Strapdown Inertial Navigation System Transfer Alignment

This document presents a MATLAB implementation of transfer alignment for Strapdown Inertial Navigation Systems (SINS). The program incorporates a novel fixed-point smoothing algorithm designed to enhance computational efficiency and estimation accuracy. This algorithm serves as a valuable tool applicable across various engineering domains. The implementation approach involves utilizing SINS within the transfer alignment MATLAB framework to improve measurement precision, while employing the fixed-point smoothing technique to eliminate unwanted noise and systematic errors, thereby boosting both performance and stability. The algorithm structure typically includes recursive filtering components and smoothing iterations that process inertial measurement unit (IMU) data. Key MATLAB functions likely involve sensor data processing, Kalman filter implementations, and state estimation routines. We anticipate this methodology will play an increasingly significant role in future research, enabling better understanding and application of strapdown inertial navigation systems and MATLAB-based navigation algorithms.