談判式時空整體決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: 加權求和是信息融合處理中一種簡單、有效的方法,但如何確定加權系數(shù),將直接影響到融合處理的效果。有鑒于此,該文提出了基于信息不確定性、傳感器之間一致性和各傳感器性能的信息度量函數(shù)融合熵,并給出了基于融合熵的權系數(shù)計算方法,針對紅外/毫米波多傳感器系統(tǒng)的實際背景,設計了談判式時空整體決策融合算法。實驗結(jié)果表明算法運算量小,容錯性能高,取得了滿意的正確識別結(jié)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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