SSP based underwater CIR estimation with S-BiFPN

SSP based underwater CIR estimation with S-BiFPN

In underwater sensor networks (USN), channel impulse response (CIR) estimation based on sound speed profile (SSP) ensures link reliability. We propose a separate bi-directional feature pyramid network (S-BiFPN) that estimates the CIR using deep learning based on SSP. The proposed method enlarges the...

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Bibliographic Details
Main Authors: Seunghwan Seol, Jongmin Ahn, Hojun Lee, Yongcheol Kim, Jaehak Chung
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:ICT Express
Subjects:
Machine learning
CIR estimation
SSP
BiFPN
Online Access:http://www.sciencedirect.com/science/article/pii/S240595952200008X

Internet

http://www.sciencedirect.com/science/article/pii/S240595952200008X

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