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: 交互多模型，用一个函数来实现2个模型的交互-Interacting multiple model, with a function to achieve the two models of interaction, Platform: |
Size: 2048 |
Author:jinanzht |
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Description: 交互多模型估计的程序实现，作为交互多模型的基础程序，希望有用-Interacting multiple model estimation procedure to achieve, as the interacting multiple model based procedures in the hope helpful Platform: |
Size: 5120 |
Author:liuyang |
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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: 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 Platform: |
Size: 5120 |
Author:张琴 |
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Description: 针对交互式多模型(IMM)算法的目标跟踪精度问题，提出了一种自适应模型集IMM算法．
利用IMM算法中的模型概率含义，并以此对模型集的收缩比例因子进行设计，这样模型集通过向
中心模型收敛可完成自适应调整，而自适应调整过程能有效、实时地利用观测信息．-Tracking accuracy, the goal of interacting multiple model (IMM) algorithm and an adaptive model set IMM algorithm.
IMM algorithm in the model the probability of the meaning and design, so that the model set by the scale factor of contraction of the model set
Center model convergence to be completed by the adaptive adjustment of the adaptive adjustment process can effectively real-time use of observational information. Platform: |
Size: 194560 |
Author:李 |
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Description: 提出了一种基于粒子滤波的交互式多模型多机动目标跟踪算法 -an inter act ing mult iple model tar get t racking
algor ithm of mult iple maneuvering target s based o n part icle filter is pr opo sed Platform: |
Size: 354304 |
Author:媛媛 |
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Search - Interacting Multiple Model