation. We show that the proposed approaches with modified channel access rules give extremely low packet loss ratio with respect to the default behavior.
许多工业物联网场景需要可靠地传递由大量设备发送的时间敏感信息。IEEE 802.15.4的时隙信道跳频(TSCH)操作模式是实现这种大规模机器类型低延迟通信的一种很有前途的技术。这种操作模式允许调度专用信道资源单元用于无冲突传输和共享信道资源单元用于随机信道访问。虽然现有的许多研究都考虑了专用资源单元的调度或在共享资源单元中传输,但尚未研究专用资源单元和共享资源单元的联合使用。我们填补这个空白。我们提出了共享和专用信道资源单元联合调度的两种方法,并在考虑信道噪声的情况下从丢包率的角度分析了这两种方法的性能。除此之外,我们提出了对标准信道访问规则的修改,并使用广泛的模拟分析了它们的性能。我们表明,与默认行为相比,修改通道访问规则所提出的方法具有极低的丢包率。
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引用次数: 2
Efficient Implementation of Cryptography on Points of an Elliptic Curve in Residue Number System 余数系统中椭圆曲线点上密码的有效实现
Pub Date : 2019-11-01 DOI: 10.1109/EnT47717.2019.9030592
M. Babenko, A. Redvanov, M. Deryabin, N. Chervyakov, A. Nazarov, S. Al-Galda, I. Vashchenko, I. Dvoryaninova, Elena Nepretimova
The article explores the question of the effective implementation of arithmetic operations with points of an elliptic curve given over a prime field. Given that the basic arithmetic operations with points of an elliptic curve are the operations of adding points and doubling points, we study the question of implementing the arithmetic operations of adding and doubling points in various coordinate systems using the weighted number system and using the Residue Number System (RNS). We have shown that using the fourmodule RNS allows you to get an average gain for the operation of adding points of the elliptic curve of 8.67% and for the operation of doubling the points of the elliptic curve of 8.32% compared to the implementation using the operation of modular multiplication with special moduli from NIST FIPS 186.
本文探讨了素数域上给定椭圆曲线点的算术运算的有效实现问题。鉴于椭圆曲线上点的基本算术运算是加点和加倍点的运算,研究了利用加权数系统和余数系统在各种坐标系下实现加点和加倍点的算术运算问题。我们已经证明,与使用NIST FIPS 186中特殊模的模乘法操作相比,使用四模RNS可以使椭圆曲线的加法操作的平均增益为8.67%,椭圆曲线的加倍操作的平均增益为8.32%。
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引用次数: 2
Parametrized autoregressive channel prediction algorithm for moving LTE users 移动LTE用户的参数化自回归信道预测算法
Pub Date : 2019-11-01 DOI: 10.1109/EnT47717.2019.9030559
V. Kuptsov, O. Shmonin, S. Trushkov, A. Mikhailova
This paper considers the problem of channel prediction for LTE system highly mobile users. A prediction algorithm based on parameterized autoregressive model which parameters are estimated using superresolution techniques of spectral analysis is proposed. Via numerical simulation with usage of system level simulation platform efficiency of proposed algorithm is performed. It is shown that proposed algorithm allows high accuracy of channel prediction for highly mobile users to be achieved.
研究了LTE系统中高度移动用户的信道预测问题。提出了一种基于参数化自回归模型的预测算法,该模型利用超分辨率光谱分析技术估计参数。通过系统级仿真平台的数值仿真,验证了算法的有效性。结果表明,该算法对高移动用户具有较高的信道预测精度。
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2019 International Conference on Engineering and Telecommunication (EnT)
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