@inproceedings{d1c661d05e154c86abf99d0002ebffde,
title = "Recovery of a failed antenna element using genetic algorithm and particle swarm optimization for MELISSA",
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.",
author = "Shweta Vincent and \{John Francis\}, \{Sharmila Anand\} and Kumar, \{Om Prakash\} and Kumudha Raimond",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; 4th International Symposium on Signal Processing and Intelligent Recognition Systems, SIRS 2018 ; Conference date: 19-09-2018 Through 22-09-2018",
year = "2019",
month = jan,
day = "1",
doi = "10.1007/978-981-13-5758-9\_19",
language = "English",
isbn = "9789811357572",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "217--228",
editor = "Sri Krishnan and Kolekar, \{Maheshkumar H.\} and Thampi, \{Sabu M.\} and Domenico Ciuonzo and Oge Marques and Kuan-Ching Li",
booktitle = "Advances in Signal Processing and Intelligent Recognition Systems - 4th International Symposium SIRS 2018, Revised Selected Papers",
address = "Germany",
}