Abstract
In this paper, a new hybrid optimization approach for the pattern synthesis of linear antenna array is proposed. Hybrid approach (TAGAPSO) contains Taguchi Algorithm(TA), Genetic Algorithm(GA) and Particle Swarm Optimization (PSO). The aim of the optimization is to obtain desired side lobe level and half power beam width of the linear antenna array. Optimization results obtained by TA, GA, PSO and TAGAPSO are compared. The results show that TAGAPSO is much better than TA, GA and PSO. Optimization goals satisfied via TAGAPSO are much better than the other methods. Results of TAGAPSO are also compared with the results obtained by High Frequency Structural Simulator (HFSS) in order to verify the results.
| Original language | English |
|---|---|
| Title of host publication | 2018 18th Mediterranean Microwave Symposium, MMS 2018 |
| Publisher | IEEE Computer Society |
| Pages | 17-21 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781538671320 |
| DOIs | |
| Publication status | Published - 14 Jan 2019 |
| Event | 18th Mediterranean Microwave Symposium, MMS 2018 - Istanbul, Turkey Duration: 31 Oct 2018 → 2 Nov 2018 |
Publication series
| Name | Mediterranean Microwave Symposium |
|---|---|
| Volume | 2018-October |
| ISSN (Print) | 2157-9822 |
| ISSN (Electronic) | 2157-9830 |
Conference
| Conference | 18th Mediterranean Microwave Symposium, MMS 2018 |
|---|---|
| Country/Territory | Turkey |
| City | Istanbul |
| Period | 31/10/18 → 2/11/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- genetic algorithm
- linear antenna array
- particle swarm optimization
- pattern synthesis
- Taguchi algorithm