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

2 Citations (Scopus)

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
Country/TerritoryIndia
CityBangalore
Period19-09-1822-09-18

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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