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Synthesis of satellite footprint patterns from rectangular planar array antenna by using swarm‐based optimization algorithms
Author(s) -
Chatterjee Anirban,
Mahanti Gautam Kumar,
Ghatak Gourab
Publication year - 2013
Publication title -
international journal of satellite communications and networking
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.388
H-Index - 39
eISSN - 1542-0981
pISSN - 1542-0973
DOI - 10.1002/sat.1055
Subject(s) - computer science , footprint , firefly algorithm , algorithm , planar array , swarm behaviour , side lobe , ripple , planar , antenna array , genetic algorithm , antenna (radio) , circular buffer , telecommunications , particle swarm optimization , artificial intelligence , electrical engineering , engineering , paleontology , computer graphics (images) , voltage , machine learning , biology , programming language
SUMMARY A pattern synthesis method based on Firefly Algorithm (FA) and Artificial Bee Colony (ABC) optimization has been presented to generate satellite footprint patterns from a rectangular planar array of isotropic antennas by modifying the amplitude, phase, and the state of the array elements. Three cases comprising three different footprints of rectangular, square, and circular boundary are generated from the same array by using two different swarm‐based optimization algorithms FA and ABC. Both the algorithms, following the proposed procedures are able to generate the three different footprint patterns while maintaining a satisfactory lower peak side lobe level and ripple. A comparative analysis has been carried out between FA, ABC, and Genetic Algorithm (GA) for the presented problem in terms of fitness value for the three different cases. The superiority of FA and ABC over GA has been established in terms of finding better solutions for all the three cases of the proposed problem. Copyright © 2013 John Wiley & Sons, Ltd.