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| SEQUENTIAL ALGORITHM FOR MULTISENSOR PROBABILISTIC DATA ASSOCIATION | |
| 引用本文： | Hu Wenlong, Mao Shiyi(Dept of Electronic Engineering,Bejiing University of Aeronauticsand Astronatutics,Beijing,100083,China). SEQUENTIAL ALGORITHM FOR MULTISENSOR PROBABILISTIC DATA ASSOCIATION[J]. 中国航空学报, 1997, 0(2) |
| 作者姓名： | Hu Wenlong Mao Shiyi(Dept of Electronic Engineering Bejiing University of Aeronauticsand Astronatutics Beijing 100083 China) |
| 作者单位： | Dept of Electronic Engineering，Bejiing University of Aeronauticsand Astronatutics，Beijing，100083，China |
| 摘 要： | Jointprobabillsticdataassociation(JPDA)isanalgorithmusedinsinglesensormultipletargettrackingsystems.Itemploysthenon-uniqueassignmentof"allneighbor"strategytoadaptforthedensemultitargettrackingenvironments[1].Becauseofitswideapplications,itisnecessarytoextendJPDAintosomemultiplesensortrackingsystems.Suchamultisensorsystem,forexample,canbeformedbycollocatingradarandinfraredsearchandtrack(IRST)whichcantakeadvantagesofboththesensorsbodatafusion.Undertheconditionofthesamesensors,acommonmeasure… |
SEQUENTIAL ALGORITHM FOR MULTISENSOR PROBABILISTIC DATA ASSOCIATION |
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| Hu Wenlong, Mao Shiyi. SEQUENTIAL ALGORITHM FOR MULTISENSOR PROBABILISTIC DATA ASSOCIATION[J]. Chinese Journal of Aeronautics, 1997, 0(2) | |
| Authors: | Hu Wenlong Mao Shiyi |
| Abstract: | Based upon a multisensor sequential processing filter, the target states in a3D Cartesian system are projected into the measurement space of each sensor to extend thejoint probabilistic data association (JPDA) algorithm into the multisensor tracking systemsconsisting of heterogeneous sensors for the data association. |
| Keywords: | multiple target tracking sensors sequential analysis data association data fusion |
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