適用於類比電路區塊之解析式行為模型產生器及數位化建模技術

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姓名

林慶和(Ching-Ho Lin) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

適用於類比電路區塊之解析式行為模型產生器及數位化建模技術
(Analytical Behavioral Model Generator for Analog Circuit Blocks with Digitalized Modeling Technique)

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摘要(中)

建立每個電路的行為模型是一種驗證混合信號系統層級的有效方法，如果能發展一個自動行為產生器，可以從電路規格或連線關係自動產生此模塊所需的行為模型，就能有效地協助設計者減少額外工作時間。因此，本論文中提出一個自動化的方法來建立所需的行為模型，以加快混合信號系統的驗證。
對於一些常用的電路模塊，我們採用專用行為模型產生器，直接從給定的電路規格產生相對應的行為模型。對於其他的電路塊則採用分而治之的辦法，從給定的電路中萃取所需的行為模型。在本論文提出的方法中，我們並不會直接模擬電路的輸入和輸出之間的關係，而是將大電路模塊劃分成幾個小的模塊，可以大大的降低不同的電路的模型建設時間，卻又不失一般性。如實驗結果所示，所提出的自動模型產生器確實可以自動生成對應的行為模型，並具備相當良好的精確度。

摘要(英)

Building the behavioral model for each circuit is an efficient approach for mixed-signal system verification. If an automatic model generator is available to generate the required behavioral model from the given circuit specifications or netlist, it is useful for designers to reduce the extra efforts. In this paper, a automation methodologies are proposed to build the behavioral models for speeding up mixed-signal system verification.
For some popular circuit blocks, dedicated behavioral model generators are developed to obtain the corresponding models directly from the given specifications. For generic circuit blocks, a divide and conquer approach is proposed to extract the required behavioral models from the given circuit netlist. Instead of modeling the relationship between circuit inputs and outputs directly, dividing the circuit into several small building blocks can greatly reduce the model construction efforts without losing the generality for different circuits. As shown in the experimental results, the proposed model generation environment does generate the corresponding behavioral models automatically with good accuracy.

關鍵字(中)

★ 類比電路
★ 行為模型產生器
★ 建模技術

關鍵字(英)

★ analog circuit
★ behavioral model generator
★ modeling

論文目次

摘要 i
Abstract ii
致謝 iii
目錄 iv
圖目錄 vi
表目錄 x
第一章、緒論 1
1- 1 研究動機 1
1- 2 行為模型(Behavioral Modeling) 4
1- 3 論文結構 7
第二章、背景知識 9
2- 1 宏模型簡介(Macro-modeling) 9
2- 2 符號函式方法(Symbolic Approach) 11
2- 3 黑盒子方法(Black-Boxed Approach) 13
2- 4 迴歸分析(Regression Analysis) 17
2-4-1片段線性估算法(Piecewise Approximation Methods) 18
2- 5 相關研究(Related Works) 20
2- 6 問題定義(Problem Formulation) 25
第三章、行為模型產生器 26
3- 1 行為模型產生器流程 26
3- 2 由上至下的篩網式架構分析 27
3-2-1子電路層級辨識(Sub-Circuit level Recognition) 30
3-2-2 DC連線辨識(DC Connect recognition) 31
3-2-3 DC連線之縱向組合分析(Vertical grouping in DC Connect) 33
3-2-4橫向組合類比電路分析(Horizontal Grouping for Analog Circuit) 37
3- 3 定義構件之數位化類比公式 41
3-3-1數位化類比分析(Digitalize Analog Analysis) 41
3-3-2數位化類比行為模型(Digitalize Analog Behavioral Model) 43
第四章、實驗結果與分析 50
4- 1 架構分析結果 50
4- 2 數位化類比行為模型模擬結果 54
第五章、結論與未來目標 60
第六章、參考文獻 61

參考文獻

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指導教授

劉建男(Chien-Nan Jimmy Liu)

審核日期

2016-10-11

推文