Time‐varying long‐range navigation signal channel modelling based on Dirichlet process mixtures method
نویسندگان
چکیده
Abstract A model of the LOng‐RAnge Navigation signal can provide a mathematical for development related technology research. The propagation variations exhibit non‐stationary and non‐linear characteristics due to time‐varying nature atmospheric dielectric constant in channel. Dirichlet process mixtures method is used by authors statistical properties radio wave attenuation, Gibbs sampling flexibly estimate parameters model. as non‐parametric be applied capture dynamics signals with being adaptively inferred. receiver measurement device obtain real data check performance Kullback–Leibler Divergence (KL‐Div) was evaluate different datasets. results showed that model's were consistent. Its flexibility allows it represent complex distributions without prior knowledge.
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ژورنال
عنوان ژورنال: Iet Radar Sonar and Navigation
سال: 2023
ISSN: ['1751-8784', '1751-8792']
DOI: https://doi.org/10.1049/rsn2.12444