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研究生:李明樺
研究生(外文):Ming-Hua Li
論文名稱:主動式噪音控制之反噪音干擾消除
論文名稱(外文):On Active Noise Control systems with Anti-Noise interference reduction
指導教授:翁萬德
指導教授(外文):Wan-De Weng
學位類別:碩士
校院名稱:國立雲林科技大學
系所名稱:通訊工程研究所碩士班
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2010
畢業學年度:98
語文別:中文
論文頁數:74
中文關鍵詞:Variable Step-size主動式噪音控制聲場回饋前饋控制Filter-X LMS
外文關鍵詞:Variable Step-sizeActive Noise ControlAcoustic feedbackFilter-X LMSFeedforward control
相關次數:
  • 被引用被引用:0
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  • 收藏至我的研究室書目清單書目收藏:1
本文研究重點主要在解決ANC(Active Noise Control)系統之中,在消除噪音時,所產生的「聲音回饋」(Acoustic Feedback)問題,其架構是採用M.T. Akhtar所發表的架構,並修改其自適應性演算法,使原本FXLMS(Filter-X LMS)演算法的Step size能調整至最佳數值,我們將此演算法稱為MVS FXLMS(Modified Variable Step-size FXLMS)使系統收斂速度得到進一步的改善,在濾波器階數較低的情況下,還能保有一定程度的改善效果,使得在硬體實現時能做為成本降低的參考。最後,我們以輸入實際噪音來做測試,實驗結果證明此架構能實際運用於真實噪音,並且證明本文MVS FXLMS演算法在此架構也能實際運用於真實噪音之中。
This thesis is focused on the investigation of the acoustic feedback problem that is aroused when an active noise control (ANC) system is trying to eliminate noise. The Filter-X LMS (FXLMS) structure proposed by M.T. Akhtar is modified in such a way that the step size can be adjusted to an optimal value. The improved algorithm, which is named the modified variable step-size FXLMS (MVS FXLMS), has been demonstrated to achieve faster convergence than FXLMS. Moreover, we have found that, even under lower levels of filter design, MVS FXLMS still exhibits some improvement. This feature helps greatly on reducing its hardware cost. Finally, we use a real noise sources to test the feasibility of the system. Simulation results show that the proposed MVS FXLMS algorithm works satisfactorily well.
中文摘要---------------------------------------------------------------------------------------i
英文摘要---------------------------------------------------------------------------------------ii
誌謝---------------------------------------------------------------------------------------------iii
目錄---------------------------------------------------------------------------------------------iv
表目錄------------------------------------------------------------------------------------------v
圖目錄------------------------------------------------------------------------------------------vi
第一章 緒論 ---------------------------------------------------------------------------------1
1.1 前言 ----------------------------------------------------------------------------1
1.2 簡單噪音相關參數解釋 ----------------------------------------------------2
1.3 噪音型態 ----------------------------------------------------------------------3
1.4 噪音來源 ----------------------------------------------------------------------4
1.5 噪音對人體的影響 ----------------------------------------------------------4
1.6 章節提要 ----------------------------------------------------------------------5
第二章 主動式噪音控制原理及架構 ---------------------------------------------------6
2.1 文獻回顧 ----------------------------------------------------------------------6
2.2 主動式噪音控制架構 -------------------------------------------------------7
2.2.1 回授控制架構 (feedback control structure) -----------------------7
2.2.2 前饋控制架構 (feedforward control structure) -------------------8
2.2.3 複合架構 (hybrid control structure) --------------------------------9
2.3 控制器 -------------------------------------------------------------------------9
2.4 聲場回饋 (Acoustic Feedback) --------------------------------------------14
第三章 論文相關研究 ---------------------------------------------------------------------16
3.1 適應性LMS演算法 --------------------------------------------------------16
3.2 適應性FXLMS演算法 ----------------------------------------------------21
3.3 Modified VS LMS演算法 ------------------------------------------------24
3.4 本文架構 ----------------------------------------------------------------------27
第四章 模擬分析 ---------------------------------------------------------------------------31
4.1 單頻噪音 ----------------------------------------------------------------------32
4.2 複頻噪音 ----------------------------------------------------------------------43
4.3 寬頻噪音 ----------------------------------------------------------------------47
4.4 真實噪音模擬 ----------------------------------------------------------------51
4.5 結論 ----------------------------------------------------------------------------60
第五章 結論與未來研究方向 ------------------------------------------------------------61
參考文獻 --------------------------------------------------------------------------------------62
簡歷 --------------------------------------------------------------------------------------------64
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