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Kalman
- Kalman滤波处理运动小球圆心位置，实时测量小球的速度、加速度-Kalman filtering processing ball movement right position
MotorKalman
- 步进电机的MATLAB仿真程序，采用了卡尔曼滤波，对定子电流进行估计，并估算出转子的位置和速度-Continuous time extended Kalman filter simulation for two-phase step motor，Estimate the stator currents, and the rotor position and velocity, on the basis of noisy measurements of the stator currents.
Matlab_GPS_Toolbox[1]
- GPS TOOLBOX包含以下内容： 1、GPS相关常量和转换因子； 2、角度变换； 3、坐标系转换： 点变换； 矩阵变换； 向量变换； 4、专用测绘程序； 5、专用统计函数； 6、GPS时间工具； 7、专用GPS数据处理函数； 8、航迹和相关工具； 9、卫星位置计算； 10、高度和方位角判定，以及卫星可见性； 11、DOP（dilution of precision）计算，卫星选取和相关函数；
kalman
- kalman滤波 针对二阶系统的位置速度估计 适合于初学kalman滤波算法的朋友 代码含有详细解释-kalman filter for the position of second-order system is suitable for beginners speed estimation kalman filter algorithm friend code contains detailed explanations
outdoorGPScode
- This is code for finding position of user. This code uses Kalman filter.
kalmanindoor
- This code is used to calculate the position of user indoor (using KALMAN).
gps_constellation_emluator
- GPS的卡尔曼滤波仿真 gps constellation emluator epoch:2007-11-13 03:57:16 gps kalman gps kalman zishiying gps position read eph_data-Simulation of the GPS Kalman filter gps constellation emluator epoch :2007-11-13 03:57:16 gps kalman gps kalma
radt
- Tracking targets with radar is an important step in ensuring safety in such endeavors as air travel or military operations. To account for inherent inaccuracies in raw radar measurements of position, and to obtain accurate velocity data, we implement
kalman
- 用卡尔曼滤波方法跟踪运动物体，从而检测出运动物体目标-The first just does detection by background subtraction. This can be considered as the ground truth. The second feeds the detection output into a Kalman filter. The predicted position from the kalman filter (red) is comp
GPSINSposMatlab
- GPS/INS位置组合输出校正Matlab仿真 文件说明： 组合主文件卡尔曼滤波程序 飞机飞行轨迹与INS输出数据 -GPS/INS position of portfolio simulation of the output document describes the Matlab Calibration: s_GPS_INS_position_sp_demo.m combination master file kalman_GPS_INS_position_sp_NFb.m
global_6state_M
- Determine the target s ECEF position based on up to 4 sensor s measurements. The sensor has range, bearing, and elevation data. The measurements were used for Kalman filter processing.-Determine the target s ECEF position based on up to 4 sensor s me
kalman_filtering
- Kalman Filter. It s about one of the most inventions in the world. It s used to estimate the position of a moving body.
ApplicationsoftheKalmanFilterslgorithmtorobotloca
- To model the robot position we wish to know its x and y coordinates and its orientation. These three parameters can be combined into a vector called a state variable vector. The robot uses beacon distance and angle measurements and locomotion i
KALMAN_GPS
- 利用卡尔曼滤波实现的GPS动态定位的程序，可以获得速度和位置-Using the GPS Kalman filter is the dynamic positioning of the program, get the speed and position
s_GPS_INS_position_sp_demo
- GPS/INS位置组合输出校正Matlab仿真 文件说明： s_GPS_INS_position_sp_demo.m 组合主文件 kalman_GPS_INS_position_sp_NFb.m 卡尔曼滤波程序 ode500.mat 飞机飞行轨迹与INS输出数据 将三个文件放到同一个文件夹中，运行主文件即可。 希望对此方向的初学者有所帮助。-GPS/INS position output correction Matlab simulation com
Matlab-GPS-Toolbox
- 非常完善的GPS toolbox，内含中文readme以及中文翻译的介绍。 GPS TOOLBOX包含以下内容： 1、GPS相关常量和转换因子； 2、角度变换； 3、坐标系转换： 点变换； 矩阵变换； 向量变换； 4、专用测绘程序； 5、专用统计函数； 6、GPS时间工具； 7、专用GPS数据处理函数； 8、航迹和相关工具； 9、卫星位置计算； 10、高度和方位角判定，以及卫星可见性； 11、DOP（dilution
aero_radmod_dsp
- This demonstration shows how to use a Kalman filter to estimate an aircraft s position and velocity from noisy radar measurements.
kalman-filtering
- 卡尔曼滤波程序： kalman filtering-load initial_track s y:initial data,s:data with noise T=0.1 yp denotes the sample value of position yv denotes the sample value of velocity Y=[yp(n) yv(n)] error deviation caused by the random acce
kalman-test
- 通过此卡尔曼滤波，可获得比较精准的载体位置，速度，加速度等信息。-Through the kalman filter, can get a more accurate carrier position, velocity, acceleration and other information.
Kalman
- Kalman filter implementation. Kalman implemented in an inverted pendulum, by controlling the position and measuring the speed, namely by integrating the actual position. Kalman predicts spreads far and correcting any errors caused by sensors