Estimation of Propeller Shaft Rate of a Target Vessel Using UNet-Based Analysis of Passive Sonar Signals 


Vol. 51,  No. 2, pp. 258-261, Feb.  2026
10.7840/kics.2026.51.2.258


PDF Full-Text
  Abstract

This study proposes a UNet-based deep learning algorithm to remove noise contained in underwater radiated signals, thereby improving target detection and tracking performance in underwater environments. Analysis results show that for the first and second harmonic frequency components, UNet-based method achieved power spectral density (PSD) values up to approximately 6.2 dB higher than the conventional method in low-detection environments where the signal-to-noise ratio (SNR) is below zero. In other low-detection conditions, an average improvement of more than 3 dB was also observed. Furthermore, by calculating the interval differences between the peaks of each harmonic component, the propeller shaft rotation (PSR) was estimated to be 19.53 Hz.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Related Articles
  Cite this article

[IEEE Style]

, "Estimation of Propeller Shaft Rate of a Target Vessel Using UNet-Based Analysis of Passive Sonar Signals," The Journal of Korean Institute of Communications and Information Sciences, vol. 51, no. 2, pp. 258-261, 2026. DOI: 10.7840/kics.2026.51.2.258.

[ACM Style]

. 2026. Estimation of Propeller Shaft Rate of a Target Vessel Using UNet-Based Analysis of Passive Sonar Signals. The Journal of Korean Institute of Communications and Information Sciences, 51, 2, (2026), 258-261. DOI: 10.7840/kics.2026.51.2.258.

[KICS Style]

, "Estimation of Propeller Shaft Rate of a Target Vessel Using UNet-Based Analysis of Passive Sonar Signals," The Journal of Korean Institute of Communications and Information Sciences, vol. 51, no. 2, pp. 258-261, 2. 2026. (https://doi.org/10.7840/kics.2026.51.2.258)
Vol. 51, No. 2 Index

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880