Inertial Navigation Solution Using Gyroscope and Accelerometer Outputs
Implementing inertial navigation algorithms to compute aircraft position, velocity, and attitude angles by processing gyroscope and accelerometer measurements
Error Analysis of Inertial Navigation Systems (Gyroscopes and Accelerometers) with MATLAB Implementation
Implementation of error analysis for inertial navigation systems (gyroscopes and accelerometers) using MATLAB, including algorithm explanations and key function descriptions
MATLAB Implementation of Kalman Filter for MPU6050 Sensor Fusion
A MATLAB implementation of Kalman filtering for MPU6050 that filters gyroscope and accelerometer sampling data, eliminating gyroscope integration drift, temperature drift, and accelerometer transient errors to achieve precise attitude control through sensor fusion algorithms.
Strapdown Inertial Navigation System Simulation Using Quaternion Method
Simulation of strapdown inertial navigation system based on quaternion method with self-generated one-minute gyroscope and accelerometer data, including implementation of sensor data generation and quaternion-based attitude update algorithms
Calculating Navigation Angles Using Quaternions
This method computes navigation angles by integrating gyroscope and accelerometer signals through quaternion mathematics to achieve precise orientation estimation and avoid gimbal lock issues.
Gyroscope Allan Variance Analysis Function
Gyroscope Allan Variance Analysis Function with Implementation Framework