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研究生: 蔡炳欣
Tsai, Ping-Hsin
論文名稱: 基於取樣間隔感知神經網路之飛行高度修正方法
An Aircraft Altitude Correction Method Based on a Sampling Interval-Aware GRU Network
指導教授: 賴盈誌
Lai, Ying-Chih
學位類別: 碩士
Master
系所名稱: 工學院 - 航空太空工程學系
Department of Aeronautics & Astronautics
論文出版年: 2025
畢業學年度: 113
語文別: 中文
論文頁數: 70
中文關鍵詞: 飛機高度估算取樣間隔感知 閘控循環單元感測器資料融合慣性導航系統
外文關鍵詞: Aircraft Altitude Estimation, Sampling Interval-Aware, Gated Recurrent Unit, Sensor Fusion, Inertial Navigation System
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  • 摘要 II Extended Abstract IV 致謝 X 目錄 XI 表目錄 XIII 圖目錄 XIV 參數表 XVI 第1章 緒論 1 1.1 研究背景 1 1.2 GNSS訊號中斷的位置修正方法 5 1.3 文獻回顧 7 1.4 研究動機與目的 8 1.5 論文架構 9 第2章 研究方法 11 2.1 原始資料收集與選擇 11 2.2 非標準天壓力高度計算 13 2.3 特徵正規化 14 2.4 測試模型建立 16 2.5 損失函數 17 第3章 循環神經網路模型介紹 19 3.1 長短期記憶(LSTM)模型 19 3.2 門控循環單元(GRU)模型 22 3.3 取樣間隔感知-門控循環單元(SIA-GRU)模型 25 第4章 模型驗證與效能評估 29 4.1 性能評估指標 32 4.2 模型參數調整與性能比較 32 4.3 模型泛化能力分析 43 4.4 結果綜整 47 第5章 結論與建議 48 5.1 結論 48 5.2 未來研究方向 49 參考文獻 50

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