书目名称 | Intelligent Information Processing for Inertial-Based Navigation Systems | 编辑 | Chong Shen | 视频video | | 概述 | Presents the adaptive de-noising algorithms to eliminate the noise of inertial sensors, based on the multi-scale analysis methods, such as wavelet analysis.Develops improved neural networks to establi | 丛书名称 | Navigation: Science and Technology | 图书封面 |  | 描述 | .This book introduces typical inertial devices and inertial-based integrated navigation systems, gyro noise suppression, gyro temperature drift error modeling compensation, inertial-based integrated navigation systems under discontinuous observation conditions, and inertial-based brain integrated navigation systems. Integrated navigation is the result of the development of modern navigation theory and technology. The inertial navigation system has the advantages of strong autonomy, high short-term accuracy, all-day time, all weather, and so on. And it has been applied in most integrated navigation systems. Among them, the information processing of inertial-based integrated navigation system is the core technology. Due to the effect of the device mechanism and working environment, there are errors in the output information of the inertial-based integrated navigation system, including gyroscope noise, temperature drift, and discontinuous observations, which will seriously reduce the accuracy and robustness of the system. And the book helps readers to solve these problems. The intelligent information processing technology involved is equipped with simulation verification, which can be | 出版日期 | Book 2021 | 关键词 | Inertial Sensors Error Processing; Integrated Navigation System; Brain-like Navigation System; Wavelet | 版次 | 1 | doi | https://doi.org/10.1007/978-981-33-4516-4 | isbn_softcover | 978-981-33-4518-8 | isbn_ebook | 978-981-33-4516-4Series ISSN 2522-0454 Series E-ISSN 2522-0462 | issn_series | 2522-0454 | copyright | Publishing House of Electronics Industry 2021 |
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