Design of Microstrip Bandpass Filter Based on Genetic Optimization

Baaskar, E V Navin; Harshini, R; Poornima, T.; Natarajamani, S

doi:10.1109/icces45898.2019.9002296

Cited by 6 publications

(3 citation statements)

References 6 publications

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“…Larger value of mutation probability transforms GA into a purely random search algorithm, with only a minor mutation required to prevent the GA from prematurely converge into a suboptimal solution [18]. For finding good solution, crossover probability and mutation probability selection should be best [7].…”

Section: Optimization Of Pcml Filter Design Using Gamentioning

confidence: 99%

“…Miniaturization of filter for the Front-End Module (FEM) and optimum price is still a hurdle to achieve complete Radio Frequency (RF) combination [3][4], [24]. Desired frequency is the main requirement and other frequencies should be removed which are due to interference or noise, and this task is performed by filter [7] [19]. Therefore, filter is optimizing the size, cost and, RF performance.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Parallel Coupled Filter Using Genetic Algorithm for C Band Applications

Goyal¹,

Kushwah²,

Thakre³

2022

ECS Trans.

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PCML filter with five coupled lines is designed using mathematical calculations then the same PCML filter is optimized using GA for reduction in size and bandwidth enhancement. Optimized filter is compact and total size reduction is 37.66% after optimization and bandwidth enhancement after optimization is 84.3%. Both filters are useful for C band applications, wireless communication, satellite communication, cordless phones, surveillance, and weather monitoring using weather radar. The substrate used is FR4 epoxy with a dielectric constant 4.4 and thickness 1.6 mm.

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Section: Optimization Of Pcml Filter Design Using Gamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of Parallel Coupled Filter Using Genetic Algorithm for C Band Applications

Goyal¹,

Kushwah²,

Thakre³

2022

ECS Trans.

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“…For the best possible outcome, the bandstop filter is optimized with Genetic algorithm [16][17], whose input parameters are given below: The highest number of generations for which a gene's maximal value can be obtained is ten. [5] To encode these genes, the number of parents taken is10, and for t h e mating pool, the number of individuals t a k e n is 10 [7][8]. After the selection of parents, the probability of cross over to generate new children is as followsa) Individual cross-over probability 0.7 b) Variable cross-over probability 1…”

Section: Optimization Of Filtermentioning

confidence: 99%

Compact Dual Bandstop Filter Using Folded Lines and Genetic Algorithm

Goyal¹,

Kushwah²,

Thakre³

2022

ECS Trans.

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A novel method for creating a dual band bandstop filter with a meandering architecture is presented. Proposed bandstop filter shows two notch bands, one at 5.6 to 7.2 GHz and the other at 8 to 11 GHz. The designed filters simulated on HFSS software and fabricated on FR-4 substrates, filter dimensions have been optimized using GA. Filter shows S11 of 1dB and S21 of -18 dB at notch frequency 6.4 GHz and S11 of 1.2dB and S21 of -38 dB at notch frequency 9 GHz. The suggested filter has two pass bands one is up to 5 GHz for wireless communication and another is from 7.4 to 7.9 GHz for C band applications.

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