Abstract
In this paper, the whale optimization algorithm (WOA) is introduced and applied to the synthesis of uniformly excited broadside linear unequally spaced arrays for sidelobe suppression with different aperture constraints. Two design examples of pattern synthesis with fixed and unfixed array aperture respectively have been chosen to illustrate the effectiveness and superiority of WOA when compared to synthesis techniques described in literature. The results show that the WOA achieves lowest maximum sidelobe level relative to other state-of-the-art algorithms in two design cases. The WOA results and convergence tests demonstrate superior applicability of this novel optimization algorithm.
| Original language | English |
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| Title of host publication | Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 69-73 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781538637579 |
| DOIs | |
| Publication status | Published - 26 Jun 2018 |
| Event | 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018 - Wuhan, China Duration: 31 May 2018 → 2 Jun 2018 |
Publication series
| Name | Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018 |
|---|
Conference
| Conference | 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018 |
|---|---|
| Country/Territory | China |
| City | Wuhan |
| Period | 31/05/18 → 2/06/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- sidelobe suppression
- unequally spaced array
- whale optimization algorithm
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