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Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) 2006年第2期30卷 265-268页

作者： Chen, Weike Li, Wenfeng Shou, Heng Yuan, Bing School of Logistics Eng. WUT Wuhan 430063 China Dept. of Mechanical Eng. Hunan Metallurgical Professional Technology College Zhuzhou 412000 China Hunan Railway Professional Technology College Zhuzhou 412000 China

Localization of nodes is a key technology for application of wireless sensor network. By analyzing the model of radio wave propagation loss, this paper provides a weighted centroid localization algorithm that uses coefficients, which are decided by the influence of beacons to unknown nodes, to prompt localization accuracy. A criterion which is used to select beacon nodes for computing the position of nodes and improving localization accuracy is also suggested. Weighted centroid localization algorithm is simple and no communication is needed while locating. The weighted centroid localization algorithm has higher accuracy than maximum likelihood estimation and can be applied to many applications.

关键词： Beacon node centroid algorithm Localization Maximum likelihood estimate Wireless sensor network

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Subpixel position measurement using 1D, 2D and 3D centroid algorithms with emphasis on applications in confocal microscopy

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JOURNAL OF MICROSCOPY-OXFORD 1997年第0期186卷 246-257页

作者： Patwardhan, A ROYAL INST TECHNOL S-10044 STOCKHOLM SWEDEN

The accuracy with which centroid algorithms in 1D, 2D and 3D can estimate an object's position has been investigated. Three factors that can influence the method's accuracy have been investigated: systematic error of the algorithm, influence of photon noise and the influence of perturbations such as scanning nonlinearity. The variation of the accuracy with parameters that are relevant for confocal microscopy, such as object diameter and photon noise/pixel, has been considered. Theory and simulations presented show that the variation of the accuracy with respect to such parameters can differ drastically between the 1D, 2D and 3D cases. Experiments performed using microspheres show that the magnitudes of the three types of error can be approximately the same under normal operating conditions and that it is therefore necessary to take all three into account when assessing the total error.

关键词： centroid algorithm confocal microscopy distance measurement microspheres perturbations photon statistics position measurement subpixel threshold

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An Improved centroid DV Hop Based algorithm

An Improved Centroid DV Hop Based Algorithm

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Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE)

作者： Agarwal, Harshit Dwivedi, Ananya Kaur, Amanpreet Jaypee Inst Informat Technol Dept CSE & IT Noida India

ISBN: (纸本)9781509039784

To reduce the positioning error in localization algorithms, an improved DV Hop based localization algorithm is proposed which takes the influence of closest anchor. Firstly, the smallest number of hops is computed for all nodes from every anchor. Then, distance of every unknown node from each anchor node is determined. Then highly accurate 2D Hyperbolic algorithm is applied to determine coordinates of all unknown nodes. In last step, every unknown node applies centroid method which uses impact of nearest anchor to get final coordinates. The proposed algorithm is implemented and simulated in Matlab and it is observed that it outperforms original algorithm in terms of localization error when varying anchor nodes, communication range, unknown nodes.

关键词： Wireless Sensor Network range free DV Hop Localization 2D Hyperbolic centroid algorithm

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Systematic error analysis and compensation for high accuracy star centroid estimation of star tracker

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Science China(Technological Sciences) 2010年第11期53卷 3145-3152页

作者： JIA Hui YANG JianKun LI XiuJian YANG JunCai YANG MengFei LIU YiWu HAO YunCai Institute of Technique Physics Science CollegeNational University of Defense TechnologyChangsha 410037China Beijing Institute of Control Engineering National Laboratory of Space Intelligent ControlBeijing 100190China China Academy of Space Technology Beijing 100094China

Subpixel centroid estimation is the most important star image location method of star tracker. This paper presents a theoretical analysis of the systematic error of subpixel centroid estimation algorithm utilizing frequency domain analysis under the con-sideration of sampling frequency limitation and sampling window limitation. Explicit expression of systematic error of cen-troid estimation is obtained, and the dependence of systematic error on Gaussian width of star image, actual star centroid loca-tion and the number of sampling pixels is derived. A systematic error compensation algorithm for star centroid estimation is proposed based on the result of theoretical analysis. Simulation results show that after compensation, the residual systematic errors of 3-pixel-and 5-pixel-windows’ centroid estimation are less than 2×10-3 pixels and 2×10-4 pixels respectively.

关键词： star tracker star image location subpixel centroid estimation centroid algorithm frequency domain analysis systematic error compensation

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Investigating of antenna selection for the adaptive centroid localization systems

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INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS 2015年 167卷 119-127页

作者： Yuangyai, Chumpol Pan, Chung-Yu Lin, Yi-Jou Cheng, Chen-Yang King Mongkuts Inst Technol Ladkrabang Dept Ind Engn Bangkok 10520 Thailand Tunghai Univ Dept Ind Engn & Enterprise Informat Taichung 40704 Taiwan Natl Taipei Univ Technol Dept Ind Engn & Management Taipei 10608 Taiwan

Location-based services are widely integrated in our daily lives, and they are used in various ways such as for investigating inventory goods and personal tracking in healthcare. With increasing applications of wireless localization, accuracy of location estimation requirements has become more critical. However, indoor localization suffers from multi-path interference that affects the traditional algorithmic calculation methods based on radio signal strength. The strength of radio signal depends significantly on antenna types and the deployment of wireless sensor network. Therefore, the aim of this paper is to investigate a robust deployment of wireless sensor network considering antennas and optimal signal range to increase signal strength and to reduce receiving signal missing. A bi-response design approach was taken to evaluate antenna selection, signal range, and antenna power rate. The experiment result was applied with existing algorithm to prove effectives. Further, to avoid wireless sensors collision which may result in low accuracy of receiving radio signal, adaptive weight center of gravity localization (AWCG) were proposed. AWCG is based on an assumption of the dynamic relationship between the radio signal strength and the distance in different environments at different times. In the proposed localization algorithm, the error distance was approximately one meter. It is expected to significantly improve the location estimation accuracy with the suggested deployment and proposed algorithm. (C) 2015 Elsevier B.V. All rights reserved.

关键词： Wireless sensor network Indoor localization RFID deployment centroid algorithm

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Accuracy of RSS-Based centroid Localization algorithms in an Indoor Environment

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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2011年第10期60卷 3451-3460页

作者： Pivato, Paolo Palopoli, Luigi Petri, Dario Univ Trento Dept Comp Sci & Informat Engn I-38123 Trento Italy

In this paper, we analyze the accuracy of indoor localization measurement based on a wireless sensor network. The position estimation procedure is based on the received-signal-strength measurements collected in a real indoor environment. Two different classes of low-computational-effort algorithms based on the centroid concept are considered, i.e., the weighted centroid localization method and the relative-span exponential weighted localization method. In particular, different sources of measurement uncertainty are analyzed by means of theoretical simulations and experimental results.

关键词： centroid algorithm localization propagation model wireless sensor networks (WSNs)

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centroid Location Technology Based on Fuzzy Clustering and Data Consistency 4th

Centroid Location Technology Based on Fuzzy Clustering and D...

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4th International Conference on Cloud Computing and Security (ICCCS)

作者： Xue, Shanliang Li, Mengying Yang, Peiru Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing Jiangsu Peoples R China

ISBN: (纸本)9783030000189;9783030000172

RSSI technology has no additional hardware support, low energy consumption and low cost, but it has poor adaptability in different environments which would result in large errors when mapping RSSI signal to the measurement distance between nodes directly. In order to improve localization accuracy of Wireless Sensor Network, we propose a centroid Localization based on Fuzzy Clustering and Data Consistency. Firstly, the measurement distance is preprocessed, and the anchor node with the largest received signal strength is found as the reference node to eliminate the measurement error within communication range of unknown nodes. Secondly, Fuzzy Clustering and Data Consistency are used to remove the coarse error. Finally, the improved Weighted centroid algorithm is used to locate unknown nodes. The simulation results show that the FCDC-CL algorithms average localization error is approximately 9.4% and the error is significantly reduced compared with the traditional WCL algorithm.

关键词： Wireless sensor network Node localization RSSI centroid algorithm Fuzzy clustering Data consistency

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Calculation of binary image centroid by using TMS320C25

Calculation of binary image centroid by using TMS320C25

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Conference on Electronic Imaging and Multimedia Systems II

作者： Du, ZL Zhang, YL Weng, JY Song, L Changchun Inst Opt & Fine Mech Dept Elect Engn Changchun 130022 Peoples R China

ISBN: (纸本)0819430226

In order to meet the requirement of calculating the binary image centroid quickly in real time signal processing,autors used second generation's DSP TM320C25(made by Tl),gave full play its object image centriod quickly simplified traditional algorithm of centroid calculation and calculated image centriod by combining software and hardware.

关键词： signal processing TMS320C25 centroid algorithm calculating centroid

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centroid Based 3D Localization Technique Using RSSI With a Mobile Robot

Centroid Based 3D Localization Technique Using RSSI With a M...

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International Symposium on Wireless Personal Multimedia Communications (WPMC)

作者： Amarlingam, M. Rajalakshmi, P. Netad, Vinod Kumar Yoshida, Masaya Yoshihara, Kiyohito Indian Inst Technol Hyderabad Dept Elect Engn Hyderabad Andhra Prades India KDDI R&D Labs Inc Green & Applicat Lab M2M Iidabashi Japan

ISBN: (纸本)9789860334074

Knowledge of sensor node 3D location in a sensor network is more important, because many practical applications needs to know the location of sensor data source. This paper presents a new technique for finding indoor 3D location of a sensor node by using Received Signal Strength Indication (RSSI). Proposed localization algorithm is derived from centroid algorithm with composition of empirical path loss model. It gives less error in estimating 3D location of sensor node in a sensor network when compared to its actual location. algorithm has been implemented and analysed by using IITH motes and a Mobile Robot.

关键词： RSSI centroid algorithm 3D localization

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Extracting the centroid from the Sun-moon Image in Astronomy Orientation 33

Extracting the Centroid from the Sun-moon Image in Astronomy...

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33rd Chinese Control Conference (CCC)

作者： Han Yong-qi Bai Yong-qiang Jia Feng-kai Beijing Inst Technol Dept Automat Beijing 100081 Peoples R China Minist Educ Key Lab Complex Syst Intelligent Control & Decis Beijing 100081 Peoples R China

ISBN: (纸本)9781479947249

In astronomical orientation, we usually choose the sun, the moon as observation objects, using the theodolite to obtain the horizontal and vertical scale readings as the crosshair theodolite and astral edge are tangent. This operation is subjective to human disturbance, affecting the orientation precision afterwards. Comparing to the previous method, the method of image processing is much simple in operation, and reduces the manual intervention as long as the sun and the moon are within the scope of the CCD imaging. After imaging, we first extract the object centroid coordinates from the embedded image module, and then according to the imaging model, we get the angle of visual axis interacts with the center line of the stars. This article analyzes the main characteristic of the sun-moon image and discusses the various circumstances image centroid algorithm for fitting. The algorithm is able to separate the sun and moon from complex background environment. Besides, even in the cases of the poor quality of the images, such as stars appear some incompleteness, low star brightness, or fuzzy boundaries, the algorithm can still locate the edge effectively with better fitting.

关键词： Astronomical Orientation Image Processing centroid algorithm

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