Article (Scientific journals)
Multibeam Beamforming for Direct Radiating Arrays in Satellite Communications Using Genetic Algorithm
VASQUEZ-PERALVO, Juan Andres; QUEROL, Jorge; ORTIZ GOMEZ, Flor de Guadalupe et al.
2024In IEEE Open Journal of the Communications Society, 5, p. 2343 - 2357
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Keywords :
Antennas; beamforming; direct radiating array; satellite communications; Antenna element; Antennas radiation patterns; Beam widths; Cubesat; Design factors; Direct radiating array; Multibeams; Phased-arrays; Satellite communications; Side lobes; Computer Networks and Communications; Antenna arrays; Phased arrays; Antenna radiation patterns; Satellites
Abstract :
[en] Recent advancements in onboard satellite communication have enhanced the capability of dynamically modifying the radiation pattern of a Direct Radiating Array (DRA). This is crucial not only for conventional communication satellites like Geostationary Orbit (GEO) but also for those in lower orbits such as Low Earth Orbit (LEO). Key design factors include the number of beams, beamwidth, Effective Isotropic Radiated Power (EIRP), and Side Lobe Level (SLL) for each beam. However, a challenge arises in multibeam scenarios when trying to simultaneously meet requirements for the aforementioned design factors which are reflected as uneven power distribution. This leads to over-saturation, especially in centrally located antenna elements due to the activation times per beam, commonly referred to as activation instances. In response to this challenge, this paper presents a method to balance the activation instances across antenna elements for each required beam. Our focus is on beams operating at 19 GHz on a CubeSat positioned 500 km above the Earth's surface. We introduce a Genetic Algorithm (GA)-based algorithm to optimize the beamforming coefficients by modulating the amplitude component of the weight matrix for each antenna element. A key constraint of this algorithm is a limit on activation instances per element, which avoids over-saturation in the Radio Frequency (RF) chain. Additionally, the algorithm accommodates beam requirements such as beamwidth, SLL, pointing direction, and total available power. With the previous key design factors, the algorithm will optimize the required genes to address the desired beam characteristics and constraints. We tested the algorithm's effectiveness in three scenarios using an 8times 8 DRA patch antenna with circular polarization, arranged in a triangular lattice. The results demonstrate that our algorithm not only meets the required beam pattern specifications but also ensures a uniform activation distribution across the antenna array.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
VASQUEZ-PERALVO, Juan Andres  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
QUEROL, Jorge  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
ORTIZ GOMEZ, Flor de Guadalupe  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
GONZALEZ RIOS, Jorge Luis  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
LAGUNAS, Eva  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
GARCES SOCARRAS, Luis Manuel  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
MERLANO DUNCAN, Juan Carlos  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
OLIVEIRA KUHFUSS DE MENDONÇA, Marcele  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
CHATZINOTAS, Symeon  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
External co-authors :
no
Language :
English
Title :
Multibeam Beamforming for Direct Radiating Arrays in Satellite Communications Using Genetic Algorithm
Publication date :
04 April 2024
Journal title :
IEEE Open Journal of the Communications Society
eISSN :
2644-125X
Publisher :
Institute of Electrical and Electronics Engineers Inc.
Volume :
5
Pages :
2343 - 2357
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
European Space Agency
“Satellite Signal Processing Techniques Using a Commercial Off-The-Shelf AI Chipset (SPAICE).”
Funding number :
4000134522/21/NL/FGL
Funding text :
This work was supported by the European Space Agency (ESA) funded under Contract 4000134522/21/NL/FGL named “Satellite Signal Processing Techniques Using a Commercial Off-The-Shelf AI Chipset (SPAICE)
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since 11 December 2024

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