Research Article
Quantitative Analysis of Sensor Errors and Disturbance Compensation Strategies for Combined Navigation Systems in Dynamic Scenarios
@INPROCEEDINGS{10.4108/eai.24-4-2026.2364939, author={Jingchao Wu}, title={Quantitative Analysis of Sensor Errors and Disturbance Compensation Strategies for Combined Navigation Systems in Dynamic Scenarios}, proceedings={Proceedings of the 3rd International Conference on Mechanics, Electronics Engineering and Automation, ICMEEA 2026, April 24-26, 2026, Singapore, Singapore}, publisher={EAI}, proceedings_a={ICMEEA}, year={2026}, month={9}, keywords={Integrated navigation Odometer MEMS inertial measurement unit Interactive multi-model Neural network}, doi={10.4108/eai.24-4-2026.2364939} }- Jingchao Wu
Year: 2026
Quantitative Analysis of Sensor Errors and Disturbance Compensation Strategies for Combined Navigation Systems in Dynamic Scenarios
ICMEEA
EAI
DOI: 10.4108/eai.24-4-2026.2364939
Abstract
In vehicle-carried dynamic situations, because of Global Navigation Satellite System (GNSS) signal disappearance and temperature shift errors inside the Micro-Inertial Measurement Unit (MIMU), the positioning precision of combined navigation systems often experiences big reduction, which becomes one of the core difficulties to realize high-reliability intelligent driving. To deal with this problem, this research mainly uses a loose coupling structure that integrates GNSS, Strapdown Inertial Navigation Systems (SINS) and Odometry (OD), and applies adaptive algorithms like Interactive Multi-Model (IMM) to carry out multi-source information fusion. Multi-sensor fusion and intelligent error compensation technologies are two vital methods for integrated navigation systems. This review shows that their combined application can strongly improve the accuracy and robustness of these systems, especially in dynamic environments. Hence, this provides an important technical direction for the engineering realization of this technology.
