当前位置：
首页 资源下载
搜索资源 - extended kalman filter noise
搜索资源列表
-
0下载：
Object-based framework for performing Kalman filtering for discrete time systems or continuous-discrete hybrid systems. Includes code for the classical Kalman filter for linear systems, the extended Kalman filter (EKF), and the more recent unscented
-
-
0下载：
可以用于状态估计滤波等问题，去除噪声，获得较好的估计效果-extended kalman filter could use remove
noise and receive better estimates。
-
-
0下载：
姿态信息是飞行控制中最关键的参数之一,因此姿态测量成为飞行控制系统首要解决的问题。利用多MEMS传感器研制了一种微型姿态测量系统。利用三轴MEMS加速度计和三轴MEMS陀螺数据,由方向余弦矩阵的姿态表示形式推导了扩展Kalman滤波方程,解算出飞行器的俯仰角和横滚角 设计专家系统判断飞行器的运动状态,并根据该状态调整滤波算法中的测量噪声矩阵,使系统可同时满足静态情况和动态情况的使用 利用空速和高度数据对俯仰角进行修正,利用GPS解算航向角。将实验结果与国外最新
的商用自动驾驶仪的姿态结果进行
-
-
2下载：
基于EKF的神经网络自适应在线学习算法，包含例子和文档。-We show that a hierarchical Bayesian modeling approach allows us to perform
regularization in sequential learning. We identify three inference
levels within this hierarchy: model selection, parameter estimation, and
-
-
0下载：
This paper presents an adaptive information fusion method to improve the
accuracy and reliability of the altitude measurement information for small unmanned aerial
rotorcraft during the landing process. Focusing on the low measurement performance
-
-
0下载：
实现扩展卡尔曼滤波算法，通过多次测出均方差和方差从而滤除噪音-Achieve extended Kalman filter algorithm, by repeatedly measured in order to filter out all the noise variance and variance
-
-
1下载：
针对感应电机扩展卡尔曼滤波器转速估计中难以取得卡尔曼滤波器系统噪声矩阵和测量噪声矩阵最优值的问题，提出了一种基于改进粒子群算法优化的扩展卡尔曼滤波器转速估计方法。算法通过融合遗传算法和粒子群算法的优点，采用可调整的算法模型对粒子群算法进行改进，将改进的粒子群算法对扩展卡尔曼滤波器中的系统噪声矩阵和测量噪声矩阵进行优化处理，将优化后的卡尔曼滤波器应用于感应电机转速估计。-
Extended K
-
-
0下载：
一种快速Kalman滤波算法实现,。对于某些不能够采取离线计算的滤波过程来说，它可以在保证一定精度的同时极大地提高计算速度和减少计算占用资源- EKF Extended Kalman Filter for nonlinear dynamic systems
[x, P] = ekf(f,x,P,h,z,Q,R) returns state estimate, x and state covariance, P
for nonlinear dynamic system:
-
-
2下载：
基于扩张卡尔曼滤波的磷酸铁锂蓄电池SOC检测，给出了电池模型和算法实现过程。-The extended Kalman filter (EKF) method for SOC estimation has some problems such as the lack of an accurate model, and model errors due to the variation in the parameters of the model due to the nonlinear behav
-
-
0下载：
Extended Kalman filter for tracking frequency of sinusoid in noise
-
