Download presentation
Presentation is loading. Please wait.
Published byCatherine Shelton Modified over 9 years ago
1
A Self Consistent Joint Extraction of 0 and RCX for HICUM 6th European Hicum Workshop 12-13 June 05, ATMEL in Heilbronn Zoltan Huszka austriamicrosystems AG
2
Purpose Proposal for a new 0 & RCX extraction Demonstration of the results Lowlights and Highlights
3
Outline Former RCX extraction methods Overview of the existing 0 extraction methods Theory of joint extraction for both parameters Extraction procedure Extraction results Summary
4
A Few Known RCX Extraction Methods Forced beta (Logan_1971) Isub (Berkner_1994) Solution of Parasitic pnp (Paasschens_2001) Special test structures (Schroeter_1991) Modified forced beta (Wu_2004) 2D numerical calculations (Kaufmann_ 2005)
5
Corrected Inverse FT vs. V T /Ic (Schroeter_1991) Refined Inverse FT vs. VT/Ic (Ardouin_2001) Inverse FT vs. 1/gm (Malorny_2002) 3-variate linear regression (Fregonese_2006) 0 Extraction Methods
6
Existing Concept of 0 Extraction 0 is the zero intercept for infinite Ic Key model parameters must be formerly known Correct magnitude of RCX is critical Internal collector time constant is omitted The formula is approximative only
7
A Novel Concept Extract intrinsic FT of block#1 with nonzero rci Apply result to HICUM
8
Block Transformations (1) Unilateralized (UL) two-port parameters: Consequently: With : Dividing :
9
Block Transformations (2) Starting from the outside: RELATION OF RAW AND INTRINSIC UL BETA The intrinsic transistor has a single pole ac beta:
10
Determining RCX RCX can be expressed from the first equation Unknown in numerator will be obtained by regression
11
Determining the Time Constants (1) Canceling RCX yields the regression equation with variables The zero intercept allows for the computation of RCX
12
Determining the Time Constants (2) can be computed by deembedding raw data with the known RCX. The coefficients with the time constants are obtained by regression from Quadratic for and then regression povides 0 gives correct transit time in full bias range
13
Example: main regression The high linearity is confirming the concept
14
Example: Averaging RCX RCX of a short (Le=0.8um) and a long (Le=24um) device
15
Example: RCX from parasitic PNP A perfect fit to measurements
16
Example: RF and DC Comparision Only a part of RCX is in the Isub current path The difference may be particularly critical for HICUM!
17
Example: Time constants (1) Transit time of unilateralized Block#3
18
Example: Time constants (2) Intrinsic and collector time constants from quadratic
19
Example: Extraction of 0 Raw and intrinsic low current transit times
20
Lowlights The method mines data from the full depth of the model: high quality low noise RF data is reqired The quadratic may provide complex roots at higher biases: not critical since a few points are enough for 0 regression
21
Highlights The method is unprecedented as to jointly extract RBX with the intrinsic low-bias time constant No former model parameters are needed Self-consistency is insured by using one single data HICUM preference is met by extracting critical parameters from RF measurements The firm theoretical basis may provide confidence in customers and modeling engineers Correct transit times in full bias range from one single raw s-parameter set!
22
Suggestion to the Model Developers Revive the discussion of the low-bias collector time constant in the model documentation Advise a proper way how to merge the collector time-constant in the present model structure
23
Acknowledgement The author is grateful to for the careful measurement of the samples and designing the setup & codes for a noiseless substrate current acquisition. Dr. Bishwanat Senapati
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.