TY - JOUR
T1 - Noise isolation in mixed-signal systems using alternating impedance electromagnetic bandgap (AI-EBG) structure-based power distribution network (PDN)
AU - Choi, Jinwoo
AU - Govind, Vinu
AU - Swaminathan, Madhavan
AU - Bharath, Krishna
N1 - Funding Information:
Manuscript received April 14, 2008; revised April 10, 2009. First published November 20, 2009; current version published February 26, 2010. This work was supported in part by Semiconductor Research Corporation (SRC) under Georgia Tech ID E21-6MW, in part by the National Science Foundation under Georgia Tech ID E21-N33, and in part by Yamacraw, a state funded initiative in the State of Georgia. This work was recommended for publication by Associate Editor M. Cases upon evaluation of the reviewers comments.
PY - 2010/2
Y1 - 2010/2
N2 - This paper presents efficient noise isolation and suppression method in mixed-signal systems using alternating impedance electromagnetic bandgap (AI-EBG) structure-based power distribution network (PDN). Currently, split planes are used for isolation in mixed-signal systems for isolating sensitive RF/analog circuits from noisy digital circuits. However, split planes show good isolation only at low frequencies due to electromagnetic coupling through the gap. The AI-EBG structure-based PDN presented in this paper provides excellent isolation (- 80 dB ∼ - 100 dB ) in the frequency range of interest by suppressing almost all possible electromagnetic modes. The AI-EBG structure has been integrated into a mixed-signal test vehicle to demonstrate the isolation level achievable. The ability of the AI-EBG structure to suppress switching noise has been quantified in this paper. The AI-EBG structure provided greater than 100 dB of isolation in passive (S)-parameter measurement and suppressed in-band noise down to - 88 dBm of isolation in a functional test.
AB - This paper presents efficient noise isolation and suppression method in mixed-signal systems using alternating impedance electromagnetic bandgap (AI-EBG) structure-based power distribution network (PDN). Currently, split planes are used for isolation in mixed-signal systems for isolating sensitive RF/analog circuits from noisy digital circuits. However, split planes show good isolation only at low frequencies due to electromagnetic coupling through the gap. The AI-EBG structure-based PDN presented in this paper provides excellent isolation (- 80 dB ∼ - 100 dB ) in the frequency range of interest by suppressing almost all possible electromagnetic modes. The AI-EBG structure has been integrated into a mixed-signal test vehicle to demonstrate the isolation level achievable. The ability of the AI-EBG structure to suppress switching noise has been quantified in this paper. The AI-EBG structure provided greater than 100 dB of isolation in passive (S)-parameter measurement and suppressed in-band noise down to - 88 dBm of isolation in a functional test.
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U2 - 10.1109/TADVP.2009.2033705
DO - 10.1109/TADVP.2009.2033705
M3 - Article
AN - SCOPUS:77949275167
SN - 1521-3323
VL - 33
SP - 2
EP - 12
JO - IEEE Transactions on Advanced Packaging
JF - IEEE Transactions on Advanced Packaging
IS - 1
M1 - 5339105
ER -