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matlabimm
DL : 0
flight in air controller simulation
Update : 2024-05-07 Size : 260096 Publisher : K

DL : 0
基于三个模型的目标跟踪,中心角速度为0.偏移角速度固定。能够解决轨迹为非线性的目标的跟踪。自带轨迹。-Target tracking based on the three models, the central angular velocity is 0. Offsets the fixed angular velocity. Can solve the trajectory tracking of nonlinear target. Own trajectory.
Update : 2024-05-07 Size : 2048 Publisher : wanglin

自适应网格多模交互算法的提出及仿真,仿真环境为matlab。 -Adaptive Grid Interacting Multiple Mode
Update : 2024-05-07 Size : 698368 Publisher : 沙哥

DL : 0
一个开放源码的基于Java库的目标跟踪评价工具。目前包含11种不同的顺序,如滤波器,卡尔曼,颗粒,H无穷,相互作用多模型(IMM)的,及其他。 -An open source Java based library for target tracking evaluation tools. Currently contains 11 different sequential filters, such as Kalman, particle, H infinity, interacting multiple model (IMM), and others.
Update : 2024-05-07 Size : 2567168 Publisher : 李明

matlabIMM1
DL : 0
this IMM tech. in tracking targets-this is IMM tech. in tracking targets
Update : 2024-05-07 Size : 2048 Publisher : MOHANED

详细讲解了卡尔曼滤波器及EKF,UKF,IMM等滤波器,有例子,有仿真-Explain in detail the Kalman filter and EKF, UKF, IMM and other filters, there are examples, a simulation
Update : 2024-05-07 Size : 827392 Publisher : 李雨石

信息融合滤波算法,基于IMM完成匀速—加速—匀速单运动目标跟踪。-Information fusion filter algorithm based on IMM to complete the uniform and accelerate uniform single moving target tracking.
Update : 2024-05-07 Size : 23552 Publisher : 朱华国

matlabIMM
DL : 0
交互多模型算法的仿真程序,仿真过程中发生一次机动!-the simulation of the IMM algorithm, in this simulation there is one maneuvering。
Update : 2024-05-07 Size : 5120 Publisher : 张成宝

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IMM算法,用于机动目标的精确跟踪和定位,该模型集考虑了三种典型子模型:CV,CT,CA.-interacting multiple model (IMM) code for target tracking
Update : 2024-05-07 Size : 5120 Publisher : yann

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 transition matrix IMM algorithm. Finally, the interacting multiple model Kalman filter algorithm Matlab simulation and results analysis.
Update : 2024-05-07 Size : 25600 Publisher : 王延飞

本文针对SMM中著名的交互式多模型(IMM)估计器,通过将IMM看作是输人交互和子滤波器申联,分析了具有m个参数的MTP矩阵,给出了六条不依赖于应用环境及子滤波器设计的结论-In this paper, SMM Interacting Multiple Model (IMM) estimator, analyzed by the IMM as input interaction and sub-filters Shenlian MTP matrix with m parameters, six does not depend on the application environment and sub-filter design to the conclusion
Update : 2024-05-07 Size : 214016 Publisher : tc

OtherIMM
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使用IMM(交互式多模型)跟踪平面内匀速直线运动和协调转弯组合的机动目标-tracking CV and CT target by using IMM model
Update : 2024-05-07 Size : 4096 Publisher : chenlei

matlabIMM
DL : 0
IMM-交互多模卡尔曼滤波机动与非机动模型算法实现-IMM-interactive multi-mode Kalman filtering motorized and non-motorized model
Update : 2024-05-07 Size : 2048 Publisher : 李元

OtherIMM
DL : 1
IMM交互式对机动目标跟踪,程序写的很完美,包含各种常见的滤波算法-IMM UKF KF
Update : 2024-05-07 Size : 139264 Publisher : liuhui

matlabImm
DL : 0
目标跟踪的IMM算法的matlab参考程序 希望能帮到大家-IMM target tracking algorithm matlab reference program
Update : 2024-05-07 Size : 2048 Publisher : Fcku

室内无线定位,使用交互模型进行定位,matlab程序-wireless localization,IMM
Update : 2024-05-07 Size : 3072 Publisher : wuchen

OtherIMM
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交互式多模型在很多地方都有非常大应用作用,这里面是一个完整的仿真实例,同时里面包含IMM的模块化编程,应用着可以很轻松的运动这些模块。-Has a very large role in interactive multi-model applications in many places, there is a complete simulation example, which contains the same modular programming IMM, the application can easily forward movement of these modules.
Update : 2024-05-07 Size : 12288 Publisher : 刘思毅

DL : 0
利用交互多模型无迹卡尔曼滤波算法实现机动目标跟踪。-Interacting multipl emodel Unscented kalman filter (IMM UKF)is presented to improve the performance of target tracking.
Update : 2024-05-07 Size : 26624 Publisher : 石鸿逸

程序为交互式多模型算法的实现,应用背景为目标跟踪领域。-IMM program for implementation for target tracking application background.
Update : 2024-05-07 Size : 1024 Publisher : SADF

matlabIMM
DL : 0
交互多模型(IMM)跟踪算法,效果比较好,方便理解-For the simulation of IMM, trajectory tracking based on Kalman algorithm
Update : 2024-05-07 Size : 5120 Publisher : liucs
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