1.1 Development Background and Research Significance 1
1.2 Bioinspired polarization orientation method 3
1.3 Orientation error processing method for bioinspired polarization compass 13
1.4 Combined orientation system and method for bioinspired polarizaition compass/inertial navigation 20
Chapter 2 Orientation Method and System for Atmospheric Polarization Pattern 27
2.1 Orientation method for atmospheric polarization pattern 28
2.1.1 Analysis and automatic identification of neutral point characteristics of atmospheric polarization pattern 28
2.1.2 Orientation algorithm based on solar meridian for imaging bioinspired polarization compass 32
2.2 Design and integration for bioinspired polarization compass based on FPGA 37
2.3 Verification of Bioinspired Polarization compass orientation test 41
2.3.1 Static orientation test 46
2.3.2 Turntable dynamic orientation test 48
2.3.3 UAV airborne dynamic orientation test 49
2.4 Chapter Summary 53
Chapter 3 Processing technology for Bioinspired polarization compass noise 55
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内容摘要 This book systematically and comprehensively elaborates on the intelligent information processing technology for a bioinspired polarization compass. The content of this book are briefly consisted of three parts. The research background and significance of intelligent information processing technology for a bioinspired polarization compass is introduced first, which analyzes the research status, development trends, and gap with foreign countries in the field of orientation methods based on atmospheric polarization pattern, as well as the processing methods of the orientation error for a bioinspired polarization compass and integrated system information processing. Subsequently, the noise components of a bioinspired polarization compass and the impact of noise on its directional accuracy is analyzed, introducing 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.
精彩内容 This book systematically and comprehensively elaborates on the intelligent information processing technology for a bioinspired polarization compass.The content of this book are briefly consisted of three parts.The research background and significance of intelligent information processing technology for a bioinspired polarization compass is introduced first,which analyzes the research status,development trends,and gap with foreign countries in the field of orientation methods based on atmospheric polarization pattern,as well as the processing methods of the orientation error for a bioinspired polarization compass and integrated system information processing.Subsequently,the noise components of a bioinspired polarization compass and the impact of noise on its directional accuracy is analyzed,introducing 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.
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