Description: 随着这些年计算机硬件水平的发展, 计算速度的提高, 源自序列蒙特卡罗方法的蒙特卡罗粒子滤波方法的应用研究又重新活跃起来。本文的这种蒙特卡罗粒子滤波算法是利用序列重要性采样的概念, 用一系列离散的带权重随机样本近似相
应的概率密度函数。由于粒子滤波方法没有像广义卡尔曼滤波方法那样对非线性系统做线性化的近似, 所以在非线性状态估计方面比广义卡尔曼滤波更有优势。在很多方面的应用已经逐渐有替代广义卡尔曼滤波的趋势。-With the years the level of computer hardware development, the speed of calculation, derived from the sequence of the Monte Carlo method, Monte Carlo particle filter method applied research has once again become active again. In this paper, this kind of Monte Carlo particle filter is to use the concept of sequence of the importance of sampling, using a series of discrete random sample with weights similar to the corresponding probability density function. Since the particle filtering method is not as broad as Kalman filtering method for nonlinear system to do linear approximation, nonlinear state estimation in the generalized Kalman filter than an advantage. Applications in many areas has been gradually generalized Kalman filter has an alternative trend. Platform: |
Size: 528384 |
Author:阳关 |
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Description: Rao-Blackwellised Particle Filters (RBPFs) are a class of Particle
Filters (PFs) that exploit conditional dependencies between
parts of the state to estimate. By doing so, RBPFs can
improve the estimation quality while also reducing the overall
computational load in comparison to original PFs. However,
the computational complexity is still too high for many
real-time applications. In this paper, we propose a modified
RBPF that requires a single Kalman Filter (KF) iteration per
input sample. Comparative experiments show that while good
convergence can still be obtained, computational efficiency is
always drastically increased, making this algorithm an option
to consider for real-time implementations. Platform: |
Size: 121856 |
Author:阳关 |
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Description: 卫星姿态确定及敏感器误差修正的滤波算法研究。介绍了几种不同的滤波算法，如卡尔曼滤波，扩展卡尔曼滤波，粒子滤波等在姿态确定上的应用，并比较了它们仿真的结果-Satellite attitude determination and sensor error correction filtering algorithms. Introduced several different filtering algorithms, such as Kalman filtering, extended Kalman filter, particle filter, such as in the attitude determination applications, and compare their simulation results Platform: |
Size: 6289408 |
Author:yueyang |
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Description: 粒子滤波在无线传感器网络中的应用，与卡尔曼滤波相比较，具有优势。-Particle filter in the wireless sensor network applications, compared with the Kalman filter, has an advantage. Platform: |
Size: 2217984 |
Author:zhangsan |
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Description: Ka lman 滤波的人体运动位置跟踪算法。基于视频的人体运动跟踪是当前计算机视觉研究的热点, 具有广泛的应用领域. 文中提出
一种基于Kalman 滤波的跟踪算法. 合理使用自适应背景颜色模型, 能够准确地对人体运动位置进
行跟踪-Ka lman human filtering algorithm to track the location of sports. Video-based human motion tracking is the current research on computer vision, with a wide range of applications. This paper presents a Kalman filter-based tracking algorithm. The rational use of adaptive background color model, the human body be able to accurately track the location of sports Platform: |
Size: 232448 |
Author:谭园芳 |
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Description: The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topic in control theory and control systems engineering. Together with the linear-quadratic regulator (LQR), the Kalman filter solves the linear-quadratic-Gaussian control problem (LQG). The Kalman filter, the linear-quadratic regulator and the linear-quadratic-Gaussian controller are solutions to what probably are the most fundamental problems in control theory. Platform: |
Size: 306176 |
Author:vignesh |
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Description: 这是第二版的一个成功的教材和专业的参考，对卡尔曼滤波的理论和应用。有组织的使用在高级本科水平和作为第一年，研究生级别当然，这本书包括现实世界的问题在实践中的典型实例，还涵盖了更多的实际问题的执行情况。这个更新版包括了一些新问题和新的章节-This is the second edition of a successful textbook and professional reference on Kalman filter theory and applications. The use of organized senior level and as a first year undergraduate, graduate-level course, this book includes real-world problem in a typical example of the practice, but also covers more practical aspects of implementation. This updated version includes a number of new issues and new chapters Platform: |
Size: 43008 |
Author:chaiwuge |
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Description: Kalman滤波器在单运动目标自动跟踪中的应用,相当经典，希望对大家有所帮助。-Kalman filter in a single moving object automatic tracking of applications, very classic, I hope to help all of you. Platform: |
Size: 143360 |
Author:张斌斌 |
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Description: In statistics, the Kalman filter is a mathematical method named after Rudolf E. Kalman. Its purpose is to use measurements that are observed over time that contain noise (random variations) and other inaccuracies, and produce values that tend to be closer to the true values of the measurements and their associated calculated values. The Kalman filter has many applications in technology, and is an essential part of the development of space and military technology. Perhaps the most commonly used type of very simple Kalman filter is the phase-locked loop, which is now ubiquitous in FM radios and most electronic communications equipment. Extensions and generalizations to the method have also been developed.-In statistics, the Kalman filter is a mathematical method named after Rudolf E. Kalman. Its purpose is to use measurements that are observed over time that contain noise (random variations) and other inaccuracies, and produce values that tend to be closer to the true values of the measurements and their associated calculated values. The Kalman filter has many applications in technology, and is an essential part of the development of space and military technology. Perhaps the most commonly used type of very simple Kalman filter is the phase-locked loop, which is now ubiquitous in FM radios and most electronic communications equipment. Extensions and generalizations to the method have also been developed.
Platform: |
Size: 14336 |
Author:yu |
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Description: 这本书提供了坚实的介绍卡尔曼滤波的理论和实践方面的读者。它已经更新了卡尔曼滤波，包括适应非线性滤波，更可靠的平滑方法，并在导航应用程序开发的实施和应用的最新发展。所有的软件是在MATLAB中，提供给读者的机会，发现如何卡尔曼滤波行动，并考虑实际运算需要保持结果的准确性。-This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results. Platform: |
Size: 3176448 |
Author:luaw2006 |
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Description: 卡尔曼滤波，扩展卡尔曼滤波，无迹卡尔曼滤波，黄小平老师的著作-this book introduces the principle and applications of kalman filter，it also includes matlab simulations Platform: |
Size: 38115328 |
Author:saintwu |
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Description: 《卡尔曼滤波原理及应用:MATLAB仿真》程序,书不贵，建议大家可以买一本看看，里面有例子和程序，看看能很快入门的，减少您研究过程中走很多弯路！- Kalman filter theory and applications: MATLAB simulation procedures, the book is not expensive, we can buy a look at the recommendations, there are examples and procedures to see the entry soon, reducing your research process to take a lot of detours! Platform: |
Size: 12327936 |
Author:王涛 |
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Description: 卡尔曼滤波在温度测量中的应用，本程序是用matlab实现的。(Kalman filter in temperature measurement applications, this procedure is achieved using matlab.) Platform: |
Size: 1024 |
Author:小午
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Description: 基于卡尔曼滤波对现有采样数据进行滤波，有效降低观测值的误差。卡尔曼滤波是一种时域方法，它把状态空间的概念引入随机估计理论，用状态方程、观测方程和噪声激励递推估计测量噪声，便于实现实时应用。(The existing sampled data is filtered based on Kalman filter, which can effectively reduce the error of the observed value. Kalman filtering is a time domain method. It introduces the concept of state space into the theory of stochastic estimation, and uses state equation, observation equation and noise excitation to estimate noise. It is easy for real-time applications.) Platform: |
Size: 1024 |
Author:会飞的鱼鱼
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Description: Y. Kim and H. Bang, Introduction to Kalman Filter and Its Applications, InTechOpen, 2018
% Example 3.3.1 - Target tracking Platform: |
Size: 1715 |
Author:kwksel91@gmail.com |
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