Adaptive filter parameter reconstruction technology for rocket inertial navigation/satellite integrated navigation system.

ABSTRACT: The integration of micro-electro-mechanical systems (MEMS) strapdown inertial navigation systems (SINS) with global navigation satellite systems (GNSS) has emerged as a significant area of research due to its compact size, affordability, and high precision. In the context of guided rocket-borne MEMS-SINS/GNSS integrated navigation systems, the performance of navigation is characterized by the need for high overload, accuracy, and real-time capability. A variety of enhanced algorithms based on Kalman filtering are currently employed as integrated filtering methods, which comprehensively address deviations in the system model to improve navigation performance. The noise characteristics of MEMS inertial guidance devices change dramatically under long-term storage conditions, while the dynamic

SUBMITTER: Yang Z 

PROVIDER: S-EPMC12453862 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature