Maneuvering target tracking algorithm based on adaptive Gauss model and EKF was built for improving the tracking performance in Multi-static systems.
为改善多基地雷达系统对高机动目标的跟踪性能，提出了基于自适应高斯模型和扩展卡尔曼滤波(ekf)的机动目标跟踪算法。
In order to track a target in space and scale in a complex background, a target tracking algorithm based on the nonparametric clustering and multi-scale images is presented.
为了实现复杂背景下的目标空间定位和尺度定位，提出了一种基于非参数聚类和多尺度图像的目标跟踪算法。
Aiming at the imprecision of maneuvering target tracking by using traditional input estimation algorithms, a modified maneuvering target tracking algorithm of ie is proposed.
针对传统输入估计算法跟踪机动目标时检测概率和估计精度不高的缺点，提出一种改进的输入估计跟踪算法。
With the use of a robust error mapping function, an affine model-based target tracking algorithm is formulated, in which a quasi-Newton's iterative method is implemented in the optimization progress.
在采用一个鲁棒性匹配误差映射函数的基础上，使用一种类牛顿法的迭代优化方法实现了基于仿射模型的图像目标跟踪算法。
Based on measurement fusion theory, a target-tracking algorithm which fused measurements of nonlinear system with dissimilar sensors in case of arbitrary correlated noises is developed.
基于测量融合理论提出了一种任意相关噪声异类传感器非线性系统目标跟踪算法。
Based on measurement fusion theory, a target-tracking algorithm which fused measurements of nonlinear system with dissimilar sensors in case of arbitrary correlated noises is developed.
基于测量融合理论提出了一种任意相关噪声异类传感器非线性系统目标跟踪算法。
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