1) multi-target tracking radar
多物标跟踪雷达
2) multi-radar and multi-target path tracking
多雷达多目标航迹跟踪
1.
A method of multi-radar and multi-target path tracking based on fuzzy min-max neural network is proposed, which combines an improved fuzzy min-max artificial neural network algorithm proposed in the article and the unsupervised general fuzzy min-max artificial neural network clustering.
提出了一种改进的模糊极小极大(FuzzyMin-Max,FMM)神经网络算法,并结合无师训练FMM神经网络的聚类,给出了一种基于FMM神经网络的多雷达多目标航迹跟踪方法。
3) Multitarget-Multisensor Tacking
多雷达多目标跟踪
4) multiradar tracking
多雷达跟踪
1.
Using moving window detectors, this paper analyses the drawbacks of current technique specifications used in multiradar tracking initation and termination systems, introduces new technique specifications,gives the definitions of optimal tracking initiation, suboptimal tracking initiation, and tracking termination, and provides the fundamental of designing tracking-quality-managemement systems.
利用滑窗检测器对多雷达跟踪航迹起始与撤消进行了分析，指出了目前技术指标的不足之处，提出了新的技术指标，定义了最优航迹起始、准最优航迹起始和最优航迹撤消，为航迹质量管理系统的优化设计提供了依据。
5) radar target tracking
雷达目标跟踪
1.
Method for radar target tracking based on sequential unscented Kalman filter
基于序贯无迹卡尔曼滤波的雷达目标跟踪方法
2.
Extended Kalman Filter(EKF) and converted measurement Kalman Filter(CMKF) have been widely used in radar target tracking.
在雷达目标跟踪中 ,扩展卡尔曼滤波 (EKF)和转换坐标卡尔曼滤波 (CMKF)得到了广泛的应用。
3.
The three-dimensional CMKF-D with only position measurements is extended to solve the radar target tracking problem with Doppler measurements, where the errors between range and Doppler measurements are correlated.
将仅仅考虑位置量测的三维去偏一致转换量测卡尔曼滤波算法进行推广,以解决包含多普勒量测且斜距和多普勒的量测误差相关的雷达目标跟踪问题。
补充资料：多物
1.谓事务繁多。
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