Description: 本程序是用matlab开发的扩展Kalman Filter-this procedure is used Matlab development of the extended Kalman Filter Platform: |
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Author:sun |
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Description: 文件包含有5项内容：
一、扩展卡尔曼滤波EKF
二、去偏转换卡尔曼滤波CMKF
三、最小二乘拟和的方法
四、最小二乘、EKF、CMKF的比较
五、野值剔除算法
用MATLAB实现了这些具体算法和要求
-document contains five elements : an extended Kalman Filter EKF two, Partial conversion to CMKF three Kalman filtering, and the least squares method to be four, least squares, EKF. Comparison of five CMKF, excluding outliers algorithm in MATLAB these algorithms and specific requirements Platform: |
Size: 226304 |
Author:jiji |
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Description: The purpose of this paper is to provide a practical introduction to the discrete Kalman
filter. This introduction includes a description and some discussion of the basic
discrete Kalman filter, a derivation, description and some discussion of the extended
Kalman filter, and a relatively simple (tangible) example with real numbers &
results.-The purpose of this paper is to provide a pra ctical introduction to the discrete Kalman fil ter. This introduction includes a description and some discussion of the basic discrete Kalma n filter, a derivation. description and some discussion of the extende d Kalman filter. and a relatively simple (tangible) example wit h real numbers Platform: |
Size: 221184 |
Author:上将 |
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Description: ：介绍了扩展卡尔曼滤波算法和无迹变换(unscented transformation，UT)算法，并对扩展卡尔曼滤波算法(EKF)和无
迹卡尔曼滤波算法(UKF)进行比较，阐明了UKF优于EKF。在此基础上，提出了一种基于Unscented变换(uT)的高斯和滤
波算法，该算法首先通过合并准则得到适当个数的混合高斯模型，逼近系统中非高斯噪声的概率密度-: Introduction of the extended Kalman filter algorithm and unscented transform (unscented transformation, UT) algorithm, the extended Kalman filter algorithm (EKF) and unscented Kalman filter (UKF) for comparison to clarify the UKF is superior to EKF. On this basis, we propose an approach based on Unscented Transform (uT) and the Gaussian filtering algorithm, which first of all, by merging the appropriate number of criteria to be a mixture of Gaussian model, which was close to the system of the Central African Gaussian noise probability density Platform: |
Size: 205824 |
Author:lyh |
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Description: Carrier-phase synchronization can be approached in a
general manner by estimating the multiplicative distortion (MD) to which
a baseband received signal in an RF or coherent optical transmission
system is subjected. This paper presents a unified modeling and
estimation of the MD in finite-alphabet digital communication systems. A
simple form of MD is the camer phase exp GO) which has to be estimated
and compensated for in a coherent receiver. A more general case with
fading must, however, allow for amplitude as well as phase variations of
the MD.
We assume a state-variable model for the MD and generally obtain a
nonlinear estimation problem with additional randomly-varying system
parameters such as received signal power, frequency offset, and Doppler
spread. An extended Kalman filter is then applied as a near-optimal
solution to the adaptive MD and channel parameter estimation problem.
Examples are given to show the use and some advantages of this scheme. Platform: |
Size: 827392 |
Author:吴大亨 |
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Description: 目标跟踪的扩展卡尔曼滤波算法主函数的文件是：kal_demo.m
近似网格滤波的主函数文件是：bayes_demo.m
近似网格滤波划分网格的方法是：以目标上一个时刻的位置作为中心进行网格的划分，每个网格大小为1，总的区域为5*5
改进后算法的主函数文件是：trackiing_demo.m-Target tracking extended Kalman filter algorithm is the main function of the document: kal_demo.m approximate mesh filter paper is the main function: bayes_demo.m approximate mesh filter into the grid method is: in order to target the location of a moment as the central to carry out the division of the grid, each grid size of 1, with a total area of 5* 5 to improve the algorithm Platform: |
Size: 138240 |
Author:Lin |
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Description: 介绍了几个基于EKF扩展卡尔曼滤波的例子，可以帮助更好的理解扩展卡尔曼滤波-Introduced a few based on extended Kalman filter EKF example, can help a better understanding of extended Kalman filter Platform: |
Size: 16384 |
Author:yueyang |
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Description: 扩展卡尔曼滤波源代码
希望能够对学习Kalman技术的朋友有所帮助-Extended Kalman filter source code hope to be able to learn from friends Kalman technical help Platform: |
Size: 1024 |
Author:刘英超 |
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Description: Introduction to Estimation and the Kalman Filter (KC-1)
Extended Kalman Filter Navigation System Example Platform: |
Size: 1561600 |
Author:刘冬 |
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Description: The state space model is nonlinear and is input to the function along with the current measurement. The function performs the extended Kalman filter update and returns the estimated next state and error covariance Platform: |
Size: 1024 |
Author:sofi |
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Description: Speed-sensorless Direct Torque Control for Asynchronous Machine Based on Extended Kalman Filter Platform: |
Size: 705536 |
Author: |
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