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EKF.RAR.rar
- 实现GPS+IMU扩展卡尔曼滤波组合导航，重力场和磁场推算姿态,Achieve the GPS+ IMU extended Kalman filter integrated navigation, gravity field and magnetic field profile projection
ExampleCode_iSensor_ADIS16405
- 在keil c开发环境下，采用C语言编写的对惯性测量单元（IMU+磁力计）ADIS16405的测试程序，希望能有所帮助-In keil c development environment, written using C language on the inertial measurement unit (IMU+ magnetometer) ADIS16405 testing procedures, hoping to help
integration_of_attitudes
- 利用三轴角速率型号和三轴加速度计信号结合扩展卡尔曼滤波实现三个姿态角度的融合-The use of three-axis angular velocity model and three-axis accelerometer signal extended Kalman filter combined with the realization of the integration of the three attitude angles
kalman-files-matlab
- 针对IMU和GPS联合解算提供了两个不同的卡尔曼滤波算法-IMU and GPS for the United Solution offers two different Kalman filter
DSP_INS_1.0
- The open source project DSP_INS is an inertial navigation system on the TI DSP platform TMS320F28335 with MEMS inertial sensors and commercial GPS module. Inertial sensors are actually used only for estimating attitude, heading and velocity.
GPS-INS11
- 实现GPS+IMU扩展卡尔曼滤波组合导航，重力场和磁场推算姿态-Achieve the GPS+ IMU extended Kalman filter integrated navigation, gravity field and magnetic field profile projection
程序
- imu融合算法，用扩展卡尔曼融合得到pitch和roll的角度。四元数更新姿态(The IMU fusion algorithm uses extended Kalman fusion to get pitch and roll angles. Quaternion update attitude)
GPS_IMU_Kalman_Filter-master
- 详细描述了通过卡尔曼滤波算法对GSP和imu数据进行融合(merge the gps and imu with the kalman)
demo_kf
- 这是一种在similink数据中只使用测距（UWB）和6轴imu传感器的融合算法(this is fusion algorithm with only ranging(UWB) and 6-axis imu sensor in similink data)