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2011 First International Conference on Instrumentation, Measurement, Computer, Communication and Control最新文献

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Adaptive Wideband Beamforming with Frequency Response Constraints 频率响应约束下的自适应宽带波束形成
Ming-jian Chen, Jing-qing Luo
In this paper, a novel adaptive linearly constrained minimum variance (LCMV) beam former is proposed based on frequency response constraints. With frequency response constrained optimization criteria, the new constraint vector and thus the new weight vector are designed to improve the output signal to interference plus noise ratio (SINR), compared to the conventional distortion less constraint. The proposed methods flexibly control tradeoff between the output SINR performance and signal distortion. Simulation results are presented to demonstrate that the optimized beam former has higher overall performance about the SINR performance and signal distortion.
本文提出了一种基于频率响应约束的自适应线性约束最小方差波束成形器。根据频率响应约束优化准则,设计了新的约束向量和新的权重向量,与传统的无失真约束相比,提高了输出信噪比。该方法灵活地控制了输出信噪比性能和信号失真之间的权衡。仿真结果表明,优化后的波束形成器在信噪比和信号失真方面具有较高的综合性能。
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引用次数: 0
Design of Mobile Phone Security System Based on Detection of Abnormal Behavior 基于异常行为检测的手机安全系统设计
Zhang Lei, Junmao Zhu, Zhongguang Tian, Yulong Liu, Wang Tao
Mobile phone virus is rapidly developing with the quick development of 3G radio network. The research on mobile phone virus detection is a hotspot in mobile security field. In this paper we analyze the spread methods of various viruses, propose and design a mobile phone virus detection system based on abnormal behavior. The malware's behavior characteristics are represented in a malware database. We set up a behavior analysis model to implement the behavior pattern matching which is more completeness and efficiency. Our evaluation shows that behavioral detection can successfully detect unknown mobile phone virus.
随着3G无线网络的快速发展,手机病毒也在迅速发展。手机病毒检测是移动安全领域的研究热点。本文分析了各种病毒的传播方式,提出并设计了一种基于异常行为的手机病毒检测系统。恶意软件的行为特征在恶意软件数据库中表示。建立了行为分析模型,实现了更完整、更高效的行为模式匹配。我们的评估表明,行为检测可以成功检测未知手机病毒。
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引用次数: 7
Study of Frequency Characteristic of Body Area Communication Channel 体域通信信道频率特性研究
Xie Yu, Wang Yan-ning
Body area communication could be a promising solution of next generation wearable communication networks for pervasive computing. Frequency characteristic of body area communication channel based on quasi-electrostatic field was studied in this paper. From the viewpoint of relaxation time of electrostatic equilibrium in human body inductive electrification, the relationship between induced charge density and strength of external electric field was derived. Transfer function of body channel was acquired and based on which the frequency characteristic was proved to be function of dielectric constant of human body and air, as well as conductivity of human body. Experiment was conducted in the frequency range from 100 kHz to 80 MHz, test results showed consistency with theoretical analysis that body channel shows low-pass property.
体域通信可能是下一代普适计算可穿戴通信网络的一个有前途的解决方案。研究了基于准静电场的体域通信信道的频率特性。从人体感应通电过程中静电平衡的松弛时间出发,推导了感应电荷密度与外加电场强度的关系。获得了人体通道的传递函数,并在此基础上证明了频率特性是人体与空气介电常数以及人体电导率的函数。实验在100 kHz ~ 80 MHz的频率范围内进行,实验结果与理论分析一致,表明体信道具有低通特性。
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引用次数: 0
Improved Algorithm for Network Topology Probe Based on Binary Search 基于二分搜索的网络拓扑探测改进算法
Shang Wang, Zexin Lu, Wei Peng, Shicong Ma
Network topology measurement is the basis of network management which makes better use of Internet for people. Using Trace route tool is the traditional way to get information about the network topology. However, Trace route sends numerous packets into the network which increases the network load. In order to reduce the amount of duplicated packets, this paper presents an algorithm named BST. According to the idea of Binary Search, BST selects the last node that has been probed and probes the nodes following the selected node along the path in parallel. By comparing to some major network topology probe methods, experimental results show that BST sends fewer packets and costs less running time. The efficiency of network topology probe can be improved dramatically by the BST algorithm.
网络拓扑测量是网络管理的基础,是人们更好地利用互联网的基础。使用Trace路由工具是获取网络拓扑信息的传统方法。但是,Trace路由向网络中发送了大量的数据包,增加了网络负载。为了减少重复数据包的数量,本文提出了一种BST算法。根据二分搜索的思想,BST选择最后一个被探测到的节点,并沿着路径并行探测被选中节点之后的节点。通过比较几种主要的网络拓扑探测方法,实验结果表明BST发送的数据包更少,运行时间更短。采用BST算法可以显著提高网络拓扑探测的效率。
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引用次数: 1
Evolutionary Algorithms Based on Cellular Automata for Function Optimization 基于元胞自动机的函数优化进化算法
Zhang Yong-zhi, Bi Yi-ming
Parallel computation is an efficient way to solve the complex large-scale science and engineering problems. Cellular automata based evolutionary algorithms report some good results in the field of function optimization due to its intrinsic feature of parallel computing. This paper analyzed an evolutionary algorithm based on cellular automata for multimodal functions and discussed the operators and its roles in algorithms.
并行计算是解决复杂的大规模科学与工程问题的有效途径。基于元胞自动机的进化算法由于其内在的并行计算特性,在函数优化领域取得了良好的效果。分析了一种基于元胞自动机的多模态函数进化算法,讨论了算子及其在算法中的作用。
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引用次数: 0
Research on Ad Hoc Networking Based on TETRA DMO 基于TETRA DMO的Ad Hoc网络研究
Liu Meng, Li Hai, Hou Shujuan
Direct Mode Operation (DMO) is an important mode of operation supported by Terrestrial Trunked Radio (TETRA) standard. However, TETRA-DMO cannot perform multi-hop communication, limiting both the coverage and the scalability of the whole network. An approach to building an ad hoc network based on TEREA DMO technology and a proactive routing protocol, Optimized Link State Routing Protocol (OLSR) is proposed. The algorithm of "DMO Multipoint Relay" (DMR) selection is also introduced. Performance analysis indicates the call setup delay of group call service can meet the requirement of TETEA.
直接模式操作(DMO)是地面集群无线电(TETRA)标准支持的一种重要的操作方式。然而,TETRA-DMO不能进行多跳通信,限制了整个网络的覆盖范围和可扩展性。提出了一种基于TEREA DMO技术和主动路由协议优化链路状态路由协议(OLSR)构建自组网的方法。介绍了“DMO多点中继”(DMR)的选择算法。性能分析表明,群呼业务的呼叫建立延迟可以满足TETEA的要求。
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引用次数: 0
Equipment Health State Grade Division Based on Artificial Immune System and Cloud Model 基于人工免疫系统和云模型的设备健康状态等级划分
Xia Liang-hua, Qi Wei-wei, Hao Jin-feng, Guan Xuan-yi
In order to overcome the deficiency of the traditional method for determining of threshold value of the health state, this paper proposed a health state grade dividing algorithm based on artificial immune system (AIS) and cloud model. It cluster the state degradation data of equipment and the best clustering date of health state grade is found out without priori knowledge, and then it uses the cloud model to soften and divide the state grade and realizes the health state grade dividing automatically and optimally. At last, this algorithm is applied to gearbox, and the results shows that it can carry on rational division to the state grade of health equipped, and have good adaptability and robust.
为了克服传统健康状态阈值确定方法的不足,提出了一种基于人工免疫系统(AIS)和云模型的健康状态等级划分算法。该方法对设备状态退化数据进行聚类,在不需要先验知识的情况下找出健康状态等级的最佳聚类日期,然后利用云模型对状态等级进行软化和划分,实现了健康状态等级的自动最优划分。最后,将该算法应用于齿轮箱,结果表明,该算法能对健康装备的状态等级进行合理划分,具有良好的适应性和鲁棒性。
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引用次数: 1
Fast Multi-channel Digital Stretching Technique in Shore-based ISAR for Ship Imaging 岸基ISAR舰船成像快速多通道数字拉伸技术
Yuan Yuhan, Q. Taifan
In this paper, a multi-channel digital Stretching structure applied to image multi-ships simultaneously is proposed and which is very important for the ISAR to be used in ocean environment with intensive ships. A base band width expression of ship echoes which stands for the maximum length in radial range dimension occupied by the target being imaged is deduced. Based on the fact that ISAR emission signal band width is much wider than the base band width of the target echoes, a fast multi-phase filtering algorithm which leads to a sharply reduction of the computation load in range information processing is introduced and a matrix method of the algorithm is presented. Finally, a formula for estimating the computation load in terms of the radio of radar signal bandwidth to target's base band width is given, and the correctness of the equation is verified by an example from an actual ISAR system.
本文提出了一种适用于多船同时成像的多通道数字拉伸结构,这对ISAR在船舶密集的海洋环境中使用具有重要意义。推导了舰船回波基带宽度表达式,该表达式表示被成像目标在径向距离维上所占的最大长度。针对ISAR发射信号带宽远大于目标回波基带宽度的特点,提出了一种快速多相滤波算法,大大减少了距离信息处理的计算量,并给出了该算法的矩阵法。最后,给出了以雷达信号带宽与目标基带带宽之比估算计算负荷的公式,并通过实际ISAR系统的算例验证了公式的正确性。
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引用次数: 0
Construction and Implementation of the Blocking Matrix Based on the Constraint Space 基于约束空间的块矩阵的构造与实现
Zhiwei Zhang, Wang Bo
The linear constrained minimum variance(LCMV) beam former is proposed when there are main lobe interference and other interferences in adaptive beam forming. Generalized side lobe canceller is equivalent to achieve a LCMV structure with the blocking matrix, which is an important part of it. This paper propose a new dimension reduction matrix blocking theory basing on the defects of the general block. Simulation results show that the method can effectively eliminate the main lobe interference, not only reduces the amount of computation, but also has good robustness.
针对自适应波束形成中存在主瓣干扰和其他干扰的情况,提出了线性约束最小方差波束形成方法。广义旁瓣对消器等价于用阻塞矩阵实现LCMV结构,是其重要组成部分。针对一般块的缺陷,提出了一种新的降维矩阵块理论。仿真结果表明,该方法能够有效地消除主瓣干扰,不仅减少了计算量,而且具有良好的鲁棒性。
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引用次数: 1
Wavelet Denoising and Dynamic Fuzzy Neural Network in the Application of Deformation Analysis 小波去噪与动态模糊神经网络在变形分析中的应用
Yao Chao-long, Liu Li-long, Xiong Si
The learning algorithm and determination of network parameters of dynamic fuzzy neural network (DFNN) implements Takagi¨CSugeno¨CKang (TSK) fuzzy systems based on extended radial basis function neural networks (RBFNN) are introduced, combing wavelet transform with DFNN, a landslide deformation mornitoring data denoising by wavelet transform to divide noise from the original deformation data to obtain the tendency of deformation, and then predicted by DFNN. The prediction precision before and after denoising show that it is more effectively and more precisely to predict the deformable body deformation after denoising for deformation mornitoring data.
介绍了基于扩展径向基函数神经网络(RBFNN)的Takagi—sugeno—CKang (TSK)模糊系统的动态模糊神经网络(DFNN)的学习算法和网络参数的确定,将小波变换与DFNN相结合,利用小波变换对滑坡变形监测数据进行降噪,从原始变形数据中分离噪声,得到变形趋势,然后利用DFNN进行预测。降噪前后的预测精度表明,对变形监测数据降噪后的可变形体变形预测更有效、更精确。
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引用次数: 0
期刊
2011 First International Conference on Instrumentation, Measurement, Computer, Communication and Control
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