Description: 加权与交互式模型相结合，就是用多种模型来描述一个问题，使问题更加准确化-interactive model with the weighted combination, which is to use multiple models to describe a problem, the problem of a more accurate Platform: |
Size: 2048 |
Author:zhang |
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Description: MIMO（多输入多输出）信道模型建matlab环境，瑞利信道下mimo无线通信系统的仿真模及仿真-MIMO (Multiple Input Multiple Output) channel model matlab built environment, Rayleigh fading MIMO wireless communication system simulation mode and simulation Platform: |
Size: 2048 |
Author:魏臻 |
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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: 用于机动目标跟踪的交互式多模型算法完整实现程序，无BUG-For maneuvering target tracking interactive multiple model algorithm for the full realization of program, no BUG Platform: |
Size: 1024 |
Author:汪俊 |
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Description: 交互式多模型算法的matlab程序，用于混合系统估计的多模型方法，在跟踪器设计过程中，目标模型的选择将直接关系到滤波性能的好坏。
-Interactive multiple model algorithm matlab program for hybrid systems is estimated that the multi-model approach, in the tracker design process, the object model will have a direct bearing on the choice of filtering performance is good or bad. Platform: |
Size: 2048 |
Author:皮皮鲁 |
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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: 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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Search - multiple model matlab