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Synthesis of phase-only position optimized reconfigurable uniformly excited linear antenna arrays with a single null placement
- Source :
- Journal of King Saud University: Engineering Sciences, Vol 32, Iss 6, Pp 360-367 (2020)
- Publication Year :
- 2020
- Publisher :
- Elsevier, 2020.
-
Abstract
- This paper presents a study on the synthesis of a position-phase optimized reconfigurable linear array antenna with uniform amplitude distributions. The objective is to produce a pencil/flat-top beam pair. In this position-phase method, a pencil beam is duly generated with zero degree phases and phases are varied between −180° and 180° to produce a flat-top beam keeping position of the elements and amplitude excitations common to both pencil and flat-top beams. The amplitude distribution of the elements is kept uniform. The phases as well as position of the elements are optimized by Teaching Learning Based Optimization (TLBO), modified Quantum Particle Swarm Optimization (QPSO) and Symbiotic Organisms Search (SOS) algorithms to produce the beam pair. The simulations are done for two Sets of elements and a null placement is included in one of the Sets. The results obtained using these algorithms are duly compared with each other and it is found that SOS algorithm performed in par with TLBO algorithm in the generation of the radiation pattern parameters and better over TLBO and QPSO in statistical values.
- Subjects :
- Physics
TLBO algorithm
020209 energy
0211 other engineering and technologies
General Engineering
Position optimization
QPSO algorithm
02 engineering and technology
Topology
SOS algorithm
Radiation pattern
Pencil (optics)
Linear array
Amplitude
lcsh:TA1-2040
Excited state
Linear array antenna
021105 building & construction
0202 electrical engineering, electronic engineering, information engineering
Quantum particle swarm optimization
Teaching learning
lcsh:Engineering (General). Civil engineering (General)
Beam (structure)
Reconfigurable array
Subjects
Details
- Language :
- English
- ISSN :
- 10183639
- Volume :
- 32
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- Journal of King Saud University: Engineering Sciences
- Accession number :
- edsair.doi.dedup.....a47a909cc48e5c8c2ce23bd2e45accd4