目标航迹滤波算法的实现通常是在PC机上通过软件实现滤波，滤波等待时间为毫秒级，且需要的设备量体积大。
The flight track filter algorithm is usually implemented through PC, where the latency time of the system reach milliseconds and the volume of the device is bulky.
第二章介绍了航迹数据融合中使用的主要技术，包括：航迹滤波算法、多站条件下的滤波算法、多目标条件下的数据关联算法等。
In the second chapter, related technologies are presented. These are algorithms for track-filtering, filtering on condition of multisensor, data association on condition of multitarget and so on.
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。
To improve the precision of multisensor data fusion, data or track association becomes the key of target tracking filter.
传统的目标航迹关联方法卡尔曼滤波法在实际应用时有局限性。
The traditional method of Kalman filter for passive sonar target track association is limited in practice.
文中系统地研究了基于边扫描边跟踪系统的多目标跟踪数据处理的航迹关联及滤波与预测。
This paper studied systematically the track correlation and filter forecast based on data processing of multitar- get track while scan system.
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。
A new multisensor distributed track fusion algorithm is put forward based on combining the feedback integration with the strong tracking Kalman filter.
然后对多部雷达滤波后的数据进行线性加权融合处理，最终得到唯一航迹。
Then the filtered data of a lot of radars was merged with the linear weighting to get the only track.
然后对多部雷达滤波后的数据进行线性加权融合处理，最终得到唯一航迹。
Then the filtered data of a lot of radars was merged with the linear weighting to get the only track.
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