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, S.A., Kumar, O.P., Raimond, K. (2019). Recovery of a Failed Antenna Element Using Genetic Algorithm and Particle Swarm Optimization for MELISSA. In: Thampi, S., Marques, O., Krishnan, S., Li, KC., Ciuonzo, D., Kolekar, M. (eds) Advances in Signal Processing and Intelligent Recognition Systems. SIRS 2018. Communications in Computer and Information Science, vol 968. Springer, Singapore. https://doi.org/10.1007/978-981-13-5758-9_19
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