This paper presents an extended kalman filtering algorithm for tracking infrared target, using the outputs from a forward-looking infrared (FLIR) sensor as measuring value.
本文提出了一种直接把红外前视传感器的输出作为测量值来跟踪红外目标的扩展型卡尔曼滤波跟踪算法。
To investigate the problem of tracking a high accelerating maneuvering target with netted radar system, the parallel extended Kalman filtering algorithm is derived.
针对多基地雷达系统跟踪近距离高加速机动目标的场合，提出了一种并行扩展卡尔曼滤波算法。
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。
With a modified polar coordinate, a specific method to realize bearings-only target tracking by means of an extended Kalman filter is discussed in this paper.
本文讨论在修正极坐标下利用推广卡尔曼滤波实现纯方位目标跟踪的具体方法。
Concerning the problem to instability and low accuracy of the passive filter on bearings-only target tracking, a modified adaptive Extended Kalman filter algorithm on polar coordinate is presented.
在水下被动目标跟踪系统中，直角坐标系下的扩展卡尔曼滤波器容易发散而导致滤波精度很差。
Concerning the problem of instability and low accuracy of passive filter in underwater target tracking, a modified adaptive extended kalman filter (MAEKF) algorithm is presented.
针对在被动方式下进行水下目标跟踪容易导致滤波发散和收敛精度不高的问题，介绍了一种改进的自适应推广卡尔曼滤波算法。
Aiming at multisensor fusion based target tracking applications in wireless sensor networks, a mixed algorithm is proposed, called extended-mixed particle filter (EM-PF).
针对无线传感器网络中的多传感器融合目标跟踪，提出一种混合滤波算法，称为扩展混合粒子滤波算法(EM - PF)。
The extended Kalman filter(EKF) and converted measurement Kalman filter(CMKF) have been widely used in radar target tracking.
在非线性量测的情况下，EKF和CMKF得到了广泛的应用。
The extended Kalman filter(EKF) and converted measurement Kalman filter(CMKF) have been widely used in radar target tracking.
在非线性量测的情况下，EKF和CMKF得到了广泛的应用。
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