MATLAB Code Implementation for Strapdown Inertial Navigation System Simulation

In this document, we provide a detailed explanation of fundamental concepts and principles related to strapdown inertial navigation systems. Strapdown INS technology is extensively used for measuring and tracking object parameters including position, velocity, and orientation. Our focus here is on demonstrating how to utilize MATLAB simulation programs to replicate the working mechanism of strapdown inertial navigation systems. The implementation includes comprehensive coverage of the system's basic architecture, sensor integration methodologies, and core navigation algorithms. Through MATLAB code, we simulate sensor data processing, coordinate transformations, and navigation solution computation using key functions like quaternion operations for attitude determination and Kalman filtering for error compensation. By studying this documentation, you will gain deeper insights into strapdown INS technology and acquire practical skills in applying MATLAB source code to simulate and analyze inertial navigation system behavior, including implementation approaches for inertial measurement unit (IMU) data integration and mechanization equations.