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- 工学博士学位论文 目前，扩展卡尔曼滤波是研究初始对准和惯性/GPS组合导航问题的一个主要手段。 但初始对准和惯性/GPS组合导航问题本质上是非线性的，对-Engineering PhD thesis Currently, EKF is the initial alignment study and inertial / GPS navigation of a major means. However, initial alignment and inertial / GPS navigation
clock12323232
- 工学博士学位论文 目前，扩展卡尔曼滤波是研究初始对准和惯性/GPS组合导航问题的一个主要手段。 但初始对准和惯性/GPS组合导航问题本质上是非线性的，对-Engineering PhD thesis Currently, EKF is the initial alignment study and inertial / GPS navigation of a major means. However, initial alignment and inertial / GPS navigation
EKFyognyudaohang
- 实现EKF滤波在导航重点的应用，精度相对较高，-achieve EKF filter in navigation key applications, a relatively high accuracy.
testEKF
- EKF的效果需要有test来测验。test中给定了初值来验证EKF的滤波效果-EKF the test results need to test. Test were given to verify the initial value of the filtering effect of the EKF
SDINS_quaternion
- 采用四元数方法推导出SDINS数学平台角误差方程和速度误差方程，并以此建立非线性初始对准误差模型，应用扩展卡尔曼滤波(EKF)进行精对准，确定初始失调角。-using quaternion approach derived platform SDINS mathematical equations and the error rate of error equation, and the establishment of this initial alignment error nonlinea
gyro_EKF
- 给出了一种基于陀螺和四元数的EKF卫星姿态确定算法，非常实用-is based on a gyroscope and quaternion the EKF satellite attitude determination algorithm, a very practical
UKFCORSE
- EKF求解GPS粗码。实时性高，精度高。主要为导航定位设计-EKF crude for GPS code. Real-time high and high accuracy. Mainly for navigation design
nonlinearfiltertools
- 国外一款非线性估计的工具箱，粒子滤波、UKF、EKF等应有尽有。-abroad estimated Toolbox, the particulate filter, UKF, EKF will not disappoint.
NPFmain
- 文件夹中NPFMain.m为滤波算法主运行程序，CRLBCompute.m为计算CRLB并且画出CRLB、NPF、EKF/IMM-EKF滤波误差(均值和均方差)曲线。-folder NPFMain.m filtering algorithm for the main operating procedures, CRLBCompute.m estimator to calculate and paint estimator, NPF, EKF / IMM - EKF filter error (m
ekfslam_web_v2.0
- 基于EKF的机器人SLAM演示程序, 对于搞机器人定位及地图构建的朋友会有一定帮助, 这个版本用的人比较多
upf_ekf_ukf_epf_demos
- 关于pf，ekf，ukf，upf，epf，并加上mcmc算法
ekf
- 利用扩展卡尔曼进行状态估计 状态向量四维 测量向量二维 误差为高斯白噪声
hybridSIREKF
- To estimate the input-output mapping with inputs x ％ and outputs y generated by the following nonlinear, ％ nonstationary state space model: ％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)] ％ + 8cos(1.2t) + process noise ％ y(t) = x(t)^(2) / 2
upf_demos.tar
- ％ PURPOSE : Demonstrate the differences between the following filters on the same problem: ％ ％ 1) Extended Kalman Filter (EKF) ％ 2) Unscented Kalman Filter (UKF) ％ 3) Particle Filter (PF) ％ 4) PF with EKF proposal (PFEKF) ％ 5) PF wit
yilei
- 基于2D和红外的异类传感器的数据融合算法，滤波器选用EKF扩展卡尔曼滤波
ekfukf_1_1.tar
- 用EKF/UKF的Matlab仿真程序包
93317429ekf_example
- ekf扩展卡尔曼滤波,效果比较好extended kalman filter
examples_NFT2
- 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
upf_demos
- upf滤波算法源程序，另包含EKF、UKF，PF算法源程序
work
- 自己写的matlab的EKF算法，适用于初学者