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本程序是matlab编写的imm(交互式多模型算法)目标跟踪程序。这种方法的特点是在各模型之间“转换”,自动调节滤波带宽,和适合机动目标的跟踪。,This program is matlab written imm (interacting multiple model algorithm) target tracking program. This method is characterized among the various models " conversion" ,
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基于交互式多模型的多目标跟踪算法与程序设计代码,Interacting multiple model-based multi-target tracking algorithms and programming code
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交互式多模型算法卡尔曼滤波仿真代码,程序中采用了两个模型-Interacting multiple model Kalman filter algorithm simulation code, the program uses two models
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交互多模型算法,用于目标跟踪等,是目前比较理想的算法之一-Interacting multiple model algorithm
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机动目标跟踪,交互式多模型算法,“当前”统计模型-Maneuvering target tracking, interacting multiple model algorithm, " current" statistical model
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Matlab交互式多模型UKF和EKF滤波程序(附说明文档)
-Matlab interacting multiple model UKF and EKF filtering procedures (with documentation)
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强机动目标跟踪的基本模型仿真,匀速,匀加速模型等,蒙特卡诺滤波的实现等。-Strong maneuvering target tracking simulation of the basic model, uniform, uniform acceleration model and so on, the realization of such蒙特卡诺filtering.
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基于交互式多模型算法进行仿真,将CV,CA模型混合起来进行估计-Interacting multiple model-based simulation algorithm, the CV, CA model to estimate mixing
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基于交互式多模型的多目标跟踪算法与程序设计代码,其中一个传感器跟踪多个目标- Interacting multiple model-based multi-target tracking algorithms and programming code
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利用MATLAB语言计算交互多模型函数IMMKF-Calculated using MATLAB language interacting multiple model function IMMKF
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国外学者编写UKF、EKF、IMM的matlab源码和说明文档,注释清楚,条理性强。最新版本-The methods that are discussed in the current documentation are:
Kalman filters and smoothers.Extended Kalman filters and smoothers Unscented Kalman filters and smoothers Interacting Multiple Model (IM
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target tracking
The CV and CA models can be used to model the
distance between front and host vehicles, but we don’t
know when a specific model should be used. The
interacting multiple model (IMM) estimator [1] is an
algorithm which can be
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车辆位置跟踪,交互多模型matlab程序-Vehicle location tracking, interacting multiple model matlab program
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结合雷达跟踪的空中目标的实际情况,针对目标运动模型中的线性运动和非线性运动,分别设计了两种模型,并用马尔科夫状态转移矩阵实现IMM算法。最后对交互多模型卡尔曼滤波算法进行了Matlab仿真及结果分析。-Combined with radar tracking air targets, for linear and non-linear movement of target motion model, two models were designed and used a Markov state
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多机动进行目标跟踪,交互多模型,matlab仿真-Multiple Maneuvering target tracking, the interacting multiple model, matlab simulation
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Kalman 滤波和平滑工具箱,包括了
Kalman 滤波和平滑
EKF 和 平滑
CKF 和平滑
UKF 和平滑
GHQF 和平滑
IMM 滤波和平滑-EKF/UKF is an optimal filtering toolbox for Matlab. Optimal filtering is a frequently used term for a process, in which the state of a dynamic system is estimate
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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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