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Ionospheric analysis using incoherent scatter radar and in-situ measurements
(Universidad de Chile, 2019)
Existen problemas de ambigüedad en la estimación de los parámetros del plasma ionosférico entre los 130 y los 300 km en los Radares de Dispersión Incoherente (ISR). En esos rangos, el ISR es incapaz de distinguir entre diferentes mezclas de iones...
Determination of the Signal Fluctuation Threshold of the Temperature-Ion Composition Ambiguity Problem Using Monte Carlo Simulations
(Blackwell, 2019)
Unambiguously estimating the plasma parameters of the ionosphere at altitudes between 130 and 300 km presents a problem for the incoherent scatter radar (ISR). At these ranges, ISR is unable to distinguish between different mixtures of molecular...
Performance evaluation of the particle swarm optimization algorithm to unambiguously estimate plasma parameters from incoherent scatter radar signals
(Springer, 2020)
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 discrimination between plasma parameters. This tem...
to unambiguously estimate ISR signals with very low signal fluctuation using the most frequently used non‑linear least squares (NLLS) fitting algorithm. In a previous study, the unambiguous estimation performance of the particle swarm optimization (PSO) algorithm...
to unambiguously estimate ISR signals with very low signal fluctuation using the most frequently used non‑linear least squares (NLLS) fitting algorithm. In a previous study, the unambiguous estimation performance of the particle swarm optimization (PSO) algorithm...