The D-S theory algorithm with application in the strap-down inertial navigation system

摘要

The strap-down inertial navigation system (SINS) can produce the cumulative error when it works. To address this problem, the D-S theory is introduced in the system. The confidence space can be setup via the D-S theory and multi-algorithms can be used in the SINS system to obtain multi-groups information data. The fuse algorithm can compute and get the optimal information using the D-S theory confidence space and the limit of definite integral. The optimal information can be used in the next step, thus to reduce the error. The result demonstrates that the D-S theory algorithm can reduce the cumulative error of SINS and improve the system's precision.