IP Library Granted Patent US 6,938,224
Granted Patent B2
US 6,938,224 · App. 10/079,447 · Granted Aug 30, 2005

Method for modeling noise emitted by digital circuits

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Quick Facts
Patent No.
US 6,938,224
App. No.
10/079,447
Granted
Aug 30, 2005
Kind
B2
Abstract

A method of predicting the electromagnetic noise emitted by a digital circuit on an integrated circuit is disclosed. In accordance with the illustrative embodiment, the output of each digital circuit element in the digital circuit is considered as a bit stream. All of these bits streams are, in aggregate, considered as a noise source that is characterized by a power spectral density, S(ω). The effect of the noise source on an analog circuit can be modeled as a lumped circuit, wherein the lumped circuit contains a noise source that represents the digital circuit; a multi-port network, also referred to as a lumped element, that represents that portion of the substrate between the digital circuit and the analog circuit; and a multi-port network that represents the analog circuit.

Claims (46)

1. A method of evaluating the performance of a hybrid analog-digital integrated circuit having an analog unit, a digital unit, and a substrate on which the units are located, comprising:

identifying a broadband power source that represents noise characteristics of the digital unit; and

simulating performance of the integrated circuit by evaluating performance of a lumped circuit in which the source couples to a lumped element representing the substrate and the substrate couples to a lumped element representing the analog unit.

2. The method of claim 1 , wherein the identifying includes evaluating one or more characteristics of the power source based on a behavioral simulation model for the digital unit.

3. The method of claim 1 , further comprising:

repeating the identifying and simulating for another digital unit; and

selecting one of the two digital units based on the simulating showing that the integrated circuit has a better performance with the one of the units.

4. The method of claim 1 , further comprising:

repeating the simulating for a lumped element representing another substrate; and

selecting a better one of the two substrates based on the performances determined by the acts of simulating.

5. A program storage medium encoding a computer executable program of instructions for evaluating the performance of a hybrid analog-digital integrated circuit having an analog unit, a digital unit, and a substrate on which the units are located, the instructions to cause the computer to:

identify a broadband power source that represents noise characteristics of the digital unit; and

simulate performance of the integrated circuit by evaluating performance of a lumped circuit in which the source couples to a lumped element representing the substrate and the substrate couples to a lumped element representing the analog unit.

6. The medium of claim 5 , wherein the instruction to identify evaluates one or more characteristics of the power source based on a behavioral simulation model for the digital unit.

7. The medium of claim 5 , wherein the instructions further cause the computer to:

repeat the identifying and simulating for another digital unit; and

select one of the two digital units based on the simulating showing that the integrated circuit has a better performance with the one of the units.

8. The medium of claim 5 , wherein the instructions further cause the computer to:

repeat the simulating for a lumped element representing another substrate; and

select a better one of the two substrates based on the performances determined by the acts of simulating.

9. A method comprising:

identifying a candidate integrated circuit that comprises a candidate digital circuit;

determining a power coefficient, S 0 , of said candidate digital circuit;

predicting a power spectral density, S(ω), of said candidate digital circuit based on said power coefficient, S 0 , of said candidate digital circuit; and

fabricating said candidate integrated circuit when said power spectral density, S(ω), of said candidate digital circuit achieves a design goal for said candidate integrated circuit.

10. The method of claim 9 further comprising determining a mean bit rate, {overscore (ν)}, of said candidate digital circuit, wherein said power spectral density, S(ω), of said candidate digital circuit is based on said power coefficient, S 0 , and on said mean bit rate, {overscore (ν)}.

11. The method of claim 9 wherein said candidate integrated circuit further comprises a candidate analog circuit.

12. The method of claim 11 further comprising evaluating a lumped circuit in which a noise source based on S(ω) is coupled to a multi-port network that represents a candidate substrate which is coupled to a multi-port network that represents said candidate analog circuit.

13. The method of claim 9 wherein said candidate integrated circuit comprises a plurality of candidate digital circuits.

14. The method of claim 9 wherein said power coefficient, S 0 , is based on the number of switching devices composing said candidate digital circuit.

15. The method of claim 9 wherein said power coefficient, S 0 , is based on the clock rate of said candidate digital circuit.

16. The method of claim 9 wherein said power coefficient, S 0 , is based on a plurality of voltage levels of said candidate digital circuit.

17. The method of claim 9 wherein said power coefficient, S 0 , is based on an activity factor of said candidate digital circuit.

18. A method comprising:

identifying a candidate integrated circuit that comprises a candidate digital circuit;

determining a mean bit rate, {overscore (ν)}, of said candidate digital circuit;

predicting a power spectral density, S(ω), of said candidate digital circuit based on said mean bit rate, {overscore (ν)}, of said candidate digital circuit; and

fabricating said candidate integrated circuit when said power spectral density, S(ω), of said candidate digital circuit achieves a design goal for said candidate integrated circuit.

19. The method of claim 18 further comprising determining a power coefficient, S 0 , of said candidate digital circuit, wherein said power spectral density, S(ω), of said candidate digital circuit is based on said power coefficient, S 0 , and on said mean bit rate, {overscore (ν)}.

20. The method of claim 18 wherein said candidate integrated circuit further comprises a candidate analog circuit.

21. The method of claim 20 further comprising evaluating a lumped circuit in which a noise source based on S(ω) is coupled to a multi-port network that represents a candidate substrate which is coupled to a multi-port network that represents said candidate analog circuit.

22. The method of claim 18 wherein said candidate integrated circuit comprises a plurality of candidate digital circuits.

23. The method of claim 18 wherein said mean bit rate, {overscore (ν)}, is based on the number of switching devices composing said candidate digital circuit.

24. The method of claim 18 wherein said mean bit rate, {overscore (ν)}, is based on the clock rate of said candidate digital circuit.

25. The method of claim 18 , wherein said mean bit rate, {overscore (ν)}, is based on a plurality of voltage levels of said candidate digital circuit.

26. The method of claim 18 wherein said mean bit rate, {overscore (ν)}, is based on an activity factor of said candidate digital circuit.

Assignments (4)
SECURITY INTEREST Recorded Jun 1, 2021
From: WSOU INVESTMENTS, LLC
To: OT WSOU TERRIER HOLDINGS, LLC
Reel/Frame 056990/0081 →
RELEASE OF SECURITY INTEREST Recorded May 21, 2019
From: OCO OPPORTUNITIES MASTER FUND, L.P. (F/K/A OMEGA CREDIT OPPORTUNITIES MASTER FUND LP
To: WSOU INVESTMENTS, LLC
Reel/Frame 049246/0405 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 25, 2017
From: ALCATEL LUCENT
To: WSOU INVESTMENTS, LLC
Reel/Frame 044000/0053 →
SECURITY INTEREST Recorded Sep 21, 2017
From: WSOU INVESTMENTS, LLC
To: OMEGA CREDIT OPPORTUNITIES MASTER FUND, LP
Reel/Frame 043966/0574 →