MATLAB Implementation of Integrated Navigation Systems

This documentation discusses integrated navigation programs primarily designed to execute dead reckoning methods. Dead reckoning is a computational approach for estimating the position and velocity of aircraft or vessels on the Earth's surface. These programs typically involve multiple tasks and processing stages, including data acquisition, data preprocessing, sensor fusion, filtering algorithms, system calibration, and position output. The implementation commonly integrates data from various sensors such as GPS receivers, IMU (Inertial Measurement Units), and barometric altimeters. To ensure system accuracy and reliability, developing integrated navigation programs requires comprehensive consideration of multiple technical factors and implementation details. Code implementation typically involves Kalman filtering techniques for sensor fusion, coordinate transformation algorithms for position calculations, and error compensation methods to handle sensor drift and environmental factors.