Strapdown Inertial Navigation System and GPS Integrated Navigation

In this article, we will discuss key components of the Strapdown Inertial Navigation System (SINS) and GPS integrated navigation program. This includes an exploration of the program's significance in modern navigation systems and the challenges encountered in practical applications. We will provide detailed analysis of implementation principles and methods for initial alignment and filtering algorithms, with specific attention to code-level implementation approaches. Through in-depth examination of how these algorithms operate, including coordinate transformation functions, Kalman filter implementations, and sensor fusion techniques, we can better understand their performance in real-world applications. Additionally, we will investigate factors that may affect algorithm performance, such as sensor calibration accuracy, data synchronization issues, and environmental disturbances, while proposing potential solutions including adaptive filtering methods and fault detection mechanisms. These discussions will provide readers with comprehensive understanding of SINS/GPS integrated navigation systems, including practical code implementation considerations for navigation data processing, state estimation, and error compensation techniques.