TY  - BOOK
AU  - Zhao,Donghua
ED  - SpringerLink (Online service)
TI  - Intelligent Information Processing for Polarization Compass and Inertial Integrated Navigation System
T2  - Navigation: Science and Technology,
SN  - 9789819771356
AV  - Q342 
U1  - 006.3 23
PY  - 2024///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Computational intelligence
KW  - Wireless communication systems
KW  - Mobile communication systems
KW  - Signal processing
KW  - Machine learning
KW  - Computational Intelligence
KW  - Wireless and Mobile Communication
KW  - Digital and Analog Signal Processing
KW  - Machine Learning
N1  - Introduction -- Orientation Method and System for Atmospheric Polarization Pattern -- Processing technology for Bioinspired polarization compass noise -- Orientation error modeling and compensation technology for Bioinspired polarization compass -- Seamless Combined Orientation Method and System for Bioinspired Polarization Compass/Inertial Navigation -- Summary and Prospect
N2  - This book systematically elaborates on the intelligent information processing technology for a bioinspired polarization compass and inertial integrated navigation system. It consists of three parts. Firstly, the research background and significance of intelligent information processing technology for a bioinspired polarization compass are introduced. It analyzes the research status, development trends, and comparisons with foreign countries in the field of orientation methods based on atmospheric polarization patterns. The processing methods of the orientation error for a bioinspired polarization compass and integrated system information processing are also covered. Subsequently, the noise components of a bioinspired polarization compass and the impact of noise on its directional accuracy are discussed. It also introduces the denoising and orientation error compensation technique based on intelligent algorithms such as multi-scale principal component analysis and multi-scale adaptive time-frequency peak filtering. The third part focuses on the application of cubature Kalman filter and their improvement methods in seamless combination orientation systems based on a bioinspired polarization compass. A seamless combination orientation model under discontinuous observation conditions is proposed and a discontinuous observation algorithm based on neural networks is designed
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-97-7135-6
ER  -