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惯性基偏振罗盘定向信息处理技术(Information Processing Technology for Bioinspired Polarization Compass)电子书

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作       者:Donghua Zhao(赵东花)

出  版  社:电子工业出版社

出版时间:2024-03-01

字       数:18.6万

所属分类: 科技 > 工业技术 > 一般工业技术

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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.<br/>【作者】<br/>赵东花, 博士毕业于中北大学仪器科学与技术学科,研究方向为仿生传感与智能导航。现工作于中北大学"省部共建动态测试技术”国家重实验室,讲师,日本大阪大学电气、电子和信息工程司访问学者。主持省部级课题2项,参与国家面上项目、装备重大基础研究课题、军委科技委 173 基金、军委科技委基础加强子课题等国家/省部级项目5项。以第一作者/唯一通信作者发表高水平 SCI 论文7篇,以第一发明人授权国家发明专利3项,独立编写国家级规划教材《传感器原理与应用》(第四版)一章。<br/>
目录展开

Introduction

PREFACE

Chapter 1 Introduction

1.1 Development Background and Research Significance

1.2 Bioinspired polarization orientation method

1.3 Orientation error processing method for bioinspired polarization compass

1.4 Combined orientation system and method for bioinspired polarizaition compass/inertial navigation

Chapter 2 Orientation Method and System for Atmospheric Polarization Pattern

2.1 Orientation method for atmospheric polarization pattern

2.2 Design and integration for bioinspired polarization compass based on FPGA

2.3 Verification of Bioinspired Polarization compass orientation test

2.4 Chapter Summary

Chapter 3 Processing technology for Bioinspired polarization compass noise

3.1 Noise analysis for bioinspired polarization compass

3.2 Image denoising technology based on multi-scale transformation for bioinspired Polarization compass

3.3 Heading data denoising technology based on multi-scale transformation for bioinspired polarization compass

3.4 Verification of heading data denoising based on multi-scale transformation for bioinspired polarization compass

3.5 Chapter Summary

Chapter 4 Orientation error modeling and compensation technology for Bioinspired polarization compass

4.1 Polarization orientation error analysis and model

4.2 Typical neural network models

4.3 Modeling and compensation of orientation error based on GRU deep learning neural network for bioinspired polarization compass

4.4 Experimental verification of orientation error model based on GRU deep learning neural network for bioinspired polarization compass

4.5 Chapter summary

Chapter 5 Seamless combined orientation method and system for bioinspired polarization compass/inertial navigation

5.1 Seamless combined orientation system for bioinspired polarization compass/inertial navigation

5.2 Seamless combination orientation model construction for bioinspired polarization compass/inertial navigation

5.3 Seamless combined orientation method based on self-learning multi-frequency residual correction for bioinspired polarization compass/inertial navigation

5.4 Experimental verification of the seamless combined orientation method for bioinspired polarization compass/inertial navigation

5.5 Chapter summary

Chapter 6 Summary and prospect

6.1 Summary of intelligent information processing technology for bioinspired polarization compass

6.2 Research outlook

References

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