Stopband prediction with dispersion diagram for electromagnetic bandgap structures in printed circuit boards

Toyota, Yoshitaka; Engin, A. Ege; Kim, Tae Hong; Swaminathan, Madhavan; Uriu, Kazuhide

doi:10.1109/isemc.2006.1706421

Cited by 20 publications

(16 citation statements)

References 13 publications

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“…3. Dispersion diagram analysis [6] has been implemented for fitness check in this synthesizer so that a patch making up an EBG structure is enough for encoding instead of the whole EBG structure. A patch making up an EBG structure is discretized into unit cells.…”

Section: Synthesis Methodsmentioning

confidence: 99%

See 1 more Smart Citation

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

Kim

Engin

Swaminathan

2006

2006 IEEE Electrical Performane of Electronic Packaging

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Section: Synthesis Methodsmentioning

confidence: 99%

“…4 is the overall block diagram of the EBG synthesizer using GA. As shown in Fig. 4, the EBG synthesizer using GA has been fully automated by combining GA with the finite-difference frequencydomain (FDFD) method [7] and dispersion diagram analysis [6].…”

Section: Synthesis Methodsmentioning

confidence: 99%

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

Kim

Engin

Swaminathan

2006

2006 IEEE Electrical Performane of Electronic Packaging

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“…Shown in Figure 3 is the overall block diagram of the EBG synthesizer using genetic algorithm. As shown in Figure 3, the EBG synthesizer using genetic algorithm (GA) has been fully automated by combining GA with the finite-difference frequencydomain (FDFD) method [11] and dispersion diagram analysis [10].…”

Section: Fig 2 Encoding Of An Ebg Structure In Terms Of Genes To Apmentioning

confidence: 99%

“…Dispersion diagram analysis [10] has been implemented for fitness check in this synthesizer so that a patch making up an EBG structure is enough for encoding instead of the whole EBG structure. A patch making up an EBG structure is discretized into unit cells.…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic band gap (EBG) structure synthesizer using genetic algorithm for wireless system applications

Kim

Engin

Swaminathan

2006

2006 Asia-Pacific Microwave Conference

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Electromagnetic band gap (EBG) structure synthesizer using genetic algorithm (GA) has been developed. In mixed-signal systems, in spite of the fact that band gap structures have become very important parts for noise suppression, there has been no synthesis method for band gap structure. Hence, designing EBG structures have been computationally expensive. For the first time, EBG synthesizer using GA has been presented. The synthesizer has been verified with simulations and measurements. To have the synthesizer fully automated, GA has been combined with the finite-difference frequency-domain (FDFD) method and dispersion diagram analysis method.Index Terms -Antenna, electromagnetic band gap (EBG) structure, filter, genetic algorithm (GA), switching noise, synthesizer, mixed-signal systems.

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“…Several methods have been proposed, [26][27][28][29][30] based on equivalent circuit models and the dispersion diagram for analyzing the behavior of the EBG structures. This paper extends the idea of associating an inductance to the patterned plane, as sum of the patch and bridge inductances; thus achieving a larger total inductance than the solid plane case [31].…”

Section: Introductionmentioning

confidence: 99%

Accurate and Efficient Analysis of Planar Electromagnetic Band-Gap Structures for Power Bus Noise Mitigation in the GHZ Band

Orlandi

2012

PIER B

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Abstract-Noise reduction in PCB is a major concern in the present digital electronic systems with data rate beyond 10 Gbps. The noise, due to simultaneous switching noise, radiation from signal vias crossing the planes, etc. can propagate within parallel plane cavity at its resonant frequencies, thus allowing coupling between integrated circuits (ICs) far from each other. Electromagnetic band-gap (EBG) structures are largely employed as noise reduction technique. This paper presents a quick and efficient analytical approach for evaluating the EBG noise reduction performances in terms of band-gap limits. The study is based on the physics behavior of the planar EBG structures, focusing on its resonant properties. The resonant modes of the EBG cavity are affected by the additional inductance of the patterned plane respect to the case of the ideal solid plane cavity. The formulas provided, based on the quantification of such inductance, can be easily implemented and employed for a quick layout design of power planes in multilayer PCBs, as shown in a practical example of a partial EBG plane.

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Stopband prediction with dispersion diagram for electromagnetic bandgap structures in printed circuit boards

Cited by 20 publications

References 13 publications

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

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

Electromagnetic band gap (EBG) structure synthesizer using genetic algorithm for wireless system applications

Accurate and Efficient Analysis of Planar Electromagnetic Band-Gap Structures for Power Bus Noise Mitigation in the GHZ Band

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