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- W2361657413 abstract "A generalized distributed track-to-track association method is proposed for multiple targets tracking in collaborative sensor network.Firstly,by analyzing the traditional sequence track-to-track association rules,all pairwise likelihood function and generalized track-to-track association statistic of the distributed tracking are constructed.On the basis of that,the mathematical model of the generalized track-to-track association is established.Then the distributed track-to-track association question is translated into the multiple dimension assignment.Secondly,the optimal association relationship among tracks is searched by using the improved immunity algorithm.The whole track-to-track association course includes two stages.At first,the unrelated track combination is eliminated by using the chi-square distribution hypothesis test,and then the multiple sensors multiple tracks association relationship is confirmed according to the immunity antibody fitness.Finally,the proposed method is evaluated by utilizing some track-to-track association performance parameters.Simulation results show that the association stability and the association effect of the new method are improved obviously compared with the traditional sequence pairwise association method." @default.
- W2361657413 created "2016-06-24" @default.
- W2361657413 creator A5052651985 @default.
- W2361657413 date "2012-01-01" @default.
- W2361657413 modified "2023-09-24" @default.
- W2361657413 title "Generalized distributed track-to-track association algorithm for collaborative network tracking" @default.
- W2361657413 hasPublicationYear "2012" @default.
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