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Cell ID and Timing Estimation Techniques for Underwater Acoustic Cellular Systems in High-Doppler Environments.
Asim, Muhammad; Khan, Mohammed Saquib; Im, Tae Ho; Cho, Yong Soo.
Afiliación
  • Asim M; Department of Electrical and Electronics Engineering, Chung-Ang University, Seoul 156-756, Korea.
  • Khan MS; Department of Electrical and Electronics Engineering, Chung-Ang University, Seoul 156-756, Korea.
  • Im TH; Department of Oceanic IT Engineering, Hoseo University, Asan-si 336-795, Korea.
  • Cho YS; Department of Electrical and Electronics Engineering, Chung-Ang University, Seoul 156-756, Korea.
Sensors (Basel) ; 20(15)2020 Jul 26.
Article en En | MEDLINE | ID: mdl-32722529
In an underwater acoustic cellular (UAC) system, underwater equipment or sensor nodes need to detect the identity of an underwater base station (UBS) and synchronise it with a serving UBS. It is known that, in an underwater acoustic channel, the temporal variability of the ocean coupled with the low speed of sound in water may induce a significant Doppler shift. In this paper, two different types of cell search techniques (CSTs) are proposed to detect the cell ID and correct timing of the UBS in UAC systems with a Doppler shift: CST based on linear frequency modulation with full bandwidth in the time domain (LFM-FT) and CST based on linear frequency modulation in the frequency domain (LFM-FF). The performances (auto-correlation, cross-correlation, ambiguity function, and cross ambiguity function) of the proposed techniques are analysed and compared with simulation results. It is demonstrated by simulation that the proposed techniques perform better than previous techniques in both AWGN and multipath channels when a Doppler shift exists. It is also shown that the LFM-FF-CST achieves the best performance in the presence of a Doppler shift and is suitable for mobile UAC systems.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2020 Tipo del documento: Article