In chapter 5, distributed track-to-track fusion algorithms are discussed.
第五章研究分布式航迹融合算法。
Asynchronous track fusion algorithms in distributed fusion systems are studied.
对分布式融合系统中的异步航迹融合算法进行了研究。
Finally, the model is used in track-to-track fusion and a good result is obtained.
最后给出了此模型在航迹融合中应用的一个例子，得到了较好的结果。
The fundamental program to multisensor data fusion is track correlation and track fusion.
航迹相关和航迹融合是多传感器数据融合技术中最基础的部分。
For distributed multisensor data fusion system, a multisensor asynchronous track fusion algorithm is proposed.
针对分布式多传感器数据融合系统，提出了一种多传感器异步航迹融合算法。
An example of binary radar track fusion and a kind of model and algorithm for radar track fusion are presented.
给出了一个双站雷达航迹融合的实例，得出了一套航迹融合模型和算法。
A new multisensor distributed track fusion algorithm is put forward based on combining the feedback integration with the strong tracking Kalman filter.
研究基于强跟踪滤波和反馈综合相结合的多传感器分布式航迹融合算法。
Its track fusion process includes states and attributes estimation of low levels, it also includes battlefields situation and threaten evaluation of high levels.
其航迹融合过程包括低层次上的状态和属性估计及高层次上的战场态势和威胁评估。
Track correlation is the basis of track fusion based on multisensor target tracking system, which is one of the key techniques for tracking the target continuous.
航迹关联是多传感器目标跟踪系统进行航迹融合的基础，是对目标进行连续跟踪的关键技术之一。
The simulation and analysis on algorithm of multisensor track-to-track fusion is based on cross-variance functions, and analysis of the stability to model is presented.
本文对基于互协方差的航迹融合算法进行了仿真分析，并对航迹融合模型的稳定性进行了探讨。
Track association of heterogeneous sensors plays an important role in track fusion, and the track correlation of infrared sensor and radar is a typical correlation of heterogeneous sensors.
异类传感器航迹关联是航迹融合中的一个难点，红外传感器与雷达的航迹关联是典型的异类传感器航迹关联。
Track fusion systems with high stability, reliability and easy implementation have track association and track fusion as their key contents which are the kernel of system architectural design.
在具有较高稳定性、可靠性和易实现性的航迹融合系统中，航迹关联和航迹融合是主要研究内容，系统结构设计也围绕这两个核心展开。
To improve the precision of multisensor data fusion, data or track association becomes the key of target tracking filter.
为了提高多传感器数据融合的精度，数据或航迹关联成为对目标跟踪滤波的关键。
The target track in the multisensor multitarget tracking fusion contains the fuzzy information which was described by the fuzzy membership function.
多传感器多目标跟踪融合中的目标航迹包含了模糊信息，这种模糊信息可以用模糊隶属度函数来描述。
This paper presents the effect of the common process noise on track statistical distance and performance of state estimation fusion.
本文研究动态系统过程噪声对航迹统计距离和状态融合估计性能的影响。
This information fusion discussed in this paper aims at the problem of target track correlation of radar.
本文讨论的信息融合是针对雷达目标识别航迹关联问题。
In this paper, a method for calculating track purity is proposed in order to realize the correlation between fusion tracks and true target tracks.
提出一种计算航迹纯度的方法，解决了融合航迹与目标真实轨迹的关联这一关键技术难题。
In a multi-node distributed multisensor fusion system, the problem of track correlation can be transformed to a problem of multi-dimension assignment.
在多节点分布式多传感器融合系统中，航迹关联问题可以化为多维分配问题。
The track association and fusion technique of synchronized multi-sensor tracking system in case of correlated noises is developed.
本文研究了量测噪声与系统噪声相关情况下同步多传感跟踪系统的航迹关联及融合技术。
A joint data association and bias estimation method is proposed to handle the negative effect of individual radar bias to track association and fusion in radar networks for target tracking.
针对雷达组网目标跟踪系统中，单雷达系统偏差严重影响多雷达航迹数据关联及融合跟踪质量的问题，提出了一种联合数据关联与系统偏差估计的方法。
The paper introduces the algorithm for constructing track, track correlating, data fusion and management of sensor, and then, focuses on the realization of the algorithmic modules.
文中对航路设定、相关算法、航迹融合以及传感器管理进行了深入探讨，随后介绍了各个算法模块的具体实现。
In processing, wrong track rate and lost track rate are important capability indexes to judge whether the result of data fusion is satisfying.
情报处理中，错情率与漏情率是衡量数据融合处理结果是否满足要求的重要性能指标。
To track an object accurately and robustly under complex background, multiinformation fusion technology is required.
在复杂背景下要准确和稳定地实现目标跟踪，势必需要多信息融合技术。
For multiple targets in clutter, there is a complex connection among the tracks from multiple sensors. It is track management in fusion center with multiple sensors that becomes a key problem.
多目标杂波环境下，多传感器探测形成的航迹之间呈现错综复杂的关系，多传感器系统融合中心航迹管理成了迫切需要解决的问题。
Hierarchical fusion architecture is used to solve the problem of multiple sensors track association in AAW system.
采用层次型数据融合结构，研究了防空作战(AAW)系统中多类传感器航迹相关问题。
In this paper, the methods of track association and attribute fusion in data fusion system are studied.
本文主要对数据融合系统中航迹关联和属性融合的算法进行了研究。
The idea of the data fusion scheme is to delete all data within the association threshold and the track starting module is processed again for the rest of data.
数据融合的思路是，删除所有关联门限内的数据，将剩余数据再进行航迹起始模块处理。
For distributed multi-sensor fusion multi-target tracking system, an efficient sequential track-to-track correlation and fusion algorithm is proposed.
对于分布式多传感器融合多目标跟踪系统，提出一种序贯处理的航迹关联融合算法。
For distributed multi-sensor fusion multi-target tracking system, an efficient sequential track-to-track correlation and fusion algorithm is proposed.
对于分布式多传感器融合多目标跟踪系统，提出一种序贯处理的航迹关联融合算法。
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