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《Control and Decision》 2008-11
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Adaptive decision fusion for multiple hypotheses maximum joint probability decision rule

TIAN Sen-yuan1,CHEN Yong1,HUSTON Dryver R2,SUN Bing-nan1(1.College of Civil Engineering and Architecture,Zhejiang University,Hangzhou 310027,China;2.Department of Mechanical Engineering,The University of Vermont,VT05405-0156,USA)  
To obtain the corresponding adaptive decision fusion methodology for multiple hypotheses based on the maximum joint probability(MJP) fusion rule,by using partial differentiation involving with simple counting technology,the increment expression of each coefficient in the rule is given,and its convergence is proved.The algorithm derived can deal with the decision fusion system under the condition that the parameter is unknown or changed varied with time.Comparing with classical algorithm,the adaptive algorithm shows its superiority,under the condition of dealing with an two hypothesis adaptive decision fusion case.In the multiple hypothesis case study,the effectiveness of proposed algorithm is indicated,and the fast convergence strategy is also developed and applied to the adaptive decision fusion.
【Fund】: 美国交通部基金项目(DTOS59-06-G-00048)
【CateGory Index】: N945.25
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