Time‐varying long‐range navigation signal channel modelling based on Dirichlet process mixtures method

Time‐varying long‐range navigation signal channel modelling based on Dirichlet process mixtures method

Abstract A model of the LOng‐RAnge Navigation signal can provide a mathematical model for the development of related technology research. The propagation variations of the signal exhibit non‐stationary and non‐linear characteristics due to the time‐varying nature of the atmospheric dielectric consta...

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Bibliografiska uppgifter
Huvudupphovsmän: Hongyu Ma, Yurong Pu, Zhenzhu Zhao, Zhonghong Du, Yongxing Du, Yuchen Zhao, Xiaoli Xi
Materialtyp: Artikel
Språk:English
Publicerad: Wiley 2023-10-01
Serie:IET Radar, Sonar & Navigation
Ämnen:
electromagnetic wave propagation
LORAN
mixture models
modelling
navigation
Länkar:https://doi.org/10.1049/rsn2.12444

Internet

https://doi.org/10.1049/rsn2.12444

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