Fast Design of Waveguide Microwave Filters Using Genetic Algorithm and Particle Swarm Optimization Based on the S-parameters Method

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Ahmadi Vanhari R.; Bakhtafrouz A.

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF RADAR Year:2019 | Volume:7 | Issue:1 (SERIAL No. 21) Page(s): 39-51

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

439

Download:

Cites:

Information Journal Paper

Title

Fast Design of Waveguide Microwave Filters Using Genetic Algorithm and Particle Swarm Optimization Based on the S-parameters Method

Author(s)

Ahmadi Vanhari R. | Bakhtafrouz A. | Issue Writer Certificate

Keywords

Waveguide Microwave FiltersQ1

S-Parameters MethodQ1

Genetic AlgorithmQ2

Particle Swarm OptimizationQ1

Quantum Particle Swarm OptimizationQ1

Multi-Objective OptimizationQ1

Abstract

In this article an accurate and efficient procedure to design microwave waveguide filters is presented which is based on the S-Parameters Method combined with optimization algorithms. The proposed method is fast, since only the full-wave characteristics of a small part of the filter (one building block) are required to design the whole filter. Three different optimization algorithms; Genetic Algorithm (GA), Particle Swarm Optimization algorithm (PSO) and quantum Particle Swarm Optimization algorithm (QPSO) are used for tuning the filter response and their performances in filter design are compared. This approach is verified through full-wave simulation using commercial software for post filter, iris filter, and E-plane metal insert filter at Ku, X and W frequency bands, respectively.

Cites

No record.

References

No record.

Cite

APA: Copy

Ahmadi Vanhari, R., & Bakhtafrouz, A.. (2019). Fast Design of Waveguide Microwave Filters Using Genetic Algorithm and Particle Swarm Optimization Based on the S-parameters Method. JOURNAL OF RADAR, 7(1 (SERIAL No. 21)), 39-51. SID. https://sid.ir/paper/405723/en

Vancouver: Copy

Ahmadi Vanhari R., Bakhtafrouz A.. Fast Design of Waveguide Microwave Filters Using Genetic Algorithm and Particle Swarm Optimization Based on the S-parameters Method. JOURNAL OF RADAR[Internet]. 2019;7(1 (SERIAL No. 21)):39-51. Available from: https://sid.ir/paper/405723/en

IEEE: Copy

R. Ahmadi Vanhari, and A. Bakhtafrouz, “Fast Design of Waveguide Microwave Filters Using Genetic Algorithm and Particle Swarm Optimization Based on the S-parameters Method,” JOURNAL OF RADAR, vol. 7, no. 1 (SERIAL No. 21), pp. 39–51, 2019, [Online]. Available: https://sid.ir/paper/405723/en

Related Journal Papers