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相關文獻
- Compariosn of Three GPS-Based Attitude Determination Algorithms
- GPS-Based Dynamic Attitude Determination Using Extended Kalman Filter
- GPS-Based Attitude Determination with Kalman Filter Approach
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- Using GPS Carrier Phase in Real Time Kinematic Positioning
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- GPS全球定位系統C/A假隨機碼之研究
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頁籤選單縮合
題 名 | Compariosn of Three GPS-Based Attitude Determination Algorithms=全球定位系統姿態角決定方法之比較與整合 |
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作 者 | 黃國興; 莊智清; | 書刊名 | Journal of the Chinese Institute of Electrical Engineering |
卷 期 | 6:2 1999.05[民88.05] |
頁 次 | 頁157-164 |
分類號 | 440.98 |
關鍵詞 | 全球定位系統; 姿態角決定; 卡爾曼濾波器; GPS; Attitude determination; Kalman filter; |
語 文 | 英文(English) |
中文摘要 | 全球定位系統除了可提供定位功能外,利用多個全球定位系統接收器處理衛星傳 送下來之載波相位訊號,可同時用以推算出使用者載具之姿態。本文比較三種不同之全球定 位系統基線姿態角決定方法,分別為模稜函數、類神經網路與卡爾曼濾波器,並提出一種整 合之架構。此整合法具較高之精度與可靠度。本文同時之採實驗方式驗證所提方法之優點。 |
英文摘要 | In this paper, we conduct a comparative study on three GPS-based attitude determination algorithms. Our goal is to assess the advantages and limitations of several existing GPS-based attitude determine algorithms and develop an integrated method to explore the potential synergistic effect. The methods under investigation include ambiguity function, neural network, and Kalman filter approaches. These methods are compared in terms of modeling complexity, computational requirement, convergence rate, and real time implementation. An integrated method is then proposed to achieve the combined benefits of each method. |
本系統中英文摘要資訊取自各篇刊載內容。