谈判式时空整体决策信息融合方法研究
A PARLEY-TYPE TEMPORAL-SPATIAL GROUP DECISION-MAKING APPROACH OF DATA FUSION
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摘要: 加权求和是信息融合处理中一种简单、有效的方法,但如何确定加权系数,将直接影响到融合处理的效果。有鉴于此,该文提出了基于信息不确定性、传感器之间一致性和各传感器性能的信息度量函数融合熵,并给出了基于融合熵的权系数计算方法,针对红外/毫米波多传感器系统的实际背景,设计了谈判式时空整体决策融合算法。实验结果表明算法运算量小,容错性能高,取得了满意的正确识别结果。Abstract: Weighted method of data fusion is a simple and effective method, and the weighted coefficient determines the effect of fusion. In this paper, an entropy function is provided to measure fusion information, which relates the uncertainty of data, the consensus among sensors and the performance parameters of every sensor. Then a weighted fusion method based on entropy function is developed. Considering the practical IR/mmW multisensor system , a parley temporal-spatial group decision-making fusion algorithm can...
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E. Waltz, Multisensor Data Fusion, Boston, MA, Artech House, 1990, Ch3,4.[2]M. Stone, The opinion pooling, Annals of Statistics, 1973, 32(6), 1339 1342.[3]M.H. DeGroot, Reaching a consensus, Journal of the American Statistical Association, 1974,69(3), 118-123.[4]Lang Hong, Centralized/distributed recursive algorithms for ftsion by D-S techniques with application to target indentification, IEEE Trans. on AES, 1992, AES-28(4), 1256 1264. -
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