Electromagnetic Band Gap Synthesis Using Genetic Algorithms for Mixed Signal Applications

Kim, Tae Hong; Swaminathan, Madhavan; Engin, A. Ege; Yang, Bo

doi:10.1109/tadvp.2008.2005841

Cited by 16 publications

(12 citation statements)

References 20 publications

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“…For example, if f 1 is 1 GHz and f 2 is 2 GHz, the model could also output EBG dimensions as answers that provide isolation between 0.5 and 3 GHz, which still meets the input specification. Furthermore, if the input band gap specifications for the given impedances and material properties make the realization of EBGs infeasible [7], the proposed analytical model will not produce an output.…”

Section: Ebg Synthesis Methodologymentioning

confidence: 99%

“…These methods are designed to predict the stop bands if dimensions of the EBGs are known, but they are not very adept when it comes to actually synthesizing EBGs (i.e., produce the dimensions of the EBGs) for a given isolation band. Probably the only method that is closest to the proposed approach is [7], where genetic algorithm is used to synthesize EBGs. This method requires the user to provide initial starting dimensions (i.e., hint) for the EBG unit cell after which it uses genetic algorithm in conjunction with dispersion diagram method [5] to prune the search space and converge to the appropriate EBG unit cell dimensions.…”

Section: Introductionmentioning

confidence: 99%

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Synthesis of electromagnetic band gap structures using stepped impedance resonators

Sankaran

Swaminathan

Tummala

2011

Micro & Optical Tech Letters

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conventional link that uses a MZM. The MZM provides a SFDR of only 108.6 dB Hz 2/3 , under the same link parameters, and is limited by the IM 3 [7]. CONCLUSIONSThis work presented theoretical results of a RRM-based analog optical link, in which the RRM is designed under appropriate fabrication parameter conditions, namely s ¼ 0.8 and a R ¼ 7.103 Â 10 3 m À1 , as well as being biased accordingly. This RRM approach presents a very high SFDR, which is $18 dB higher than that attainable by the MZM counterpart. Therefore, the RRM can be considered as a highly linear modulator, thereby becoming suitable for being used in applications that demand such a stringent requirement. REFERENCES

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Section: Ebg Synthesis Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Synthesis of electromagnetic band gap structures using stepped impedance resonators

Sankaran

Swaminathan

Tummala

2011

Micro & Optical Tech Letters

Self Cite

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“…In the past, several EBG structures are developed for various applications such as mobile phones, GPS and WLAN etc and Genetic Algorithm (GA) and Particle swarm optimization (PSO) techniques have been used for analysis of EBG structures [11,12]. In this paper, for the first time a meta-heuristic CS optimization algorithm has been employed for designing an EBG structure at desired frequency range.…”

Section: Optimizationmentioning

confidence: 99%

Design of Planar Ebg Structures Using Cuckoo Search Algorithm for Power/Ground Noise Suppression

Pani¹,

Nagpal²,

Malik³

et al. 2013

PIER M

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This paper deals with the application of a meta-heuristic optimization algorithm, namely the Cuckoo Search Algorithm in design of the electromagnetic band gap (EBG) structures. These EBG structures are employed for the purpose of suppressing power/ground noise in printed circuit boards. A design example of 2D planar EBG structure in the specified frequency band is presented and implemented. The measured results are found to be in good agreement with the simulation as well as the analytical results.

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“…Normally EBG unit cell can be designed to meet the demands of applications, such as mobile phones, GPS and WLAN etc. Previously Genetic Algorithm (GA) and Particle swarm optimization (PSO) were used for analysis of EBG structures [15] [16]. Here we have introduced a meta-heuristic firefly optimization algorithm for designing an EBG plane at desired frequency range.…”

Section: B Optimizationmentioning

confidence: 99%

Mitigation of simultaneous switching noise on EBG planes using firefly algorithm

Pani

Nagpal

Malik

et al. 2012

2012 International Conference on Communication, Information &Amp; Computing Technology (ICCICT)

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In this paper, a meta-heuristic optimization algorithm is proposed for the design of Electromagnetic Band Gap (EBG) structures to suppress simultaneous switching noise (SSN) on printed circuit boards. This algorithm offers optimized dimensions of EBG unit cell at desired frequency band. A design example of 2D planar EBG structure in the specified frequency band is presented. The simulated results are found to be in good agreement with the analytical results.

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Electromagnetic Band Gap Synthesis Using Genetic Algorithms for Mixed Signal Applications

Cited by 16 publications

References 20 publications

Synthesis of electromagnetic band gap structures using stepped impedance resonators

Synthesis of electromagnetic band gap structures using stepped impedance resonators

Design of Planar Ebg Structures Using Cuckoo Search Algorithm for Power/Ground Noise Suppression

Mitigation of simultaneous switching noise on EBG planes using firefly algorithm

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