An Analysis of Metaheuristic Algorithms Used for the Recovery of a Failed Antenna Element in an Antenna Array

Vincent, Shweta and Francis, Sharmila Anand John and Raimond, Kumudha (2019) An Analysis of Metaheuristic Algorithms Used for the Recovery of a Failed Antenna Element in an Antenna Array. International Journal on Communications Antenna and Propagation, 9 (6). pp. 409-418. ISSN 2039-5086

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Abstract

A ground-based synthetic aperture radar system (GB-SAR) comprising of 12 horn antennas in its transmitter section and 12 Vivaldi antennas in its receiver section is used for the monitoring of the Tessina landslide in Italy and the sinking of the Costa Concordia ship in Italy. Alternate 2×6 geometry of 12 coaxial cavity horn antennas have been proven to yield a higher half-power beamwidth and low peak sidelobe ratio resulting in a better quality of the image captured. This 2×6 planar array, when fed with power according to the Dolph Chebyshev weighting polynomial, removes side lobes entirely and results in an increase half-power beamwidth (HPBW) value. A failure of any single element in the 2×6 array could lead to the alteration of the radiation pattern thereby jeopardizing the monitoring activity. This paper explores the usage of metaheuristic algorithms in order to recover the weight of the principal antenna element of the 2×6 coaxial cavity horn antenna array. The algorithms explored are Gradient Descent, Simulated Annealing, Firefly algorithm, Bat algorithm, Flower Pollination algorithm, Cuckoo search algorithm, and Harmony Search algorithm. Among these ones, the Firefly algorithm performs the best in finding the weight of the failed antenna element of the 2×6 planar array

Item Type: Article
Uncontrolled Keywords: GB-SAR, MELISSA, Metaheuristic Algorithms, Gradient Descent, Simulated Annealing, Firefly Algorithm, Bat Algorithm, Flower Pollination Algorithm, Cuckoo Search Algorithm, Harmony Search Algorith
Subjects: Engineering > MIT Manipal > Electronics and Communication
Engineering > MIT Manipal > Mechatronics
Depositing User: MIT Library
Date Deposited: 17 Mar 2020 09:12
Last Modified: 17 Mar 2020 09:12
URI: http://eprints.manipal.edu/id/eprint/155002

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