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Underwater Acoustic Sensor Network Nodes Targeting And Optimization Strategies

International Conference on Mechatronics and Materials Processing (ICMMP 2011)

作者： Zhang, Hua Liu, Yu Liang Zhejiang Ocean Univ Sch Elect Engn Zhoushan 316000 Zhejiang Peoples R China

ISBN: (纸本)9783037852385

Wireless sensor networks more complex in the marine environment than in terrestrial environments, the independent positioning mechanism can reduce the difficulty of modeling. The study on underwater acoustic sensor network node distribution of two-dimensional and three-dimensional respectively and the establishment relation function of the distance of beacon nodes and unknown nodes which based on in the traditional centroid algorithm idea. Using Taylor series can reduce the complexity computing of nodes who sensitive to energy because of its linear approximation in a manner. Because the genetic algorithm fitness function only interested in building the corresponding function, optimizing the established function. Simulation results show that: it can achieve the nodes self-localization effectively both in two- dimension and three-dimension that the distance formulas between nodes are liberalized by Taylor series and optimized by genetic algorithms.

关键词： Underwater acoustic sensor networks Taylor series centroid algorithm Three-dimensional Node self-localization

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Research of Binocular Positioning Mathematical Model Based on the Least Square Method

Research of Binocular Positioning Mathematical Model Based o...

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International Conference on Intelligent Structure and Vibration Control (ISVC 2011)

作者： Liu Chunfeng Meng Xiaoli Zhang Huancheng Hebei United Univ Coll Sci Tangshan 063009 Hebei Peoples R China

ISBN: (纸本)9783037850206

By giving a centroid algorithm to extract pixel coordinates of each circle in the center of a circle under the coordinates, through the coordinate transformation the image coordinates can be obtained. Based on the data obtained from above to verify the model, from the specific data of the relative error, absolute error and error propagation theory to discuss the algorithm accuracy and stability. Finally using the least square method, according to the mean square error criteria for the establishment of a minimum of three-dimensional coordinate system fixed relative position of two cameras, binocular positioning mathematical models and by discussing the nature of matrix and the relationship between the relative position of the camera to calibrate the binocular digital camera.

关键词： Transition matrix centroid algorithm Least-squares Method Binocular Calibration

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Research on a Single Camera Location Model and it's Application

Research on a Single Camera Location Model and it's Applicat...

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International Conference on Intelligent Structure and Vibration Control (ISVC 2011)

作者： Liu Chunfeng Kong Shanshan Wu Haiming Hebei United Univ Coll Sci Tangshan 063009 Hebei Peoples R China

ISBN: (纸本)9783037850206

Digital cameras have been widely used in the areas of road transportation, railway transportation as well as security system. To address the position of digital camera in these fields this paper proposed a geometry calibration method based on feature point extraction of arbitrary target. Under the meaning of the questions, this paper first defines four kinds of coordinate system, that is the world coordinate system. The camera's optical center of the coordinate system is the camera coordinate system, using the same point in different coordinate system of the coordinate transformation to determine the relationship between world coordinate system and camera coordinate. And thus determine the camera's internal parameters and external parameters, available transformation matrix and translation vector indicated by the camera's internal parameters of the external parameters and the establishment of a single camera location model. According to the model, using the camera's external parameters to be on the target circle center point in the image plane coordinates.

关键词： Transition matrix centroid algorithm Least-squares Method Binocular Calibration

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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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Range-Free Localization with the Radical Line

Range-Free Localization with the Radical Line

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2010 IEEE International Conference on Communications

作者： Chen, Hongyang Chan, Y. T. Poor, H. Vincent Sezaki, Kaoru Univ Tokyo Inst Ind Sci Tokyo Japan JST CREST Tokyo Japan Royal Mil Coll Canada Dept Elect & Comp Engn Kingston ON Canada Princeton Univ Dept Elect Engn Princeton NJ USA

ISBN: (纸本)9781424464043

Due to hardware and computational constraints, wireless sensor networks (WSNs) normally do not take measurements of time-of-arrival or time-difference-of-arrival for range-based localization. Instead, WSNs in some applications use range-free localization for simple but less accurate determination of sensor positions. A well-known algorithm for this purpose is the centroid algorithm. This paper presents a range-free localization technique based on the radical line of intersecting circles. This technique provides greater accuracy than the centroid algorithm, at the expense of a slight increase in computational load. Simulation results show that for the scenarios studied, the radical line method can give an approximately 2 to 30% increase in accuracy over the centroid algorithm, depending on whether or not the anchors have identical ranges, and on the value of DOI.

关键词： Wireless sensor networks radical line localization algorithm centroid algorithm

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Testing the Verticality of Slow-axis of the Dual Optical Fiber Based on Image Processing

Testing the Verticality of Slow-axis of the Dual Optical Fib...

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6th International Conference on Wireless Communications, Networking and Mobile Computing (WICOM)

作者： Ping, Zhong Zhao, Jin Donghua Univ Dept Appl Phys Coll Sci Shanghai 201620 Peoples R China Jilin Univ ChangChun Coll Compu Sci & Technol Jilin Peoples R China

ISBN: (纸本)9781424437092

The polarization dual fiber collimator is one of the important passive devices, which could be used to transform divergent light from the fiber into parallel beam or focus parallel beam into the fiber so as to improve the coupling efficiency of fiber device. However, the quality of double-pigtail fiber used for assembling collimator directly impacts on the performance of fiber collimator. Therefore, it is necessary to detect the quality of double-pigtail fiber before collimators has been packaged to ensure the quality of fiber collimator. The paper has pointed out that the verticality of two slow-axis of the double-pigtail fiber is the major factor to affect the quality of fiber collimator. With "Panda"-type double-pigtail fiber as the research object, a novel method to detect the verticality of slow-axis is proposed. First, with the red light of LED as background light source, the clear images of the cross-section end surface of double-pigtail fiber has been obtained by micro-imaging systems;Then after a series of image pre-processing operations, the coordinate information of "cat's eye" light heart can been extracted with the image centroid algorithm;Finally, the angle between the two slow axes of the double-pigtail fiber can be calculated quickly and accurately according to pre-established mathematical model. The detection system mainly consists of CCD, microscopic imaging device, image board and image processing software developed with VC++. The experimental results prove that the system is both practical and effective and can satisfy the collimator assembly precision demands.

关键词： slow-axis detecting verticality image filtering centroid algorithm micro-imaging system background light source

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Study on the Symmetrical Laser Displacement Sensor for the Road Surface Measurement

Study on the Symmetrical Laser Displacement Sensor for the R...

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Conference on Infrared, Millimeter Wave, and Terahertz Technologies

作者： Song Hongxun Ma Ronggui Zhang Yi Ding Hui Zhang Ning Changan Univ Xian 710064 Peoples R China Res Dept Edu & Teaching Taizhou Taizhou 317000 Peoples R China China Aviat Ind NO613 Res Inst Luoyang 471009 Peoples R China

ISBN: (纸本)9780819483843

The asymmetry imaging spot caused by the CCD saturation and the scattering of uneven road surface usually leads to lower accuracy in the road surface detection. A new method of the symmetric displacement sensor for the road measurement is given. The sensor consists of two symmetrical image systems and two line scan CCDs which are arranged reversely. The centroidal algorithm is adept to calculate the coordinates of the image point of each CCD. The finial displacement is given by the average of the coordinates of the image point of two CCDs. The experimental results indicate that the symmetrical laser displacement sensor can reduce the asymmetry imaging test error and improve the precision of measurement effectively. It is very suitable for the pavement evenness, rut and texture detection.

关键词： Laser displacement sensor CCD Symmetrical arrangement centroid algorithm

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Study on the Symmetrical Laser Displacement Sensor for the Road Surface Measurement

Study on the Symmetrical Laser Displacement Sensor for the R...

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2010亚洲光电子会议红外、毫米波和太赫兹技术分会场

作者： SONG Hongxun~1 MA Ronggui~1 ZHANG Yi~2 DINGHui~1 Zhang Ning~3 (Chang'an University,Xi'an 710064,China)~1 (Research Department on Education and Teaching of Taizhou,Taizhou,317000,China)~2 (China Aviation Industry NO.613 Research Institute,Luoyang 471009,China)~3

The asymmetry imaging spot caused by the CCD saturation and the scattering of uneven road surface usually leads to lower accuracy in the road surface detection.A new method of the symmetric displacement sensor for the road measurement is *** sensor consists of two symmetrical image systems and two line scan CCDs which are arranged *** centroidal algorithm is adept to calculate the coordinates of the image point of each *** finial displacement is given by the average of the coordinates of the image point of two *** experimental results indicate that the symmetrical laser displacement sensor can reduce the asymmetry imaging test error and improve the precision of measurement *** is very suitable for the pavement evenness,rut and texture detection.

关键词： Laser displacement sensor CCD Symmetrical arrangement centroid algorithm

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Localization algorithm for Mobile Anchor Node Based on Genetic algorithm in Wireless Sensor Network

Localization Algorithm for Mobile Anchor Node Based on Genet...

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2010 International Conference on Intelligent Computing and Integrated Systems

作者： Jia Huanxiang Computer and Control College Guilin University of Electronic Technology Guilin,China Wang Yong~1,Tao Xiao ling~2 1.Computer and Control College 2.Network Center Guilin University of Electronic Technology Guilin,China

The significance of localization technology for wireless sensor network is discussed,and localization algorithm based on genetic algorithm for a mobile anchor node is *** the basis of the distance from anchor node to unknown node is measured by RSSI,the algorithm combines weighted centroid method and genetic algorithm in order to locate the unknown ***,weighted centroid method is used to get the initial estimated,and then genetic algorithm is adopted to locate *** paper carries out simulation experiments on moving time,moving speed of the anchor, iterative times respectively,and the result shows that the proposed algorithm has strong expanded ability,low computing complexity,and can significantly reduce the localization error and the number of anchor nodes.

关键词： wireless sensor networks mobile anchor node localization centroid algorithm genetic algorithm

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A Cooperative Target Location algorithm Based on Time Difference of Arrival in Wireless Senor Networks

A Cooperative Target Location Algorithm Based on Time Differ...

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IEEE International Conference on Mechatronics and Automation

作者： Peng, Pengfei Luo, Hao Liu, Zhong Ren, Xiongwei Naval Univ Engn Dept Comand & Automat Wuhan Hubei Peoples R China

ISBN: (纸本)9781424426928

In order to improve the location accuracy of the centroid algorithm in binary-detection sensor networks, a cooperative target location algorithm based on time difference of arrival was proposed. This algorithm only needs the position information and the target signal arrival time information of four nodes;it is simple in principle and calculation. Besides, because this algorithm used the centroid information of the four nodes, the algorithm can tolerant some minor error including the node position error and the time difference error. Simulations were made, and the results shows that the algorithm can realize accurate target location when there is none of error in the information of node information and time difference of arrival time, and the effectiveness of the algorithm is better than the centroid algorithm when there are minor error in the information of node position and time difference of arrival time.

关键词： wireless sensor networks time difference of arrival centroid algorithm

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