该算法提高了概率数据关联(PDA)算法的性能。
The performance of probability data association (PDA) can be improved by this algorithm.
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.
动态方法利用真实目标的运动规律去除虚假目标，本文介绍了联合概率数据关联(JPDA)在此的应用。
Dynamic methods employ the rule of movement of real target to erase ghosts. An applying of joint probability data association (JPDA) is presented.
该方法以球坐标系中三通道解耦自适应卡尔曼滤波为基础，结合最近邻（NN）方法或概率数据关联滤波（PDAF）方法实现杂波中的机动目标跟踪。
Based on adaptive Kalman filter in polar coordinates, the algorithm was implemented with NN method and PDAF to fuse sensors in clutter.
图15.通过较大近缓存或者关联路由，逐渐增加近缓存命中的概率，可以减少平均数据访问时间。
Figure 15. Increasing the probability of a near-cache hit, either through larger near caches or affinity routing, reduces the average data access time.
关联规则是数据库中某些特定事件一起发生的概率的简单陈述。
Association rule is a simple statement about the cooccurrence probability of some certain events in database.
提出了基于不变量的目标同一性识别方法，同时也分析了基于残差的数据关联方法，通过数字仿真对比了这两种方法的数据正确关联概率。
Utilizing invariant, a new method are proposed, meanwhile least distance data association method is also analyzed and correct probabilities of data association are offered in the end.
针对被动传感器系统中的数据关联问题，提出了一种新的被动传感器系统模糊-概率双加权数据关联算法。
For the data association problem in the passive sensor system, a new fuzzy-probability weighting data association algorithm was proposed.
模糊理论在数据关联概率的求解上也有着重要应用。
The problem of association probability can also be solved by fuzzy theory.
模糊理论在数据关联概率的求解上也有着重要应用。
The problem of association probability can also be solved by fuzzy theory.
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