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A new fast algorithm for multitarget tracking in dense clutter 被引量:1
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作者 Weihua QIN Fei HU Chaoyin QIN 《控制理论与应用(英文版)》 EI 2005年第4期383-386,共4页
A fast joint probabilistic data association (FJPDA) algorithm is proposed in tiffs paper. Cluster probability matrix is approximately calculated by a new method, whose elements βi^t(K) can be taken as evaluation ... A fast joint probabilistic data association (FJPDA) algorithm is proposed in tiffs paper. Cluster probability matrix is approximately calculated by a new method, whose elements βi^t(K) can be taken as evaluation functions. According to values of βi^t(K), N events with larger joint probabilities can be searched out as the events with guiding joint probabilities, tiros, the number of searching nodes will be greatly reduced. As a result, this method effectively reduces the calculation load and nnkes it possible to be realized on real-thne, Theoretical ,analysis and Monte Carlo simulation results show that this method is efficient. 展开更多
关键词 Data association Multitarget tracking cluster probability matrix Search-tree
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