Ionogram scaling using Hidden Markov Models
2018 26th Signal Processing and Communications Applications Conference (SIU)
Institute of Electrical and Electronics Engineers
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In this paper, a novel method for electron density reconstruction using ionosonde data is proposed. Proposed technique uses Hidden Markov Models for extracting echoes that provides valuable information about electron density distribution in order to provide input to a model based optimization technique that reconstructs the electron density distribution by solving model parameters. Analysis on real ionosonde data shows that proposed technique outperforms standard techniques in the literature.
KeywordsElectron density re-consturction
Hidden Markov Models
Model based optimization