Switching Noise Suppression in Mixed Signal System Applications Using Electromagnetic Band Gap (EBG) Synthesizer

2006 ◽  
Author(s):  
Tae Kim ◽  
Ege Engin ◽  
Madhavan Swaminathan
Keyword(s):  
Band Gap ◽  
Noise Suppression ◽  
Signal System ◽  
Switching Noise ◽  
Electromagnetic Band Gap ◽  
Mixed Signal

Novel electromagnetic bandgap structure to mitigate simultaneous switching noise for mixed-signal system applications

2016 ◽  
Vol 9 (2) ◽  
pp. 299-306
Author(s):  
Vasudevan Karuppiah ◽  
Raju Srinivasan
Keyword(s):  
Dielectric Substrate ◽  
Wide Frequency Range ◽  
Signal System ◽  
Switching Noise ◽  
Frequency Range ◽  
Electromagnetic Bandgap ◽  
Mixed Signal ◽  
High Impedance ◽  
Simultaneous Switching Noise ◽  
Simultaneous Switching

This paper proposes a novel T-shape electromagnetic bandgap (EBG) structure to suppress simultaneous switching noise (SSN) in mixed-signal systems. Noise is generated due to simultaneous switching multiple drivers in the digital ICs. It is called as SSN. It could propagate between power and ground planes of underlying PCB platform and interfere with the functionality of nearby RF/Analog ICs. So, the RF modules are isolated from the digital module for proper functioning of entire mixed-signal system. A high-impedance surface, called T-shape EBG has been implemented between digital and RF modules. It will exhibit the characteristics of bandgap for a wide frequency range to suppress the propagation of switching noise. A single unit-cell of T-EBG is periodically patterned over one side of the PCB and the other side is kept continuous. In this paper different characteristics of T-EBG have been simulated and verified with the measurement results. A 3 × 3 T-EBG layout provides an isolation of −40 dB from 0.72 to 6.39 GHz. A scaled version of T-EBG is used to shift the bandgap towards higher frequency range from 2.22 to 7.19 GHz. Also, a novel layout methodology has been proposed to broaden the bandgap from 2.02 to 18.84 GHz without reducing the thickness of dielectric substrate.

Electromagnetic Band Gap Synthesis Using Genetic Algorithms for Mixed Signal Applications

2009 ◽  
Vol 32 (1) ◽  
pp. 13-25 ◽  
Author(s):  
Tae Hong Kim ◽  
Madhavan Swaminathan ◽  
Arif Ege Engin ◽  
Bernie Jord Yang
Keyword(s):  
Genetic Algorithms ◽  
Band Gap ◽  
Electromagnetic Band Gap ◽  
Mixed Signal
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