用latex軟件撰寫科技議論文模板_第1頁
用latex軟件撰寫科技議論文模板_第2頁
用latex軟件撰寫科技議論文模板_第3頁
全文預覽已結束

下載本文檔

版權說明:本文檔由用戶提供并上傳,收益歸屬內(nèi)容提供方,若內(nèi)容存在侵權,請進行舉報或認領

文檔簡介

1、Latex 實用例子通過實驗本例子可以基本掌握科技排版的方法:documentclasstwocolumnarticleusepackageamsmathrenewcommandrmdefaultptmbegindocumenttitlePhysical Model Order ReductionauthorQiang Wang and Guo-Hua Li Department of Electronic Engineering, the East University of China dateDecember 17, 2009maketitlebeginabstractThis pape

2、r presents a novelapproach for model order reduction for multilayer lossy RF embedded passives.endabstractsectionIntroductionAs the Radiofrequency modules having been designed more compact than ever before, the parasitic effects due to the tightly coupled inter-connections on the circuit layout are

3、inevitable. Therefore, an efficient method that can derive a circuit model of such circuit layout is highly desirable. A few techniques such as PEEC were developed to extract equivalent circuits from an electromagnetic model.Classic PEEC solver converts the layout into lumped RLC interconnection net

4、works, including mutual couplings. Once a circuit model is generated, any circuit solver, such as SPICE, can manage the rest of the job. Unfortunately, the numbers of nodes and elements in the circuits are excessive. Therefore, researchers have been searching for an effective measure that can reduce

5、 the model order for accelerating the analysis of the circuit model. Although exploited Krylov subspace methods and provided ways to speed up the simulation; they all lack the physical insight. In fact, they are mathematics-based MOR. Several realizable model order reduction approaches are also prop

6、osed. However, can only handle RC networks. Besides, they both concern with matching the first two or three moments of the system via Taylor's expansion. Thus, these methods can not provide a clear physical explanation to the reduced circuit either. It is worth mentioning that has showed some in

7、sight for dealing with coupled inductances, even though the complexity of the scheme itself might have already limited its practical use. The work presented in this paper is an extension to, in which a derived physically realizable lossless expressive circuit model reduction method is introduced. In

8、 this paper, a lossy model is the major concern. The passivity of the resultant circuit model by the new reduction scheme is guaranteed.sectionTheoryThe circuit model generated by traditional quasi-static PEEC model for a multi-layer circuit layout with very thin conducting strips can easily incorpo

9、rate the conducting loss, which is a major origin of the circuit loss.Since the meshes used in solving MPIE (Mixed Potential Integrated Equations of the PEEC algorithm are all in regular shapes, thus we could first evaluate their losses piecewisely and then superimpose this pre-calculated loss model

10、 to the generated circuit model to represent the conductor loss of the circuit. Therefore reasonable and time-saving approaches to calculate the loss for different meshing geometries are investigated.Since the conductor loss is generally determined by the skin depth effect at RF frequency, a coarse

11、but rapid approximation to this type of loss is to find out the skin depth and other shape factors of the mesh. Then the equivalent surface impedance can be easily calculated by $R_L = l / 2delta S$, where $l$ is the mesh length, along which the current flows, $S$ is the area of the equivalent cross

12、ing section where the current goes through, $delta$ is the skin depth:beginaligndelta=frac1sqrtsmashbpi f mu sigma, labelEqu1endalignin which $f$ is the frequency, $mu$ is the magnetic permeability, and $sigma$ is the conductivity of the metal. In addition to this, various other empirical formulas, such as those in could also be used to determine the conducting loss.Capacitor's loss is mainly due to bypassing leak-age current.Considering the basic relationship be-tween the current and the charge stored in the capacitor, its loss contribution could be computed by $G_C = sigma C / vare

溫馨提示

  • 1. 本站所有資源如無特殊說明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請下載最新的WinRAR軟件解壓。
  • 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請聯(lián)系上傳者。文件的所有權益歸上傳用戶所有。
  • 3. 本站RAR壓縮包中若帶圖紙,網(wǎng)頁內(nèi)容里面會有圖紙預覽,若沒有圖紙預覽就沒有圖紙。
  • 4. 未經(jīng)權益所有人同意不得將文件中的內(nèi)容挪作商業(yè)或盈利用途。
  • 5. 人人文庫網(wǎng)僅提供信息存儲空間,僅對用戶上傳內(nèi)容的表現(xiàn)方式做保護處理,對用戶上傳分享的文檔內(nèi)容本身不做任何修改或編輯,并不能對任何下載內(nèi)容負責。
  • 6. 下載文件中如有侵權或不適當內(nèi)容,請與我們聯(lián)系,我們立即糾正。
  • 7. 本站不保證下載資源的準確性、安全性和完整性, 同時也不承擔用戶因使用這些下載資源對自己和他人造成任何形式的傷害或損失。

評論

0/150

提交評論