搜索资源列表
introduction-to-kf
- 卡尔曼滤波方法的经典文章,简单易懂,理解卡尔满滤波的精髓-Kalman filtering method classic article, easy to understand, to understand the essence of Karl full filtering
SINSmatalb
- 捷联惯导SINS静态仿真 matalb 关于四元数法捷联惯导解算算法的matlab程序组合包,其中包括滤波初始对准仿真,罗经法初始对准仿真,捷联惯导解算仿真,组合卡尔曼滤波等演示程序及其必需的参数矩阵转换程序.-SINS SINS static simulation matalb on quaternion SINS algorithm matlab program solver combination package that includes filtering the initial
0999
- 卡尔曼滤波是一种数据处理方法,它是一种线性最小方差无偏估计准则,基于系统 状态估计和当前观测,通过引入状态空间而获得的新的状态估计.本篇论文陈述了卡尔曼滤 波的基本思路和算法;并通过仿真,显示卡尔曼滤波的功能,以及如何用它来跟踪方向确定、速度恒定的飞行器。-Kalman filter is a data processing method, which is a linear minimum variance unbiased estimation criteria, based on
KalmanGain
- 卡尔曼滤波在单片机上的应用 KalmanGain = EstimateCovariance * sqrt( 1 / ( EstimateCovariance * EstimateCovariance + MeasureCovariance * MeasureCovariance )); //计算本次滤波估计值 EstimateValue = EstimateValue + KalmanGain*( Measure – EstimateValue ); //更新估计协方差 Es
new-rate-adaptive-
- 基于新息自适应卡尔曼滤波的加速度计信号降噪-Based on the new rate adaptive Kalman filtering accelerometer signal noise
neural-network-
- 基于卡尔曼滤波技术的人工神经网络权重估算及应用-Artificial neural network weights based on Kalman filtering technique Estimation and Application
-dynamic-positioning-
- GPS动态定位中卡尔曼滤波模型的建立及其强跟踪算法研究-Establishment of dynamic positioning GPS Kalman filter model and its strong tracking algorithm
ARMA-model
- 基于辨识ARMA模型的野值剔除方法与卡尔曼滤波修正算法-ARMA model identification methods and eliminate outlier correction algorithm based on Kalman filter
Multi-target
- 多目标跟踪的改进Camshift/卡尔曼滤波组合算法-Multi-target tracking improvements Camshift/Kalman filter algorithm combinations
Moving-Object-Detection-and-Tracking
- 研究了目前运动对象检测与跟踪的一些常用方法,包括时域差分法、背景差分法、基于光流场的检测方法和卡尔曼滤波、特征光流法的跟踪方法,并对各种方法进行了比较,指出其优缺点及适用范围,并给出了时域差分及背景差分方法的实验结果-Currently some of the commonly used methods to study the detection and tracking of moving objects, including difference time domain method, b
IMM_UKF
- 在主/被动雷达双传感器目标跟踪背景下, 提出一种基于IMM- UKF 滤波的加权数据融合算法。-A data fusion algorithm using IMM-UKF is presented based on active/ passive radar target tracking. The algorithm is established in terms of IMM( interact ing mult iple model) and UKF( unscented Kalman f
kf_program1
- 卡尔曼滤波程序,在matlab环境下运行,n=1时-a program about Kalman Filter in Matlab
KalmanFilter
- 卡尔曼滤波器在GPS导航中的一些应用,包括滤波算法和一些误差分析-Kalman filter in GPS navigation in a number of applications, including filtering algorithms and error analysis of some
cskm
- 一种基于压缩感知理论的卡曼滤波,仿真结果很不错-Based on the theory of compressed sensing Kalman filter, the simulation results is very good
EKF
- 扩展卡尔曼滤波(EKF)仿真演示,空中水平抛射出的物体,包括噪声。-extended Kalman Filter
MEKF
- 该论文提出了一种改进的扩展卡尔曼滤波方法,实现对红外,雷达传感器的信息融合跟踪算法。性能优于传统EKF-This paper presents an improved extended Kalman filter method, to achieve the infrared, radar sensor information fusion tracking algorithm. Better performance than traditional EKF
1
- 对Kalman(卡尔曼)滤波器的理解.PDF,对kalman的滤波有了很详细的解释-For Kalman (Kalman) filter to understand. PDF, on kalman filter has a very detailed explanation
kalman_CPP
- 利用C++实现矩阵运算和卡尔曼滤波目标跟踪算法-The use of C++ implementation matrix and Kalman filter tracking algorithm
kf
- 卡尔曼滤波在MATLAB上的实现,本例子是常数型卡尔曼-Kalman filter implemented in MATLAB, and this example is the constant Kalman
acceleration-signal
- 利用加速度信号测量位移是油田抽油井光杆位移测量的主要方法 而加速度信号的随机噪声和趋势项是影响 测量精度的主要因素 本文提出了一种基于学习的实时消噪和剔除趋势项方法 学习时先获取一段时间的加速度信 号 再通过时间序列分析技术得出 ARIMA 模型及其参数 最后基于 FFT 变换的 Rife-Jane 频率估计方法求出加速度 信号的周期 在线实时消噪和剔除趋势项方法是基于学习阶段所得模型参数 运用卡尔曼滤波技术消除加速度信号 随机噪声 按周期两次积分得到光杆位移 用加窗递推最小二乘