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2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)最新文献

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Enhanced Robot Position Control Using Force Information for Mobile Robots : Influences of Obstacles on Cooperative Work 基于力信息的移动机器人增强位置控制:障碍物对协同工作的影响
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673837
Y. Ishibashi, Pingguo Huang, K. Psannis
This paper enhances the robot position control using force information, which was previously proposed, for collaborative work between two mobile robots having force sensors to respond to sudden changes in the position of each mobile robot owing to obstacles such as holes and stones. When the mobile robots carry an object together while moving on uneven ground, the object may be broken by too large force applied to it if the difference in the position between the two robots becomes large. The enhanced control tries to adjust the positions quickly to reduce the force by absorbing the difference based on force sensed by the force sensors. In our experiment, the paper demonstrates that the control largely mitigates influences of obstacles on cooperative work by emulating mobile robots in our remote robot systems with force feedback.
本文利用先前提出的力信息增强了机器人位置控制,使具有力传感器的两个移动机器人之间协同工作,以响应由于障碍物(如洞和石头)而导致的每个移动机器人位置的突然变化。当移动机器人一起携带物体在不平坦的地面上移动时,如果两个机器人之间的位置差变大,物体可能会因施加的力过大而破碎。增强控制通过吸收基于力传感器感知的力的差值来快速调整位置以减小力。在我们的实验中,通过在我们的远程机器人系统中模拟具有力反馈的移动机器人,证明了控制在很大程度上减轻了障碍物对协同工作的影响。
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引用次数: 0
Research on the Algorithm of Nonuniform Compressive Sensing in DOA DOA中非均匀压缩感知算法研究
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673984
Xuerong Cui, B. Guo, Haihua Chen, Yucheng Zhang, Shibao Li, Xiaochen Lian
Direction of Arrival (DOA) estimation is one of the most fundamental problems in array signal processing, and it is widely used in many fields such as radar, sonar, and communications. This paper uses Compressed Sensing (CS) technology to focus on DOA estimation. Aiming at the problems caused by fewer snapshots in the practical application of DOA estimation, a Nonuniform Overcomplete Dictionary (NUOD) combining initialization space is proposed. In addition, the new DOA estimation algorithm of Orthogonal Match Pursuit (OMP) is improved by a Genetic Algorithm (GA). Furthermore, in order to improve the performance of DOA estimation of CS technology, the following three improvements are proposed. (1) Make full use of the Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) to determine the initialization point and then determine the scope of the initialization space according to the Crame’r–Rao bound (CRB). (2) Aiming at a large amount of calculation, the algorithm can realize the nonuniform over-complete dictionary design of the popular array matrix according to the sparse representation of the partition of the initialization space. (3) To further improve the algorithm’s performance, the nonuniform over-complete dictionary design is combined with the processing flow of the GA improved OMP algorithm. The simulation results prove that the method in this paper has the advantages of less computing time, low estimation error, and wide application range.
DOA估计是阵列信号处理中最基本的问题之一,在雷达、声纳、通信等领域有着广泛的应用。本文采用压缩感知(CS)技术来进行DOA估计。针对DOA估计在实际应用中由于快照数量少而产生的问题,提出了一种结合初始化空间的非均匀过完备字典(NUOD)。此外,利用遗传算法对正交匹配追踪(OMP)的DOA估计算法进行了改进。此外,为了提高CS技术的DOA估计性能,本文提出了以下三点改进。(1)充分利用旋转不变性技术估计信号参数(ESPRIT)确定初始化点,然后根据Crame’r - rao界(CRB)确定初始化空间的范围。(2)针对计算量大的问题,该算法根据初始化空间划分的稀疏表示,实现了流行数组矩阵的非均匀过完备字典设计。(3)为了进一步提高算法的性能,将非均匀过完备字典设计与GA改进的OMP算法的处理流程相结合。仿真结果表明,该方法具有计算时间短、估计误差小、适用范围广等优点。
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引用次数: 0
Minimum Delay Allocation Strategy for Distribution Internet of Things 分布式物联网最小时延分配策略
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673893
Xiang Wang, Zhiying Tang, Qingyang Liu, Kang Wang, Meiming Fu
Accelerated by the concept of the prominent Internet of things, various power line systems are envisioned to be integrated into wireless communication networks to enhance the quality of service of ubiquitous users. In order to improve the delay performance of these integrated networks, intensive computation tasks can be partly offloaded to the network edge and processed by edge devices. In this paper, we model a collaborated cloud and edge network consists of power line systems and wireless communications, considering the terrible transmission environment of offloading devices. Under the hierarchical offloading strategy proposed in this work, a joint delay optimization problem is formulated and solved with the constraints of network computation capability. Finally, numerical results demonstrate that the proposed scheme shows superiority to other benchmark schemes as regards to minimizing the delay of the end equipments.
在物联网概念的推动下,各种电力线系统被设想融入无线通信网络,以提升无处不在的用户的服务质量。为了提高这些集成网络的延迟性能,可以将密集的计算任务部分卸载到网络边缘,由边缘设备处理。在本文中,我们模拟了一个由电力线系统和无线通信组成的协作云和边缘网络,考虑到卸载设备的恶劣传输环境。在本文提出的分层卸载策略下,提出了一个联合时延优化问题,并在网络计算能力约束下进行了求解。最后,数值结果表明,该方案在最小化终端设备时延方面优于其他基准方案。
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引用次数: 0
Measuring Drift Velocity via Diffusion-based Molecular Communication System 基于扩散的分子通信系统测量漂移速度
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673827
Shengfa Xu, Ming Yan, Jingyi Xing, Xiaodong Yang
With the development of communication technology, molecular communications (MC) give birth to the communications between nanomachines. The biochemical molecules are used as information carrier. These molecules move in the medium in either active transport mode or free diffusion mode. When the biochemical molecules are moving in the medium, the drift velocity of the medium would have great influence on MC. In this work, a diffusion-based MC system is used to measure the drift velocity of medium. The expression of the relationship between molecular concentration difference and drift velocity is also derived. In this research, we give the basis for judging applicable environment, and recommend a practical mode of measuring fluid drift velocity. This method has good application value and will provide new ideas of measuring fluid velocity.
随着通信技术的发展,分子通信催生了纳米机器之间的通信。生化分子被用作信息载体。这些分子在介质中以主动输运模式或自由扩散模式运动。当生化分子在介质中运动时,介质的漂移速度对生化分子的漂移速度有很大的影响。本文采用一种基于扩散的生化分子漂移速度测量系统来测量生化分子的漂移速度。推导了分子浓度差与漂移速度的关系式。本研究为判断适用环境提供了依据,并推荐了一种实用的流体漂移速度测量模式。该方法具有很好的应用价值,将为流体速度的测量提供新的思路。
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引用次数: 0
Efficient Big Data Delivery over IoT Networks 通过物联网网络实现高效的大数据传输
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673935
A. P. Plageras, K. Psannis, G. Kokkonis, Y. Ishibashi
Novel technologies, new trends, brand-new protocols, more efficient algorithms, and smart systems have been used all over the globe by civilized countries to have better and more convenient living. In the present study, the aim was to develop and present the optimal IoT architecture for a "Smart" system. To achieve this, there were several challenges that needed to be solved, such as network security, network data transmission, interoperability, scalability, flexibility, and efficient data and energy management and analysis. After a brief observation, the advantages that can be gained by the use of such systems will be tremendous.
新的技术、新的趋势、全新的协议、更高效的算法、更智能的系统已经被文明国家在全球范围内使用,让人们的生活更美好、更便捷。在本研究中,目的是为“智能”系统开发和呈现最佳物联网架构。为了实现这一目标,需要解决几个挑战,例如网络安全、网络数据传输、互操作性、可伸缩性、灵活性以及高效的数据和能源管理和分析。经过简短的观察,使用这种系统所能获得的好处将是巨大的。
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引用次数: 0
All-Fiber Frequency Shifter with a Lower Frequency Shift for the Coherent Detection 具有较低频移的全光纤移频器用于相干检测
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673866
Zhengwei Zhang, Jiangtao Xu, Xianglong Zeng, Jianfeng Sun, Longkun Zhang
We demonstrate two kinds of all-fiber frequency shifters for optical coherence detection. The mode-selective coupler (MSC) and long period fiber grating (LPFG) are cascaded with the acoustically induced fiber grating (AIFG), respectively. Due to the frequency shifting characteristics of the AIFG, the low frequency shift of less than 1 MHz is achieved by both of them. Furthermore, the mode conversion occurs only within the frequency shifter, which is capable of implementing the input and output of the core LP01 mode. The LP11 mode converted by MSC and LPFG is finally converted back to LP01 mode by AIFG, and the frequency is shifted up. The structure of the two kinds of frequency shifters is simple and compact, and the signal-to-noise ratio (SNR) can reach 65 dB, which provides a feasible scheme for the coherence heterodyne detection technology of low frequency.
我们展示了两种用于光相干检测的全光纤移频器。模选择耦合器(MSC)和长周期光纤光栅(LPFG)分别与声致光纤光栅(AIFG)级联。由于AIFG的移频特性,两者都实现了小于1mhz的低频移频。此外,模式转换仅发生在移频器内,该移频器能够实现核心LP01模式的输入和输出。经过MSC和LPFG转换的LP11模式最终通过AIFG转换回LP01模式,频率上移。两种移频器结构简单紧凑,信噪比可达65 dB,为低频相干外差检测技术提供了一种可行的方案。
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引用次数: 0
[Copyright notice] (版权)
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673868
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引用次数: 0
Application of a Variable Step Size Adaptive Equalization Algorithm 一种变步长自适应均衡算法的应用
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673957
Xi Li, Ma Cheng, Li Kai
In order to alleviate the influence of multi-path effect and noise caused by complex flight test environment on telemetry signal reception, a variable step size adaptive equalization algorithm is proposed in this paper. Based on the GSVSLMS algorithm, the algorithm improves the anti-noise performance of the algorithm by using the correlation value of the error signal at the adjacent time to control the change of the step size, and makes the parameters that affect the step size change with the changing of the error signal, so as to alleviate the contradiction between the convergence speed and the steady-state accuracy of the constant parameters. Compared with SVSLMS and G-SVSLMS, the proposed algorithm improves the convergence speed and steady-state accuracy, and has a certain anti noise performance, which proves that the proposed algorithm is effective and feasible.
为了缓解复杂试飞环境带来的多径效应和噪声对遥测信号接收的影响,本文提出了一种变步长自适应均衡算法。该算法在GSVSLMS算法的基础上,利用误差信号在相邻时刻的相关值来控制步长变化,提高了算法的抗噪性能,并使影响步长的参数随着误差信号的变化而变化,从而缓解了恒定参数的收敛速度与稳态精度之间的矛盾。与SVSLMS和G-SVSLMS相比,所提算法提高了收敛速度和稳态精度,并具有一定的抗噪声性能,证明了所提算法的有效性和可行性。
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引用次数: 0
A Wireless Resource Management and Virtualization Method for Integrated Satellite-Terrestrial Network 星地一体网无线资源管理与虚拟化方法
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673995
Hao Zhang, Chunfeng Wang, Shuo Liang
An Integrated satellite-terrestrial network system brings new architecture and service requirements. For NGN (Next Generation Network), there are four important technical concepts: virtualization technology, cognitive technology, software defining technology and service-oriented infrastructure. In order to realize the deep integration between satellite communication and terrestrial network, virtualization technology used in terrestrial network is one of the means to solve the effective integration of terrestrial network and satellite communication. This paper discusses the cognitive virtualization method of software defining for integrated satellite terrestrial network system, and illustrates the three-layer virtualization model of cognitive wireless network, which are network function virtualization layer, physical channel virtualization layer and spectrum virtualization layer. The architecture of software defined cognitive virtualization wireless network system, dynamic channel allocation procedure and the principle of spectrum virtualization technology are described. Through spectrum virtualization, the system can utilize more spectrum holes to improve the efficiency of spectrum utilization.
星地一体化网络系统带来了新的体系结构和业务需求。对于下一代网络(NGN),有四个重要的技术概念:虚拟化技术、认知技术、软件定义技术和面向服务的基础设施。为了实现卫星通信与地面网络的深度融合,在地面网络中应用虚拟化技术是解决地面网络与卫星通信有效融合的手段之一。讨论了卫星地面综合网络系统软件定义的认知虚拟化方法,阐述了认知无线网络的三层虚拟化模型,即网络功能虚拟化层、物理信道虚拟化层和频谱虚拟化层。介绍了软件定义认知虚拟化无线网络系统的体系结构、动态信道分配过程和频谱虚拟化技术的原理。通过频谱虚拟化,系统可以利用更多的频谱孔,提高频谱利用效率。
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引用次数: 0
Indoor Navigation System Based on Foot-Mounted IMU and Map Information Fusion 基于车载IMU和地图信息融合的室内导航系统
Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9674003
Zhang Yushuai, Guo Jianxin, Ji Xiang, Zhu Rui
An efficient correction method for position and heading errors in foot mounted inertial measurement unit (IMU) indoor pedestrian navigation and positioning systems is presented in this paper. We propose a cascaded structured Kalman filter and non-recursive Bayesian filter for indoor localization by fusing the micro electro mechanical system (MEMS) inertial sensors and indoor map information. The lower Kalman filter adopts the zero velocity update algorithm to initially correct the solution error of inertial navigation; the upper non-recursive Bayesian filter uses indoor map information to further calibrate pedestrian position and heading by map matching. The effectiveness and accuracy of this algorithm are verified by example in a real indoor scene.
提出了一种针对足部惯性测量单元(IMU)室内行人导航定位系统中位置和航向误差的有效修正方法。通过融合微机电系统惯性传感器和室内地图信息,提出了一种用于室内定位的级联结构卡尔曼滤波器和非递归贝叶斯滤波器。下卡尔曼滤波器采用零速度更新算法对惯性导航的解误差进行初始修正;上部非递归贝叶斯滤波器利用室内地图信息,通过地图匹配进一步标定行人位置和方向。通过实例验证了该算法的有效性和准确性。
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引用次数: 0
期刊
2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)
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