INTELLIGENT INFORMATION PROCESSING FOR INERTIAL-BASED NAVIGATION SYSTEMS
| Author(s) | Chong Shen |
| Publisher | Springer |
| Date | 2021 |
| Pages | 227 |
| Format | |
| Size | 5 Mb |
| D O W N L O A D | |
As a product of modern navigation theory and technology, integrated navigation increasingly utilizes inertial navigation systems (INS) due to their inherent advantages like autonomy, high short-term accuracy, and all-environment operation. Information processing is paramount in these INS-based systems.
This book focuses on mitigating the error sources inherent in INS data, including gyroscope noise and temperature drift, as well as addressing issues arising from discontinuous observation data, all of which compromise navigation accuracy and robustness.
The book details typical inertial devices and integrated navigation architectures, analyzing techniques for gyro noise suppression, temperature drift error modeling and compensation, navigation strategies for handling discontinuous data, and exploring brain-inspired navigation paradigms.
The book seeks to aid readers in resolving these issues. It incorporates simulation-based verification of the presented intelligent information processing methods, making it a valuable resource for students, researchers, and engineers in navigation-related disciplines.
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