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研究生:江東霖
研究生(外文):Tung-Lin Chiang
論文名稱:2.4GHz ISM頻帶干擾環境中之數位無線麥克風設計
論文名稱(外文):Digital Wireless Microphones Design in 2.4GHz ISM Band Interference Environment
指導教授:翁芳標翁芳標引用關係
口試委員:鄭立德王忠炫
口試日期:2017-07-26
學位類別:碩士
校院名稱:國立中興大學
系所名稱:通訊工程研究所
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:2017
畢業學年度:105
語文別:中文
論文頁數:47
中文關鍵詞:自適應性差分式脈衝編碼調變卷積碼跳頻差分式脈衝編碼調變脈衝編碼調變數位無線麥克風
外文關鍵詞:Adaptive Differential Pulse Modulation (ADPCM)convolution codefrequency-hoppingDifferential Pulse Modulation (DPCM)Pulse Modulation(PCM)digital wireless microphone
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無線麥克風在現今社會中扮演著很重要的角色,他被廣泛用在各大公共場所,要讓無線麥克風良好的運作,需要考量到很多點,像是頻寬的限制、干擾的問題、延遲的時間等,都是我們必須克服的。
在本論文中,我們設計出一個數位無線麥克風系統,其傳輸的環境是假設在ISM頻段(工業的Indudtrial、科學的Scirntific、醫學的Medical)的2.4Ghz到2.485G之間,因為此頻段為免付費的頻段所以在有限的頻寬下,音訊的壓縮、干擾的消除及避開干擾的方式都是本論文的重點,壓縮方面,我們利用自適應性差分式脈衝編碼調變(Adaptive Differential Pulse Modulation,ADPCM)從輸入訊號的16位元壓縮到4、6、8位元,因為不同的位元,會影響到壓縮比的呈現,也會影響到錯誤率的高低,所以我們會做比較並找出最適合的壓縮結果,接下來我們會調整量化階表,使用不同的量化階間距找出最適合此方法的結果,最後我們假設跳頻來做到避開干擾,再利用卷積碼(convolution code)來消除剩下的干擾,使錯誤率降到最低。模擬結果顯示,利用自適應性差分式脈衝編碼調變(ADPCM)並且調整量化階大小並且跳頻再加上卷積碼(convolution code)我們可以設計出一個數位無線麥克風系統同時達到好的壓縮比以及消除干擾。
Wireless microphones are playing an important part in modern society. They are used worldwide by professionals and amateurs for such applications as live performances,
electronic news gathering, and conference presentations. In order to keep wireless microphones operating well, it is necessary to give engineers, researchers, and regulators a comprehensive overview of wireless microphones in the aspects of technologies, spectrum requirements, and interference that may be experienced or generated by wireless microphones.
In this paper, we design a digital wireless microphone system. Including audio compressing, interference resisting and avoiding. Using Adaptive Differential Pulse Modulation (ADPCM) to compress the input signal from 16bits to 4 bits, 6 bits, 8 bits. Adjust the step-size table to reach the better performance. Using different step size to find the better performance. Assuming frequency-hopping and one of the section with interference. To resist the interference, we use convolution code to reduce the error rate. Simulation results demonstrate that by adjusting step-size table and changing the compression ratio, we can find the best performance of these methods.
目錄
第一章 序論 1
1.1 研究動機與目的 1
1.2 無線麥克風環境介紹 1
第二章 數位無線麥克風系統介紹 3
2.1 音訊取樣 3
2.1.1 類比訊號與數位訊號 3
2.1.2 Nyquist取樣定理 4
2.1.3 量化基本概念 4
2.1.4 均勻量化 5
2.1.5 非均勻量化 5
2.1.6 自適應量化 6
2.1.7 PCM 介紹 6
2.1.8 DPCM 7
2.2音訊壓縮 8
2.2.1 語音訊號壓縮的基本原理 9
2.2.2 壓縮比計算 10
2.3通道編碼 10
2.3.1卷積碼 11
2.4 數位調變 13
2.5 DISTN 13
第三章 數位無線麥克風設計 14
3.1 ADPCM系統 14
3.2 步長索引表及步長調整表 17
3.3編碼方式 24
3.4干擾問題 26
3.4.1 卷積碼 26
3.4.2 跳頻 27
第四章 模擬結果 28
第五章 結論 45
參考文獻 46
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[2] N. Azmi, L.M. Kamarudin, M. Mahmuddin , A. Zakaria , A.Y.M. Shakaff , S. Khatun, K. Kamarudin,M.N.Morshed," Interference Issues and Mitigation Method in WSN 2.4GHz ISM Band: A Survey,"2014 2nd International Conference on Electronic Design(ICED),August 19-21,2014,Penang,Malaysia.
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[8] Bogdan Cristea, " VITERBI ALGORITHM FOR ITERATIVE DECODING OF PARALLEL CONCATENATED CONVOLUTIONAL CODES," IEEE 18th European Signal Processing Conference (EUSIPCO-2010) ,Aalborg, Denmark, August 23-27, 2010

[9] Pal Frenger, Pal Orten, and Tony Ottosson, "Convolutional Codes with Optimum Distance Spectrum" IEEE COMMUNICATIONS LETTERS, VOL. 3, NO. 11,pp317-319,NOVEMBER 1999
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