1) target filtering and estimating
跟踪滤波与预测
1.
Then, aiming at target tracking and filtering problems, two types of target filtering and estimating methods: One is linear filtering method(Kalman Filter).
论文先对红外目标的观测特性、几种常见的目标运动模型以及红外多目标的跟踪原理进行了概述,接着针对目标跟踪滤波的问题,分别对两类跟踪滤波与预测方法进行了分析,一类是以卡尔曼滤波为代表的线性滤波方法,可以较好估计当前和未来时刻目标的运动状态;对于另一类非线性估计方法,介绍了扩展卡尔曼滤波器、粒子滤波器以及改进的高斯粒子滤波算法等,并通过仿真分析比较了多种非线性估计方法的性能。
2) tracking and filter
跟踪与滤波
3) tracking filter
跟踪滤波
1.
On the basis of the extended Kalman Filter(EKF) and the decaying extended Kalman Filter,this paper makes use of the modified strong tracking filter(STF) to estimate the maneuvering target information without all measurement information.
针对空空导弹制导过程中可能出现测量信息不全的情况,以机动目标的“当前”统计模型为基础,在螺旋机动目标模型下对机动目标进行了跟踪滤波。
2.
A new tracking filter was proposed for the highly non-linear single observer passive location and tracking(SOPLAT)system,where the common tracking filters often failed to catch and kept tracking of the emitter.
针对单站无源定位跟踪系统非线性较强、传统跟踪滤波方法收敛速度、慢容易发散的问题,提出了一种新的跟踪滤波算法P-EKF。
3.
But to the CW pulse signal with changing frequency, it is difficulte to realize tracking filter with common narrowband filter.
但是，对于中心频率不断变化的CW脉冲信号，使用常规的硬件窄带滤波器很难实现对其跟踪滤波。
5) Track filter
跟踪滤波
1.
Based on the basic principle of data processing of Phased Array Radar,this paper presents the simulation structure of the data processing system of a Space Surveillance Phased Array(SSPA) radar and its key algorithms such as data association and track filter.
基于相控阵雷达数据处理基本工作原理,阐述了数据处理模块的基本构成及采用的数据关联、跟踪滤波算法,并根据空间探测相控阵雷达的典型工作要求进行了仿真,仿真结果验证了该数据处理系统可以正确工作在空间多目标环境下。
6) filter forecast
滤波与预测
1.
This paper studied systematically the track correlation and filter forecast based on data processing of multitar- get track while scan system.
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。
补充资料：发育进度预测法(见发生期预测)
发育进度预测法(见发生期预测)
发育进度预测法见发生期预测。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条