Strapdown Inertial Navigation System Transfer Alignment

Transfer alignment in strapdown inertial navigation systems is a technique where navigation information is transferred from a master inertial navigation system (INS) to a slave INS, primarily aimed at improving initial alignment accuracy and dynamic performance. When implementing this algorithm in MATLAB, developers must address tracking performance and time delay compensation issues through proper algorithmic design.

The core of transfer alignment lies in establishing a motion relationship model between the master and slave INS, typically using velocity-plus-attitude matching methods or acceleration-plus-angular-rate matching methods. MATLAB implementation requires constructing state equations and measurement equations, followed by optimal estimation using Kalman filtering. Key functions would include state transition matrix computation and measurement update routines.

Time delay problems become particularly critical in dynamic environments, where delays cause measurement information to become unsynchronized with actual states. Solutions include state prediction algorithms or delay compensation techniques such as timestamp synchronization or state vector augmentation. The tracking performance depends on filter design, where appropriate noise modeling and parameter tuning can effectively suppress dynamic disturbance errors through covariance matrix optimization.

For program implementation, modular development is recommended: first generate simulated inertial measurement unit (IMU) data, then build the transfer alignment filter module, and finally integrate time delay compensation to validate system performance. This structure facilitates debugging and performance optimization through independent module testing and integration.