The techniques on the generation of multiple solutions in shaped-beam pattern synthesis are standardly focused on the use of patterns with complex nature as input. Otherwise, in order to derive a symmetric pure real distribution from the canonical pattern synthesis techniques, a generation of a pure-real pattern has to be imposed. In the present work, the exploitation of the multiplicity of the shaped pattern generated by this symmetric pure real distribution is proposed, without constraining the solutions to necessarily meet the pure-real pattern requirement. Therefore, an increase on the degrees of freedom is produced and a greater number of continuous distributions (presenting different natures) is achieved, by omitting the restrictions found in the state-of-the-art methodologies. Thus, a general multiplicity of solutions can be reached and the design protocol can increase its number of alternatives for facing different feeding network structures. In such a way, this article is devoted to illustrate the improvements in terms of number of feasible solutions reached by the general method, including alternative symmetric pure real distributions as input within the procedure. In this manner, two different approaches, constraining the pattern to present the same number of ripples or a similar main beam width, are discussed. Examples of both Taylor distributions linear and circular are illustrated.

Enhanced Multiplicity on Shaped Patterns by Introducing Symmetric Pure Real Distributions: Taylor Linear and Circular Sources / Salas-Sanchez, Aa; Rodriguez-Gonzalez, Ja; Lopez-Martin, Me; Ares-Pena, Fj. - In: IEEE ACCESS. - ISSN 2169-3536. - STAMPA. - 2021, 9:(2021), pp. 13636-13642. [10.1109/ACCESS.2021.3051854]

Enhanced Multiplicity on Shaped Patterns by Introducing Symmetric Pure Real Distributions: Taylor Linear and Circular Sources

Salas-Sanchez, AA;
2021-01-01

Abstract

The techniques on the generation of multiple solutions in shaped-beam pattern synthesis are standardly focused on the use of patterns with complex nature as input. Otherwise, in order to derive a symmetric pure real distribution from the canonical pattern synthesis techniques, a generation of a pure-real pattern has to be imposed. In the present work, the exploitation of the multiplicity of the shaped pattern generated by this symmetric pure real distribution is proposed, without constraining the solutions to necessarily meet the pure-real pattern requirement. Therefore, an increase on the degrees of freedom is produced and a greater number of continuous distributions (presenting different natures) is achieved, by omitting the restrictions found in the state-of-the-art methodologies. Thus, a general multiplicity of solutions can be reached and the design protocol can increase its number of alternatives for facing different feeding network structures. In such a way, this article is devoted to illustrate the improvements in terms of number of feasible solutions reached by the general method, including alternative symmetric pure real distributions as input within the procedure. In this manner, two different approaches, constraining the pattern to present the same number of ripples or a similar main beam width, are discussed. Examples of both Taylor distributions linear and circular are illustrated.
2021
Salas-Sanchez, Aa; Rodriguez-Gonzalez, Ja; Lopez-Martin, Me; Ares-Pena, Fj
Enhanced Multiplicity on Shaped Patterns by Introducing Symmetric Pure Real Distributions: Taylor Linear and Circular Sources / Salas-Sanchez, Aa; Rodriguez-Gonzalez, Ja; Lopez-Martin, Me; Ares-Pena, Fj. - In: IEEE ACCESS. - ISSN 2169-3536. - STAMPA. - 2021, 9:(2021), pp. 13636-13642. [10.1109/ACCESS.2021.3051854]
File in questo prodotto:
File Dimensione Formato  
Enhanced Multiplicity on Shaped Pattern...pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Creative commons
Dimensione 1.48 MB
Formato Adobe PDF
1.48 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/382151
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
  • OpenAlex ND
social impact