搜索资源列表
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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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interacting multiple model paper
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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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自己编写的基于概率数据关联的交互式多模型算法，仅供参考-Interacting multiple model algorithm based on Probability Data Association
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此程序为跟踪效果比较好的交互多模型，对转弯运动的目标有较好的跟踪效果-This program to track the effect of better interacting multiple model, the turning movement of the target tracking
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此程序为交互多模型的滤波器设计，采用了当前统计模型，跟踪效果比较理想-This program is interacting multiple model filter design, the current statistical model, the effect of tracking is ideal
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机动目标的交互多模型跟踪算法，对机动目标的跟踪效果很理想-Maneuvering targets interacting multiple model tracking algorithm for maneuvering target tracking results very satisfactory
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此程序为机动目标的交互多模型跟踪算法，采用了CS/CA/MCT模型-This program interacting multiple model for maneuvering target tracking algorithm, using the CS/CA/MCT model
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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
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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
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多机动进行目标跟踪，交互多模型，matlab仿真-Multiple Maneuvering target tracking, the interacting multiple model, matlab simulation
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交互多模型算法是一种用模型集描述系统各个时刻的状态，相对于单模型系统有很大的适应性，其模型集之间的切换是一个马尔科夫过程，按照状态转移概率矩阵进行切换的-Interacting multiple model algorithm is a model used to describe the system sets the status of each moment, as opposed to a single model system has great flexibility, the mo
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交互多模型是机动目标跟踪中一中重要算法，本代码采用2中滤波模型实现了机动跟踪。-Interacting multiple model maneuvering target tracking an important algorithm, the code uses two filtering model implemented in the mobile tracking.
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交互式多模型Kalman滤波在目标跟踪应用中的程序，可以直接运行的源代码-Interacting multiple model Kalman filtering in target tracking application program can be directly run the source code
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In this paper, the problem of tracking multiple
maneuvering targets in clutter is investigated. An improved
interacting multiple model joint probabilistic data association
(IMMJPDA) algorithm is proposed. When the targets are
described by di
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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 estimate
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