2026-04-13T12:32:59Zhttps://recercat.cat/oai/requestoai:recercat.cat:20.500.14342/33142025-03-22T04:16:23Zcom_2072_482405com_2072_183628col_2072_482415
RECERCAT
author
Paladuga, Chowdary S.R.
author
Vedula, Chakravarthy V.S.S.S.
author
Anguera Pros, Jaume
author
Mishra, Rabindra K.
author
Andújar, Aurora
2018-03
http://hdl.handle.net/20.500.14342/3314
Antenna array synthesis for desired radiation characteristics is a challenging field of research in electromagnetics. When an array synthesis problem is visualized as an optimization problem several design parameters involved in synthesis process are considered as degrees of freedom. Every combination of design parameters forms a synthesis technique. In this paper,
certain emphasis is given to analyse the techniques of linear array (LA) design using evolutionary computing tools. Novel computing tools like Flower Pollination Algorithm is used for LA synthesis using different degrees of freedom and compared with a conventional Tchebycheff method. Accelerated Particle Swarm Optimization (APSO) is also employed to study the
consistency of the technique with the employed computing tool. Radiation patterns are generated with optimized SLL and Tchebycheff beamwidth constraint.
eng
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Antenes de microones
Algorismes
Matrius (Matemàtica)
Performance of Beamwidth Constrained Linear Array Synthesis Techniques Using Novel Evolutionary Computing Tools
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion