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題 名 | 高階統計於水下信號處理之應用=The Applications of Higher-Order Statistics to Underwater Signal Processing |
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作 者 | 羅志正; | 書刊名 | 新新科技年刊 |
卷 期 | 3 2007.01[民96.01] |
頁 次 | 頁302-311 |
分類號 | 448.5 |
關鍵詞 | 高階統計; 干擾消除; 方位估測; 自適性演算法則; Higher-order statistics; Interference canceling; Bearing estimation; Adaptive algorithm; |
語 文 | 中文(Chinese) |
中文摘要 | 本文首先將介紹高階統計之基本學理,然後概述它應用於水下技術領域的主要範疇。接著將深入探討它是如何應用水下信號處理上二個極重要的領域,方位估測(bearing estimation)與干擾消除(interference canceling),而且都是建構於自適性演算法則(adaptive algorithm)之架構上。最後則將此二項新技術與傳統上常用的最小均方差演算法(LMS algorithm)經由性能模擬與演算難易作比較,作為未來應用於水下領域可行性之依據。 |
英文摘要 | In this paper, the fundamental principle of higher-order statistics will be introduced first, and then we will outline its main fields on the underwater techniques. Next, we will study how does it be applied to the most important two topics in the underwater signal processing, bearing estimation and interference canceling, both of which are constructed on the basis of the adaptive algorithm. Finally, the two new techniques will be compared to the conventional LMS algorithm with respect to the performance simulation and computational complexity, which will also be used to prove the its availability for underwater applications accordingly. |
本系統中英文摘要資訊取自各篇刊載內容。