联合概率数据关联（Joint Probabilistic Data Association, JPDA）是一种适用于密 集杂波环境下的多目标数据关联跟踪算法。
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...(3)针对不同测量精度且呈有理数倍采样的多传感器多目标跟踪问题,考虑无味联合概率数据关联(Joint Probability Data Association)算法和顺序式无味多传感器联合概率数据互联(Multi-sensor Joint Probability Data Association)算法的结合,提出了一种新的基于不...
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联合概率数据关联算法 JPDA ; Joint Probabilistic Data Association
简易联合概率数据关联 CJPDA
联合概率数据关联滤波 JPDAF ; join tprobability data association filter
联合综合概率数据关联 JIPDA
通过对多目标联合概率数据关联方法性能特征的分析，将其归结为一类约束组合优化问题。
The properties of the joint probabilistic data association(JPDA)are analyzed, and data association is reduced to a sort of constraint combinatorial optimization problem.
传统的最邻近联合概率数据关联算法（NNJPDA）不能直接用于多传感器对多目标的跟踪。
The Nearest Near Joint Probabilistic Data Association(NNJPDA) is not used directly in multi-sensor multi-target tracking.
联合概率数据关联算法是公认的多目标跟踪中有效的数据关联算法，但它的计算量过大，实时性不好。
The Joint Probabilistic data association algorithm (JPDA) is the accepted effective data association algorithm, but it has high computational load, and it's not a Real-time algorithm.
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