慣性基偏振羅盤定向信息處理技術趙東花 9787121474071 【台灣高等教育出版社】

Name: 慣性基偏振羅盤定向信息處理技術 趙東花 9787121474071 【台灣高等教育出版社】
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原出版社：電子工業

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書名：慣性基偏振羅盤定向信息處理技術
ISBN：9787121474071
出版社：電子工業
著編譯者：趙東花
頁數：208
所在地：中國大陸 *此為代購商品
書號：1630102
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內容簡介

本書系統而全面地闡述了仿生偏振光羅盤智能信息處理技術，總結了多年來在仿生偏振光羅盤信息處理方面的技術積累，並在書中進行詳細闡述。主要包括：仿生偏振光羅盤雜訊處理方法如偏振角圖像和航向角數據雜訊分析與處理、仿生偏振光羅盤定向誤差建模補償、基於仿生偏振光羅盤的無縫組合定向方法等，還詳細介紹了基於大氣偏振模式的航向角測量方法等相關內容。本書所有智能信息處理技術均配有試驗驗證，可作為導航制導與控制、儀器儀錶、測繪工程及相關專業的本科生、研究生的參考書，也可供從事導航相關專業的科研和工程人員參考閱讀。

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 1 1 Analysis and automatic identification of neutral point characteristics of atmospheric polarization pattern
2 1 2 Orientation algorithm based on solar meridian for imaging bioinspired polarization compass
2 2 Design and integration for bioinspired polarization compass based on FPGA
2 3 Verification of Bioinspired Polarization compass orientation test
2 3 1 Static orientation test
2 3 2 Turntable dynamic orientation test
2 3 3 UAV airborne dynamic orientation test
2 4 Chapter Summary
Chapter 3 Processing technology for Bioinspired polarization compass noise
3 1 Noise analysis for bioinspired polarization compass
3 1 1 Analysis of the generation mechanism and characteristics for polarization angle image noise
3 1 2 Analysis of the generation mechanism and characteristics for heading angle data noise
3 2 Image denoising technology based on multi-scale transformation for bioinspired Polarization compass
3 2 1 Denoising technology for polarization angle image based on multi-scale transformation
3 2 2 MS-PCA Image Denoising Technology based on BEMD for Bioinspired Polarization Compass
3 2 3 Verification of MS-PCA polarization angle image denoising method based on BEMD
3 3 Heading data denoising technology based on multi-scale transformation for bioinspired polarization compass
3 3 1 Heading data denoising technology based on multi-scale transformation
3 3 2 MS-TFPF heading data denoising technology based on EEMD 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 1 1 Analysis of polarization orientation error
4 1 2 Model Construction for polarization orientation error
4 2 Typical neural network models
4 2 1 Recurrent Neural Networks (RNNs)
4 2 2 Long Short-Term Memory Neural Networks (LSTMs)
4 2 3 Gated Recurrent Unit Neural Networks (GRUs)
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/inertialnavigation
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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