A Novel Time Synchronization Method for Multiple Moving Platforms Cooperation Tracking System

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Abstract:

For a cooperation imaging tracking system consisting of multiple moving platforms, time synchronization among these platforms was a critical demand. Based on the study of the hardware time model, the software Scheduling model, and data interaction & fusion process, a novel time synchronization method modified from RBS protocol was proposed. In the proposed method, firstly each platform used hardware to count the accurate sending period of the centre fusion node. Then the time error was extracted in each platform locally. Finally the extracted time error was used in the software time model to accomplish the time synchronization. The implementation structure and the precision of the proposed synchronization method were given in the paper.

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Periodical:

Advanced Materials Research (Volumes 341-342)

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570-574

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September 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Ke Zhou, Stergios I. Roumeliotis. Multirobot Active Target Tracking With Combinations of Relative Observations. IEEE Transactions On Robotics, Vol. 99 (2011), pp.1-18.

DOI: 10.1109/tro.2011.2114734

Google Scholar

[2] Bohyung Han, Seong-Wook Joo, Larry S. Davis. Multi-Camera Tracking with Adaptive Resource Allocation. International Journal of Computer Vision, Vol. 91 (2010), pp.45-58.

DOI: 10.1007/s11263-010-0373-3

Google Scholar

[3] Musicki,D. Bearings only multi-sensor maneuvering target tracking. Systems and Control Letters, Vol. 57 (2008), p.216–221.

DOI: 10.1016/j.sysconle.2007.08.008

Google Scholar

[4] Mittal, A., Davis, L.S. M2tracker: a multi-view approach to segmenting and tracking people in a cluttered scene. International Journal of Computer Vision, Vol. 51 (2003), p.189–203.

DOI: 10.1007/3-540-47969-4_2

Google Scholar

[5] Deng Ying-na, Zhu Hong, Li Gang, Liu Wei. Object Recognition Based on Color Invariance and Entropic Graph with Multiple Cameras. Journal of Computer-aided Design & Computer Graphics. Vol. 21 (2009), pp.777-781.

Google Scholar

[6] Jia Chao-guang, Tao zhan-jie, Zhang Shuang, etc. On Dual Cameras Synchronization for High Speed Photogrammetry System. Journal of Geomatics Science and Technology. Vol. 26 (2008), pp.76-78.

Google Scholar

[7] Chen Wei, Zhang Pi-zhao. Frequency Measurement Method of Synchronization Clock Calibration in Distributed Testing System. Journal of Detection & Control. Vol. 31 (2009), pp.69-72.

Google Scholar

[8] Wang Gang, Huang Fei, Qiao Chunjie. Research of c1ock synchronization in distributed network. Chinese Journal of Scientific Instrument , Vol. 29 (2008).

Google Scholar

[9] Christian Frank, Kay Römer, Algorithms for generic role assignment in wireless sensor networks, Proceedings of the 3rd international conference on Embedded networked sensor systems, San Diego, California, USA (2005).

DOI: 10.1145/1098918.1098944

Google Scholar

[10] Jeremy Elson , Lewis Girod, Deborah Estrin, Fine-grained network time synchronization using reference broadcasts, Proceedings of the 5th symposium on Operating systems design and implementation, Boston, Massachusetts (2002).

DOI: 10.1145/1060289.1060304

Google Scholar