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分布式云平台在舰船目标检测中的应用研究

Research on the ship target tracking and monitoring system based on distributed cloud platform
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摘要 在现代海上军事领域,船舶目标跟踪监测系统一直是其重要的研究方向,其监测跟踪的精度、准确度及效率是衡量系统的3个最重要的性能指标。传统的舰船目标跟踪监测系统是基于单处理中心,监测跟踪算法的处理精度及效率已经越来越不能满足现代海上军事系统的性能要求。本文研究基于云计算的分布式平台,分析海上目标跟踪监测中的噪声滤波,结合帧间差分法及背景差分法,提出的基于分布式云平台的舰船目标监测算法,提高了算法效率。 In the modern marine military field,the ship target tracking and monitoring system has been an important research direction. The accuracy,accuracy and efficiency are three important performance indexes. The traditional ship target tracking and monitoring system is based on the single processing center,has become increasingly unable to meet the performance requirements of modern maritime military systems.This paper research the distributed platform based on cloud computing,analyzes noise filtering in marine target tracking and monitoring system,proposed the ship target tracking and monitoring system based on distributed cloud platform.
作者 李磊 苏建华
出处 《舰船科学技术》 北大核心 2016年第5X期112-114,共3页 Ship Science and Technology
关键词 目标跟踪监测系统 滤波算法 云计算 target tracking and monitoring system filtering algorithm cloud computing
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  • 1夏克寒,许化龙,张朴睿.粒子滤波的关键技术及应用[J].电光与控制,2005,12(6):1-4. 被引量:34
  • 2Musso C, Oudjane N, Legland F. Improving regularized particle filters[ M] //Doucet A, de Freitas J F G, Gordon N J [ M ]. Sequential Monte Carlo Methods in Practice. New York : Springer-Verlag,2001:247 - 272.
  • 3Crisan, Dan, Doucet, Arnaud. A Survey of Convergence Resuits on Particle Filtering Methods for Practitioners [ J ]. IEEE Transactions on Signal Processing ,2002,50 ( 3 ) : 736 - 746.
  • 4Bruno, Marcelo G S. Improved Sequential Monte Carlo Filtering for Ballistic Target Tracking[ J]. IEEE Transactions on Aerospace and Electronic Systems, 2005,41 ( 3 ) : 1103 - 1108.
  • 5Douceta,Godsill S, AND - EU C. On sequential Monte Carlo sampling methods for Bayesian filtering[ J]. Statistics and Computing ,2000,10( 3 ) : 197 - 208.
  • 6Bergman N, Bayesian R. Estimation:Navigation and tracking applications [ D ]. Sweden : Linkoping University, 1999.
  • 7Gustafsson F, Gunnarsson F, Bergman N, et al. Particle filters for positioning, navigation and tracking [ J ]. IEEE Transaction on Signal Processing,2002,50 ( 2 ) :425 - 437.
  • 8孙福明,吴秀清,祁凯.基于当前统计模型的自适应强跟踪算法[J].数据采集与处理,2008,23(2):191-195. 被引量:22
  • 9隋红波,房晓颖,吴瑛.改进的当前统计模型及自适应跟踪算法[J].雷达科学与技术,2008,6(3):202-205. 被引量:13
  • 10莫以为,萧德云.基于粒子滤波算法的混合系统监测与诊断(英文)[J].自动化学报,2003,29(5):641-648. 被引量:34

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