Description: Data association is one of the key technologies in multi—target tracking．And JPDA is considered as the best da·
ta association method．JPDA considers the association of measurements with targets is simply one-to-one problem．But in many
practical cases，the association of measurements with targets will be multiple—to—multiple problem．For this case，a
Generalized
Probability Data Association(GPDA)algorithm is proposed in this paper．Furthermore，this paper analyzes the performance of
these two algorithms theoretically．And we give the comparative analysis of those performances by using Monte Carlo method．
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两种多目标数据关联算法的性能研究.pdf
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