Performance evaluation of the particle swarm optimization algorithm to unambiguously estimate plasma parameters from incoherent scatter radar signals

Performance evaluation of the particle swarm optimization algorithm to unambiguously estimate plasma parameters from incoherent scatter radar signals

Abstract Simultaneously estimating plasma parameters of the ionosphere presents a problem for the incoherent scatter radar (ISR) technique at altitudes between ~ 130 and ~ 300 km. Different mixtures of ion concentrations and temperatures generate almost identical backscattered signals, hindering the...

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Bibliographic Details
Main Authors: Miguel Martínez-Ledesma, Francisco Jaramillo Montoya
Format: Article
Language:English
Published: SpringerOpen 2020-11-01
Series:Earth, Planets and Space
Subjects:
Temperature–ion composition ambiguity
Ionospheric plasma parameters
Incoherent scatter radar
Monte Carlo simulation
Optimization algorithms
Particle swarm optimization algorithm
Online Access:http://link.springer.com/article/10.1186/s40623-020-01297-w

Internet

http://link.springer.com/article/10.1186/s40623-020-01297-w

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