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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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交互式多模型粒子滤波程序(IMMPF),分别仿真了三种结果下的IMMPF算法-Interacting multiple model particle filter program (IMMPF), respectively, the results of simulation of the three algorithms under the IMMPF
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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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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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关于交互多模型目标跟踪的一篇很好的参考文献。算法具体,可直接编程。-Interacting multiple model target tracking on an excellent reference. Algorithm specific, direct programming.
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联合格自适应交互多模型算法。根据目标情况调整格间距。-United grid adaptive interacting multiple model algorithm.
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扩展的交互多模型在目标跟踪方面的应用,用来估计一维的目标加速度,并不时的改变转移矩阵-Interacting multiple model
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基于卷积粒子滤波的交互式多模型算法 filter algorithm-Convolution-based interacting multiple model particle filter algorithm
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RIMM 权重重新计算的交互式多模型算法 -reweighted interacting multiple model
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交互式多模型目标跟踪UKF和EKF滤波(内附例程与相关论文)。-Interacting multiple model target tracking filter UKF and EKF (with routines and related papers).
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this program describes the undscnded kalmaman filter using interacting multiple model-this program describes the undscnded kalmaman filter using interacting multiple model
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