Description: 针对全球定位系统( GPS) 的微弱信号跟踪容易失锁问题, 提出一种新的跟踪方法. 利用平方根卡尔曼滤波算法, 在运算过程中运用误差协方差矩阵的平方根形式进行迭代, 有效减小了舍入误差带来的影响. 提出了一种新的GPS 信号跟踪测量模型, 在连续积分的基础上, 加入了非连续积分过程, 通过有效处理, 避免了导航信息位翻转对信号相关运算产生的影响-Weak signal tracking for the Global Positioning System (GPS), easy to loss of lock problem, propose a new tracking method using the square root of the Kalman filter algorithm, iterating use during operations in the form of the square root of the error covariance matrix, effectively reduced impact of rounding error. proposed a new GPS signal tracking measurement model based on continuous integral non-continuous integration process, through effective treatment and avoid navigation information bit flip signal operator affect Platform: |
Size: 331776 |
Author:yaomeng |
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Description: 随机生成一个点，卡尔曼滤波实现对点的跟踪。有详细注释，适合初学者。-Randomly generated one point, the Kalman filter point tracking. There are detailed notes for beginners. Platform: |
Size: 2048 |
Author:rosy |
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Description: kalman 滤波matlab工具箱
Kalman filter toolbox written by Kevin Murphy, 1998.
See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details.
Installation
------------
1. Install KPMtools from http://www.ai.mit.edu/~murphyk/Software/KPMtools.html
3. Assuming you installed all these files in your matlab directory, In Matlab type
addpath matlab/KPMtools
addpath matlab/Kalman
Demos
-----
See tracking_demo.m for a demo of 2D tracking.
See learning_demo.m for a demo of parameter estimation using EM.
-kalman matlab Platform: |
Size: 274432 |
Author:gaojingyi |
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Description: 利用卡尔曼滤波进行的检测跟踪，可在检测的目标中手选跟踪的目标-Kalman filter for the detection and tracking can be hand-selected target detection target tracking Platform: |
Size: 5323776 |
Author:黄翔 |
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Description: 卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，例如头脸识别，图像分割，图像边缘检测等等。-Kalman filter is an " optimal recursive data processing algorithm (since the handover optimization of data processing algorithms)." For solving most of the problems is that he is the best, the highest efficiency even the most useful. He has been widely used for more than 30 years, including robot navigation, control, sensor data fusion even in the military aspects of the missile tracking radar systems and so on. In recent years it has been used on computer image processing, such as head and face recognition, image segmentation, image edge detection and so on. Platform: |
Size: 8192 |
Author:马国豪 |
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Description: 用matlab编写的基于卡尔曼滤波原理算法的程序，主要用于运动目标的跟踪。-Prepared using matlab algorithm based on Kalman filtering theory program, mainly for moving target tracking. Platform: |
Size: 311296 |
Author:霍广电 |
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Description: Tactically maneuvering targets are difficult
to track since acceleration cannot be observed
directly and the accelerations are induced by human
control or an autonomous guidance system therefore
they are not subject to deterministic models. A common
tracking system is the two-state Kalman Filter
with a Singer maneuver model where the second order
statistics of acceleration is the same as a first
order Markov process. The Singer model assumes a
uniform probability distribution on the target s acceleration
which is independent of the x and y direction.
In practice, it is expected that targets have constant
forward speed and an acceleration vector normal to
the velocity vector, a condition not present in the
Singer model. This paper extends the work of Singer
by presenting a maneuver model which assumes constant
forward speed and a probability distribution on
the targets turn-rate-Tactically maneuvering targets are difficult
to track since acceleration cannot be observed
directly and the accelerations are induced by human
control or an autonomous guidance system therefore
they are not subject to deterministic models. A common
tracking system is the two-state Kalman Filter
with a Singer maneuver model where the second order
statistics of acceleration is the same as a first
order Markov process. The Singer model assumes a
uniform probability distribution on the target s acceleration
which is independent of the x and y direction.
In practice, it is expected that targets have constant
forward speed and an acceleration vector normal to
the velocity vector, a condition not present in the
Singer model. This paper extends the work of Singer
by presenting a maneuver model which assumes constant
forward speed and a probability distribution on
the targets turn-rate Platform: |
Size: 265216 |
Author:jorgehas |
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Description: 包含大量的卡尔曼滤波，平滑，有小例子来学习，老外编的-Kalman filter toolbox written by Kevin Murphy, 1998.
See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details.
Installation
1. Install KPMtools http://www.ai.mit.edu/~murphyk/Software/KPMtools.html
3. Assuming you installed all these files in your matlab directory, In Matlab type
addpath matlab/KPMtools
addpath matlab/Kalman
Demos
-
See tracking_demo.m for a demo of 2D tracking.
See learning_demo.m for a demo of parameter estimation using EM.
Platform: |
Size: 13312 |
Author:李腾 |
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Search - kalman filter for tracking