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检索条件"主题词=localization algorithm"

共 223 条记录，以下是71-80 订阅

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A Zigbee-based localization algorithm For Indoor Environments

A Zigbee-based localization Algorithm For Indoor Environment...

引用

2011 International Conference on Computer Science and Network Technology(2011计算机科学与网络技术国际会议 ICCSNT 2011)

作者： Xin Hu Guangchi Zhang Lianglun Cheng Faculty of Information Engineering Guangdong University of Technology Guangzhou China Faculty of Computer Guangdong University of Technology Guangzhou China

To improve the accuracy of CC2431-based Zigbee locating system in the indoor environment, a localization algorithm is proposed. Multipath propagation and Corrected multipath fading coefficient is investigated for the relationship of received signal strength (RSS) and distance. Window Mean Exponentially Weighted Moving Average (WMEWMA) is adopted to smooth the signal propagation exponent (SSPE) and averaged RSSI is used to soften fluctuations. We also incorporate preprocess methods to minimize the effect of multipath propagation, such as arranging reference nodes' position, calibrate RSSI value for location engine in CC2431, lower the output power level and shut down irrelevant wireless nodes. Experimental results show that the precision of the indoor location system is improved and the proposed algorithm is stable. Combining preprocess methods and SSPE successfully reduce the influences of unpredictable multipath propagation when indoor localization system is working.

关键词： localization algorithm Zigbee CC2431 Wireless Sensor Networks Multipath

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A Novel Environment Self-adaptive localization algorithm Based on RSSI for Wireless Sensor Networks

A Novel Environment Self-adaptive Localization Algorithm Bas...

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2010 IEEE International Conference Conferenhce on Wireless Communications,Networking and Information Security(2010 IEEE 无线通信、网络技术与信息安全国际会议 WCNIS)

作者： Xiao YI Yu LIU Lu DENG Research Institute of Information Fusion Naval Aeronautical and Astronautical University Yantai 264001 China

localization is one of the supporting technologies in wireless sensor networks, and accuracy is a significant criterion to evaluate the practical utility of localization algorithm. The effect of environment parameters like path loss exponent to measurement accuracy in received signal strength indicator (RSSI) is considered in this paper. According to the relationship between distance and received signal power among beacon nodes, least squares method (LSM) is introduced to acquire current environment parameters. Then the estimated distance is converted to an appropriate weight. Finally, the location information of nodes can be calculated out by weighted Centroid localization algorithm (WCLA). Simulation results in MATLAB show that our algorithm (LS-WCLA) has good self-adaptability and robustness.

关键词： Wireless Sensor Networks LSM Self-adaptability localization algorithm

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Triangle and centroid localization algorithm based on distance compensation

Triangle and centroid localization algorithm based on distan...

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IET International Conference on Information Science and Control Engineering 2012 (ICISCE 2012)

作者： Ye Shang Zhigang Liu Jinkuan Wang Xianda Xiao Northeastern University Shenyang Liaoning CN

ISBN: (纸本)9781629939254

Solutions for localization have become more critical with recent advancements in short-range wireless communication protocols and location-aware technologies. The assumed condition of three circles intersecting to form an overlapping area in triangle and centroid localization algorithm cannot be met in practical situations. In this paper, we propose the triangle and centroid localization algorithm based on distance compensation because of the impracticability of triangle and centroid localization algorithm. Finally, experimental results show that the proposed algorithm is workable for localization.

关键词： localization algorithm Received Signal Strength Indicator (RSSI) anchor nodes centroid Centroid Triangle algorithms compensated

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A weighted centroid localization algorithm based on RSSI adaptive value coupled with two norm improvements

A weighted centroid localization algorithm based on RSSI ada...

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2018 3rd International Conference on Automation,Mechanical Control and Computational Engineering(AMCCE 2018)

作者： Chao Cheng Zhi-yang Jiang changchun university of technology

This paper proposes an improved localization algorithm based on signal strength(RSSI) adaptive value and two norm. In the localization process of the algorithm, the RSSI values as a direction vector, meet is qualitative, additivity is homogeneous and times, the RSSI values as a function with the concept of ‘length'.In the actual positioning of the finite dimensional space, meet the Minkowski theorem and Cauchy convergence principle. The adaptive value and the second norm can effectively reduce the error of the weight and improve the positioning accuracy of the node. Through MATLAB simulation, the improved average positioning accuracy of this paper improved by 1.675 m compared with the traditional centroid positioning algorithm, and the optimization rate reached 52.8%, which proves that the improved algorithm has some reference significance in positioning research.

关键词： centroid adaptive value localization algorithm signal strength

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An improved DV-Hop localization algorithm for Wireless Sensor Networks

An improved DV-Hop localization algorithm for Wireless Senso...

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IET International Conference on Wireless Sensor Network 2010 (IET-WSN 2010)

作者： Kai Chen Zhong-hua Wang Me Lin Min Yu College of Computer Information Engineering Jiangxi Normal University Nanchang Jiangxi China Jiangxi Normal University Nanchang Jiangxi China

ISBN: (纸本)9781617825057

Based on the characteristics of the DV-Hop, an improved scheme is proposed for this typical range-free localization algorithm in wireless sensor network. It can improve the location accuracy when the sensor nodes distribute non-uniformly. The main principle of the improved scheme is estimating distance of the hops according to the number of neighbours in the same block. In order to reduce the localization error, it uses weighted node distances to calculate the node's final coordinate. The result of the simulation and experiment show its superiority in locating precision.

关键词： DV-Hop Wireless Sensor Networks localization algorithm range-free Wireless sensor networks positioning accuracy Neighbor Humulus algorithms Simulation results Ganglia

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Analysis and Improvement for MDS localization algorithm

Analysis and Improvement for MDS Localization Algorithm

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2012 IEEE 3rd International Conference on Software Engineering and Service Science（ICSESS 2012）

作者： Chuanhui Huang,Zhan Xu,Xiu Li Research Institute of Electronic Science and Technology University of Electronic Science and Technology of China Chengdu,P.R.China

Wireless sensor networks(WSNs),which is utilized in a broad region,is able to monitor and collect various information of different *** plays a critical role in ***,many localization algorithms are proposed such as the classical MDS localization *** has a low accuracy in large scale of sensor network with a lot of *** this defect,this paper proposes a improvement algorithm based on fuzzy-c *** results of simulation show that the improvement algorithm has a higher accuracy than the classical MDS localization algorithm in large scale of sensor network.

关键词： WSN localization algorithm MDS styling fuzzy-c means

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A theoretical and empirical model based RSSI localization algorithm

A theoretical and empirical model based RSSI localization al...

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2017 2nd International Conference on Automation,Mechanical Control and Computational Engineering(AMCCE 2017)

作者： Pingfang Hu Suyu Huang School of computer Wuhan Donghu University

Aiming at the application fields of road monitoring,pipeline transmission and line transmission,a method of one-dimensional continuous positioning based on RSSI value is proposed by combining theoretical model and empirical *** with RADAR and 1-DEMRSSI method,this method improves the positioning accuracy under the condition that the computational processing workload increases *** the same time,the method can greatly reduce the number of reference test points.

关键词： wireless sensor networks localization algorithm continuous positioning one-dimensional

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Shelf System localization algorithm Research based on RFID Technology

Shelf System Localization Algorithm Research based on RFID T...

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2016 3rd International Conference on Materials Engineering,Manufacturing Technology and Control(ICMEMTC 2016)

作者： Li Zhu Jian Lan Liu College of Mathematics and Computer Science Jiangxi Science and Technology Normal University

With the rapid development of information technology, radio frequency technology application has become an important symbol of intelligence realization. According to the requirements of intelligent bookshelf system, this paper analyzes and designs intelligent bookshelf system structure from two aspects of hardware and software. In determining positioning algorithm of intelligent bookshelf system, analyze the classification of indoor location algorithm and advantages and disadvantages of various algorithms, select RFID indoor localization algorithm because of intelligent bookshelf system's actual demand for location selection, and improve it on the basis of LANDMARC system algorithm. Analyze from received power selection, reference label distribution, nearest neighbors number set and algorithm weight set and so on, design books accurate localization algorithm scheme, and make experiments to test the experimental data and algorithm validation to effectively improve smart shelves system book positioning accuracy.

关键词： localization algorithm RFID technology Smart shelves Reference label Database

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A Robust localization algorithm for Wireless Sensor Networks

A Robust Localization Algorithm for Wireless Sensor Networks

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The 4th International Conference on Wireless Communications, Networking and Mobile Computing(第四届IEEE无线通信、网络技术及移动计算国际会议)

作者： Jia Zhang Junyong Luo Xiangyang Luo Department of Network Engineering Information Science and Technology Institute Zhengzhou 450002 China

Most of localization algorithms in wireless sensor networks need the location information of reference nodes to locate the unknown nodes. When the location information is tampered by the attacks or errors, the accuracy of these algorithms will degrade badly. An improved existing typical APIT algorithm –AVNRP (APIT based on Von Neumann Rejection Principle), is proposed in this paper. The experiment results demonstrate that AVNRP has better robustness than original algorithm.

关键词： wireless sensor networks localization algorithm Von Neumann Rejection Principle distribution trait robustness

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A Spatially-Regularized Dynamic Source localization algorithm for EEG

A Spatially-Regularized Dynamic Source Localization Algorith...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： E. Pirondini B. Babadi C. Lamus E. N. Brown P. L. Purdon Department of Anesthesia Critical Care and Pain Medicine Massachusetts General Hospital Boston MA

ISBN: (纸本)9781424441198

Cortical activity can be estimated from electroencephalogram (EEG) or magnetoencephalogram (MEG) data by solving an ill-conditioned inverse problem that is regularized using neuroanatomical, computational, and dynamic constraints. Recent methods have incorporated spatio-temporal dynamics into the inverse problem framework. In this approach, spatiotemporal interactions between neighboring sources enforce a form of spatial smoothing that enhances source localization quality. However, spatial smoothing could also occur by way of correlations within the state noise process that drives the underlying dynamic model. Estimating the spatial covariance structure of this state noise is challenging, particularly in EEG and MEG data where the number of underlying sources is far greater than the number of sensors. However, the EEG/MEG data are sparse compared to the large number of sources, and thus sparse constraints could be used to simplify the form of the state noise spatial covariance. In this work, we introduce an empirically tailored basis to represent the spatial covariance structure within the state noise processes of a cortical dynamic model for EEG source localization. We augment the method presented in Lamus, et al. (2011) to allow for sparsity enforcing priors on the covariance parameters. Simulation studies as well as analysis of real data reveal significant gains in the source localization performance over existing algorithms.

关键词： A Spatially-Regularized Dynamic Source localization algorithm

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