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基于多源信息融合的水下航行器航迹测量方法
引用本文:陈观强,张磊,黎潇.基于多源信息融合的水下航行器航迹测量方法[J].海洋测绘,2014(1):30-33.
作者姓名:陈观强  张磊  黎潇
作者单位:[1] 海军司令部潜艇部,北京,100036 [2] 92337部队,辽宁大连,116023
摘    要:针对水下航行器航迹实时分析的需求,提出了一种基于多源信息融合的测量方法。通过传感器获得水下航行器状态信息,利用主成分分析方法将试验数据作为一变量,定义总体的各主成分,利用测量值与主成分的复相关关系,给出了各传感器的综合支持程度和数据融合公式,完成多源数据的融合。应用实例验证了该方法的有效性和精确性,能够提高试验数据的可信度。

关 键 词:水下航行器  多源信息  信息融合  航迹测量

The Measurement Method of Underwater Vehicle Track Based on Multi-source Information Fusion
CHEN Guanqiang,ZHANG Lei,LI Xiao.The Measurement Method of Underwater Vehicle Track Based on Multi-source Information Fusion[J].Hydrographic Surveying and Charting,2014(1):30-33.
Authors:CHEN Guanqiang  ZHANG Lei  LI Xiao
Institution:1. Submarine Department of Naval Headquarters, Beijing 100036, China; 2. 92337 Troops, Dalian 116023, China)
Abstract:Aiming at the needs of underwater vehicle track real-time analysis during equipment operational test, a measurement method based on multi-source information fusion was proposed. Underwater vehicles state information was obtained through multi-sensor. A new fusion method was proposed based on the principle component analysis. The method viewed the measured data of every sensor as a variant. After defining each principle components for the collectivity, the synthesis support degrees of all sensors were given according to the compound relationship between the measured value and the principle component. The formula of data fusion was obtained. The applied example proved that the method was both effective and accurate. The reliability of the test data was improved.
Keywords:underwater vehicle  multi-source information  information fusion  track measurement
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