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- W2392498176 abstract "To solve the problems that the parallel implementation outcome of centralized Multisnesor Joint Probabilistic Data Association (MSJPDA) algorithm filter is often emanative in simulations,and the MSJPDA algorithm has a high computation burden,a modified parallel centralized MSJPDA algorithm is presented. The modified algorithm provides a coefficient for correction of each sensor using probabilistic data association technique in state estimation. Then,suboptimal JPDA technique is applied to the MSJPDA algorithm and the computational cost of simplified algorithm is reduced. Some typical simulations are performed and the results show that tracking performance of the algorithm is much better than that of MSJPDA existed." @default.
- W2392498176 created "2016-06-24" @default.
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- W2392498176 date "2009-01-01" @default.
- W2392498176 modified "2023-09-23" @default.
- W2392498176 title "Sub-optimal MSJPDA algorithm based on probability weight" @default.
- W2392498176 hasPublicationYear "2009" @default.
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