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Bearing Only Tracking在多场景下的仿真程序 是本人在国外读书时研究项目中的导师和同事等共同开发 使用EKF(扩展KALMAN Filter)与PDA联合算法对target进行定位追踪,Bearing Only Tracking in a multi-scenario is the simulation program to study abroad when I research projects, such as mentors and colleagues to deve
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ua University, in 2002 publi
this document, including the Mont
A program of curve fitting based
Bayesian Filter. Bayesian (Bayesi
a target tracking system MATLAB s
cubic spline curve fitting This i
book is widely used in engineerin
this
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基于“当前”统计模型的模糊自适应跟踪算法
我存的一篇论文，拿来与大家共享-Current statistical model needs to pre-define the value of maximum accelerations of maneuvering targets.So it
may be difficult to meet all maneuvering conditions.The Fuzzy inference combined with Current stati
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程序可以实现三维目标的跟踪监控，利用的是扩展卡尔曼滤波器EKF算法-Program can achieve the three-dimensional target tracking control, the use of the extended Kalman filter EKF algorithm
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扩展卡尔曼滤波和无迹卡尔曼滤波在目标跟踪的应用-Extended Kalman filter and unscented Kalman filter applications in target tracking
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卡尔曼滤波算法和扩展卡尔曼滤波算法在目标跟踪到的应用-Kalman filter and extended Kalman filter algorithm to the application in target tracking
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卡尔曼滤波算法和扩展卡尔曼滤波算法在目标跟踪到的应用-Kalman filter and extended Kalman filter algorithm to the application in target tracking
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水下纯方位目标运动分析的UKF滤波算法在目标跟踪的应用-Kalman filter and extended Kalman filter algorithm to the application in target tracking
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机动卡尔曼算法(VD算法)在扩展卡尔曼滤波诸算法中原理较为简单，目标跟踪效果也较好．-Motor the Kalman algorithms (VD algorithm) in the extended Kalman filter the Zhu algorithm is relatively simple principle, target tracking results would be better.
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The extended Kalman filter (EKF) has been widely
used as a nonlinear filtering method for radar tracking
problems. However, it has been found that in
case cross-range measurement errors of the target position
are large, the performance of the
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本代码主要是势均衡多目标多伯努利滤波器的扩展卡尔曼（EKF）实现，能有效的解决杂波环境下的多目标跟踪，本代码能够正常运行。-
您是不是要找： 本代码主要是食均衡多目标多伯努利滤波器的扩展卡尔曼(EKF)实现,能有效的解决杂波环境下的多目标跟踪,本代码能够正常运行。
This code is mainly balanced multi-objective multi-bonuli potential extended Kalman filter (EKF) to achieve, can
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扩展kalman滤波在目标跟踪中的应用。给出了一种基于距离的目标跟踪算法Matlab源程序，并附上详细注释，程序调试通过，可直接运行。-Extended kalman filter in target tracking. Gives a target distance based tracking algorithm Matlab source, along with detailed notes, debugging through, it can be directly run.
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粒子滤波理论是近年来跟踪领域的热门研究课题。在该领域，传统的卡尔曼（Kalman）滤波器是非常经典的运动目标跟踪工具。然而经典亦有其弊端，卡尔曼滤波对于非线性及非高斯环境下的工作能力相当无力。为解决这一问题，本文提出了一种基于粒子滤波的目标跟踪方法。其核心为以粒子(一种随机样本，携带权值)来表示后验概率密度，从而得到基于物理模型的近似最优数值解，其优点在于能在追踪的过程中实现更高的精度和更快的收敛速度等。粒子滤波通过加权计算这些带有权重的随机样本来得到目标的近似的运动状态，因此对于非高斯和非线性
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扩展Kalman滤波在纯方位目标跟踪中的应用实例-Application of Extended Kalman Filter in Bearings- only Target Tracking
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扩展卡尔曼滤波在纯方位目标跟踪中的应用实例(Application of Extended Kalman Filter in Bearing-only Target Tracking)
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卡尔曼滤波原理及应用—MATLAB仿真主要介绍数字信号处理中的卡尔曼（Kalman）滤波算法及在相关领域应用。全书共7章。第1章为绪论。第2章介绍MATLAB算法仿真的编程基础。第3章介绍线性Kalman滤波。第4章讨论扩展Kalman滤波，并介绍其在目标跟踪和制导领域的应用和算法仿真。第5章介绍UKF滤波算法，同时也给出其应用领域内的算法仿真实例。第6章介绍了交互多模型Kalman滤波算法。第7章介绍Simulink环境下，如何通过模块库和S函数构建Kalman滤波器，并给出了系统是线性和非线
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Over-the-horizon radar (OTHR) exploits skywave propagation
of high-frequency signals to detect and track targets,
which are different from the conventional radar. It
has received wide attention because of its wide area surveillance,
long detectio
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