| 研究生: |
沈易律 Shen, Yi-Lyu |
|---|---|
| 論文名稱: |
高效率三角積分調變器與簡化資料加權平均演算法之設計 Design of a High-Efficient Delta-Sigma Modulator and Simplified Data Weighted Averaging Algorithm |
| 指導教授: |
劉濱達
Liu, Bin-Da |
| 學位類別: |
碩士 Master |
| 系所名稱: |
電機資訊學院 - 電機工程學系 Department of Electrical Engineering |
| 論文出版年: | 2012 |
| 畢業學年度: | 100 |
| 語文別: | 英文 |
| 論文頁數: | 127 |
| 中文關鍵詞: | 三角積分調變器 、電荷幫浦式架構 、雜訊耦合技術 、低失真架構 |
| 外文關鍵詞: | Delta-sigma modulator, Charge-pump based, Noise-coupling, Low-distortion |
| 相關次數: | 點閱:94 下載:6 |
| 分享至: |
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本論文提出一個創新之三角積分調變器架構與一種簡化資料加權平均演算法。此創新三角積分調變器使用電荷幫浦式三階低失真的架構設計,且加入雜訊耦合與放寬回授路徑時間之技術,以達到高解析度與低功率消耗之特色。在電路實現方面,此調變器內部之積分器使用共享運算放大器技術來更進一步地降低其功率消耗。另外一方面,本論文亦提出一種基於合併電容切換技術之數位類比轉換器的簡化資料加權平均演算法,相較於傳統資料加權平均演算法,此新式演算法可改善三角積分調變器之線性度與降低其電路實現之成本,並且達到低功率消耗之目的。此創新之三階四位元低失真三角積分調變器使用90 nm一層多晶矽九層金屬導線CMOS製程實現。模擬結果顯示,在80 MHz的取樣頻率與超取樣率為16倍的設定下,噪訊比最高可達到79.04 dB且其整體功率消耗僅為1.8 mW,經換算此電路之功率轉換效率為0.05 pJ/conversion,明顯優於目前已發表文獻之結果。
In this thesis, a proposed delta-sigma modulator and a simplified data weighted averaging algorithm are presented. The proposed delta-sigma modulator is designed in charge-pump based 3rd-order low-distortion topology with noise-coupling and relaxed feedback timing techniques to achieve high-resolution and low-power dissipation feature. In circuit implementation, the OPAMP-sharing technique is employed in the integrators to further reduce the power consumption. In addition, a simplified data weighted averaging (SDWA) algorithm based on merged-capacitor switching DAC is also presented in this thesis. Compared to the conventional DWA algorithm, the proposed SDWA algorithm improves the linearity of the modulator and reduces the cost of the SDWA circuit while maintaining the low-power consumption feature. This 3rd-order 4-bit low-distortion delta-sigma modulator is implemented by 90-nm 1P9M CMOS process. The simulation results show that the peak SNDR is 79.04 dB with sampling frequency of 80 MHz and oversampling ratio (OSR) of 16. The power dissipation is only 1.8 mW and the Figure-of-Merit is 0.05 pJ/conversion, which is much better than other published works.
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