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In practice, the fusion center of distributed multisensor system has to deal with out-of-sequence local estimated data. By considering the relation between local fusion estimation and fusion center, the estimation from local fusion nodes is regarded as a pseudo-measurement in this paper. Then the distributed estimation algorithm is turned to be two-level centralized fusion estimation and the new optimal...
Fusing out-of-sequence information is a problem of growing importance for multi-sensor target tracking systems due to sensors embedded in complicated network architectures. The problem of how to deal with these updates has received much attention in recent years and has been solved optimally and suboptimally by various authors. Most of the solutions treated only the problem of updating a track by...
By considering the relation between local fusion estimation and fusion center, in this paper the estimation from local fusion nodes is regarded as a pseudo-measurement. Then the distributed estimation algorithm is turned to be two-level centralized fusion estimation and the new optimal distributed fusion estimation algorithm is obtained with Kalman filtering form, which in general only centralized...
In multisensor target tracking systems measurements from the same target can arrive out of sequence. How to fuse out-of-sequence information is a very important problem for distributed multisensor target tracking systems. Local sensors send their track to a fusion center and then the fusing center uses these track data from one or more sensors to update. In this paper, we obtain the out-of-sequence...
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