Description: 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. Platform: |
Size: 1024 |
Author:琦琦 |
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Description: 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" , automatically adjust filter bandwidth, and suitable for maneuvering target tracking. Platform: |
Size: 23552 |
Author:yunguangmei |
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Description: 利用MATLAB语言计算交互多模型函数IMMKF-Calculated using MATLAB language interacting multiple model function IMMKF Platform: |
Size: 1024 |
Author:许明 |
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Description: 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 (IMM) filters and smoothers Platform: |
Size: 115712 |
Author:xujian |
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Description: 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 used to handle such case. In
IMM algorithm, at time k the previous estimates from the
multiple models are mixed based on the mixing
probabilities to generate different mixed initial conditions
for different filters. Platform: |
Size: 30720 |
Author:jailin |
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Description: 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. Platform: |
Size: 25600 |
Author:王延飞 |
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Description: 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 estimated through noisy and indirect measurements. This toolbox mainly consists of Kalman filters and smoothers, which are the most common methods used in stochastic state-space estimation. The purpose of the toolbox is not to provide highly optimized software package, but instead to provide a simple framework for building proof-of-concept implementations of optimal filters and smoothers to be used in practical applications.
Including:
1. Kalman filters and smoothers
2. Extended Kalman filters and smoothers
3. Unscented Kalman filters and smoothers
4. Gauss-Hermite Kalman filters and smoothers
5. Cubature Kalman filters and smoothers
6. Interacting Multiple Model (IMM) filters and smoothers Platform: |
Size: 150528 |
Author:yinchao |
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Description: 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性两种情况的滤波器设计方法(Principle and Application of Kalman Filter - MATLAB simulation mainly introduces Kalman filtering algorithm in digital signal processing and its application in related fields. The book consists of 7 chapters. The first chapter is the introduction. The second chapter introduces the programming foundation of MATLAB algorithm simulation. The third chapter introduces linear Kalman filtering. Chapter 4 discusses the extended Kalman filter, and introduces its application and algorithm simulation in the field of target tracking and guidance. The fifth chapter introduces the UKF filtering algorithm, and gives an example of algorithm simulation in its application area. The sixth chapter introduces the interacting multiple model Kalman filtering algorithm. Chapter 7 introduces how to construct Kalman filter by module library and S-function in Simulink environment, and gives the design method of Kalman filter for both linear and nonlinear systems.) Platform: |
Size: 13403136 |
Author:jianjian健健 |
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