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多传感器信息融合研究进展与展望
引用本文:何友,关欣,王国宏.多传感器信息融合研究进展与展望[J].宇航学报,2005,26(4):524-530.
作者姓名:何友  关欣  王国宏
作者单位:海军航空工程学院信息融合技术研究所,烟台,264001
基金项目:国家自然科学基金(60172033);全国优秀博士论文作者专项资金(200036);高校骨干教师资金(3240)
摘    要:介绍了信息融合定义的新认识、信息融合系统功能模型和结构模型的新发展,并就多传感器信息融合中的分布式检测融合、航迹起始、检测与跟踪的联合优化、主被动传感器系统数据关联、估计融合模型、传感器管理、非线性滤波所采用的数学工具等若干关键技术的新成果与新动向展开了讨论,详细阐述了各项技术的一些有代表性的最新进展及其在多传感器信息融合系统中的应用和发展情况。最后对多传感器信息融合技术的研究动向进行了展望,提出了今后的发展趋势和我们的研究策略。

关 键 词:信息融合  多传感器  进展  展望
文章编号:1000-1328(2005)04-0524-06
收稿时间:06 24 2004 12:00AM
修稿时间:2004-06-24

Survey on the Progress and Prospect of Multisensor Information Fusion
HE You,GUAN Xin,WANG Guo-hong.Survey on the Progress and Prospect of Multisensor Information Fusion[J].Journal of Astronautics,2005,26(4):524-530.
Authors:HE You  GUAN Xin  WANG Guo-hong
Abstract:This paper mainly introduces the new cognition of the concept on multisensor information fusion (MSIF) and the new development of function models, architectural models for MSIF systems, basing on the author's research during recent years. The new achievements and new trends of some key technologies for MSIF, such as distributed detection fusion, track initiation, joint optimization of detection and tracking, data association for heterogeneous sensors, estimated fusion models, sensors management,nonlinear filtering and the mathematical tools etc., are discussed. Then some representative new developments of the technologies and the applications in the MSIF system are described in detail. Finally, the authors predict the development trend of MSIF technologies and propose our research policies.
Keywords:Information fusion  Multisensor  Progress  Prospect
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