TY - GEN
T1 - Noise reduction and design methodology in mixed-signal systems with alternating impedance electromagnetic bandgap (AI-EBG) structure
AU - Choi, Jinwoo
AU - Govind, Vinu
AU - Mandrekar, Rohan
AU - Janagama, Sunanda
AU - Swaminathan, Madhavan
PY - 2005
Y1 - 2005
N2 - This paper presents noise suppression and design methodology in mixed-signal systems with alternating impedance electromagnetic bandgap (AI-EBG) structure. The AI-EBG structure was developed recently and applied for noise isolation/suppression in mixed-signal systems. In this paper, the mixed-signal systems with and without the AI-EBG structure were designed and fabricated to see noise reduction effect due to AI-EBG structure. This AI-EBG structure showed excellent noise suppression in mixed-signal systems by suppressing all harmonic noise peaks due to digital circuits in a stopband range of -100 dB isolation (S21 evel. However, without carefully designing mixed-signal system with the AI-EBG structure, the use of the AI-EBG structure could cause problems associated with signal integrity as well as electromagnetic interference (EMI). In this paper, excellent noise suppression with AI-EBG structure is shown and design methodology in mixed-signal systems with AI-EBG structure is proposed to avoid possible problems associated with signal integrity as well as EMI.
AB - This paper presents noise suppression and design methodology in mixed-signal systems with alternating impedance electromagnetic bandgap (AI-EBG) structure. The AI-EBG structure was developed recently and applied for noise isolation/suppression in mixed-signal systems. In this paper, the mixed-signal systems with and without the AI-EBG structure were designed and fabricated to see noise reduction effect due to AI-EBG structure. This AI-EBG structure showed excellent noise suppression in mixed-signal systems by suppressing all harmonic noise peaks due to digital circuits in a stopband range of -100 dB isolation (S21 evel. However, without carefully designing mixed-signal system with the AI-EBG structure, the use of the AI-EBG structure could cause problems associated with signal integrity as well as electromagnetic interference (EMI). In this paper, excellent noise suppression with AI-EBG structure is shown and design methodology in mixed-signal systems with AI-EBG structure is proposed to avoid possible problems associated with signal integrity as well as EMI.
UR - https://www.scopus.com/pages/publications/33646189601
UR - https://www.scopus.com/pages/publications/33646189601#tab=citedBy
U2 - 10.1109/MWSYM.2005.1516751
DO - 10.1109/MWSYM.2005.1516751
M3 - Conference contribution
AN - SCOPUS:33646189601
SN - 0780388461
SN - 9780780388468
T3 - IEEE MTT-S International Microwave Symposium Digest
SP - 849
EP - 852
BT - 2005 IEEE MTT-S International Microwave Symposium Digest
T2 - 2005 IEEE MTT-S International Microwave Symposium
Y2 - 12 June 2005 through 17 June 2005
ER -