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Internal report. Solving mixed integer non-linear programming problem applied to GNSS data

Autor
Yang, H.; Monte, E.; Hernandez, M.
Tipus d'activitat
Document cientificotècnic
Data
2014-11-07
Repositori
http://hdl.handle.net/2117/26831 Obrir en finestra nova
Resum
The purpose of this paper is to characterize Medium Scale Trav- eling Ionospheric Disturbances (MSTIDs), by means of Mixed Integer Nonlinear Programming (MINLP). The MINLP techniques are used to for estimating the parameters of the equations that describe the MSTIDs from a set of observations. A new MSTIDs wave detecting method, which we will denote as Ambiguity Resolution in Global Navi- gational Satellite System (GNSS) Ionospheric Interferometry (ARGII) technique, is designed to model the MSTI...
Citació
Yang, H.; Monte, E.; Hernandez, M. "Internal report. Solving mixed integer non-linear programming problem applied to GNSS data". 2014.
Paraules clau
Mixed Integer Nonlinear Programming, Medium Scale Traveling Ionospheric Disturbances, Gnss, Genetic Algorithms, Simulated Annealing, Particle Swarm Algorithms, Pattern Search Algorithm, Nelder Mead Algorithm
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
IonSAT - Grup de determinació Ionosfèrica i navegació per SAtèl·lit i sistemes Terrestres
TALP - Centre de Tecnologies i Aplicacions del Llenguatge i la Parla
VEU - Grup de Tractament de la Parla

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