Recovery of a failed antenna element using genetic algorithm and particle swarm optimization for MELISSA

Shweta Vincent, Sharmila Anand John Francis, Om Prakash Kumar, Kumudha Raimond

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A 2 × 6 planar coaxial cavity horn antenna array has been proposed for the transmitter module of the MELISSA GB-SAR system [7]. This system is installed in Italy for monitoring of land deformations leading to landslides and is required to work round-the-clock for continuous monitoring. Failure of even a single antenna element in the transmitting or receiving module of this system could alter the radiation pattern of the system and could prove to be hazardous. This article performs a comparative analysis of the Genetic algorithm and Particle Swarm Optimization algorithm to recover the failed element in the 2 × 6 antenna array. The results of MatLab simulation prove that both the GA and PSO algorithms converge well to auto-recover the failed element.

Original languageEnglish
Title of host publicationAdvances in Signal Processing and Intelligent Recognition Systems - 4th International Symposium SIRS 2018, Revised Selected Papers
EditorsSri Krishnan, Maheshkumar H. Kolekar, Sabu M. Thampi, Domenico Ciuonzo, Oge Marques, Kuan-Ching Li
PublisherSpringer Verlag
Pages217-228
Number of pages12
ISBN (Print)9789811357572
DOIs
Publication statusPublished - 01-01-2019
Event4th International Symposium on Signal Processing and Intelligent Recognition Systems, SIRS 2018 - Bangalore, India
Duration: 19-09-201822-09-2018

Publication series

NameCommunications in Computer and Information Science
Volume968
ISSN (Print)1865-0929

Conference

Conference4th International Symposium on Signal Processing and Intelligent Recognition Systems, SIRS 2018
CountryIndia
CityBangalore
Period19-09-1822-09-18

Fingerprint

Antenna arrays
Particle swarm optimization (PSO)
Particle Swarm Optimization
Antenna
Recovery
Genetic algorithms
Genetic Algorithm
Antennas
Horn antennas
Antenna Arrays
Monitoring
Landslides
Clocks
Transmitters
Matlab Simulation
Module
Landslide
Coaxial
Particle Swarm Optimization Algorithm
Comparative Analysis

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

Cite this

Vincent, S., John Francis, S. A., Kumar, O. P., & Raimond, K. (2019). Recovery of a failed antenna element using genetic algorithm and particle swarm optimization for MELISSA. In S. Krishnan, M. H. Kolekar, S. M. Thampi, D. Ciuonzo, O. Marques, & K-C. Li (Eds.), Advances in Signal Processing and Intelligent Recognition Systems - 4th International Symposium SIRS 2018, Revised Selected Papers (pp. 217-228). (Communications in Computer and Information Science; Vol. 968). Springer Verlag. https://doi.org/10.1007/978-981-13-5758-9_19
Vincent, Shweta ; John Francis, Sharmila Anand ; Kumar, Om Prakash ; Raimond, Kumudha. / Recovery of a failed antenna element using genetic algorithm and particle swarm optimization for MELISSA. Advances in Signal Processing and Intelligent Recognition Systems - 4th International Symposium SIRS 2018, Revised Selected Papers. editor / Sri Krishnan ; Maheshkumar H. Kolekar ; Sabu M. Thampi ; Domenico Ciuonzo ; Oge Marques ; Kuan-Ching Li. Springer Verlag, 2019. pp. 217-228 (Communications in Computer and Information Science).
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abstract = "A 2 × 6 planar coaxial cavity horn antenna array has been proposed for the transmitter module of the MELISSA GB-SAR system [7]. This system is installed in Italy for monitoring of land deformations leading to landslides and is required to work round-the-clock for continuous monitoring. Failure of even a single antenna element in the transmitting or receiving module of this system could alter the radiation pattern of the system and could prove to be hazardous. This article performs a comparative analysis of the Genetic algorithm and Particle Swarm Optimization algorithm to recover the failed element in the 2 × 6 antenna array. The results of MatLab simulation prove that both the GA and PSO algorithms converge well to auto-recover the failed element.",
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Vincent, S, John Francis, SA, Kumar, OP & Raimond, K 2019, Recovery of a failed antenna element using genetic algorithm and particle swarm optimization for MELISSA. in S Krishnan, MH Kolekar, SM Thampi, D Ciuonzo, O Marques & K-C Li (eds), Advances in Signal Processing and Intelligent Recognition Systems - 4th International Symposium SIRS 2018, Revised Selected Papers. Communications in Computer and Information Science, vol. 968, Springer Verlag, pp. 217-228, 4th International Symposium on Signal Processing and Intelligent Recognition Systems, SIRS 2018, Bangalore, India, 19-09-18. https://doi.org/10.1007/978-981-13-5758-9_19

Recovery of a failed antenna element using genetic algorithm and particle swarm optimization for MELISSA. / Vincent, Shweta; John Francis, Sharmila Anand; Kumar, Om Prakash; Raimond, Kumudha.

Advances in Signal Processing and Intelligent Recognition Systems - 4th International Symposium SIRS 2018, Revised Selected Papers. ed. / Sri Krishnan; Maheshkumar H. Kolekar; Sabu M. Thampi; Domenico Ciuonzo; Oge Marques; Kuan-Ching Li. Springer Verlag, 2019. p. 217-228 (Communications in Computer and Information Science; Vol. 968).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Vincent S, John Francis SA, Kumar OP, Raimond K. Recovery of a failed antenna element using genetic algorithm and particle swarm optimization for MELISSA. In Krishnan S, Kolekar MH, Thampi SM, Ciuonzo D, Marques O, Li K-C, editors, Advances in Signal Processing and Intelligent Recognition Systems - 4th International Symposium SIRS 2018, Revised Selected Papers. Springer Verlag. 2019. p. 217-228. (Communications in Computer and Information Science). https://doi.org/10.1007/978-981-13-5758-9_19