@article{ART003048119},
author={Jin-Hyang Ahn and Chi-Sun Baek},
title={A Study of the Submarine Periscope Detection Algorithm using Characteristic of Target HRRP Information},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={1},
pages={131-138},
doi={10.9708/jksci.2024.29.01.131}
TY - JOUR
AU - Jin-Hyang Ahn
AU - Chi-Sun Baek
TI - A Study of the Submarine Periscope Detection Algorithm using Characteristic of Target HRRP Information
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 1
PB - The Korean Society Of Computer And Information
SP - 131
EP - 138
SN - 1598-849X
AB - The ability of Combat Management System(CMS) to respond quickly and accurately to threat to a naval vessel is directly related to the survivability and combat power of the vessel. However, current method for detecting enemy submarine periscope in CMS rely on manual and subjective method that require operators to manually verify and analyze information received from sensor. This delays the response time to the threat, making the vessel less viable. This paper introduces a periscope detection algorithm that classifies the plot information generated by High Resolution Range Profile(HRRP) into probability-based suspicion classes and dramatically reduces threat response time through classified notifications. Algorithm validation showed × times faster and higher detection rate than operator, confirming the potential for reduces threat response time to increase vessel survivability.
KW - Combat Management System;Threat Response Time;Submarine;Periscope;HRRP
DO - 10.9708/jksci.2024.29.01.131
ER -
Jin-Hyang Ahn and Chi-Sun Baek. (2024). A Study of the Submarine Periscope Detection Algorithm using Characteristic of Target HRRP Information. Journal of The Korea Society of Computer and Information, 29(1), 131-138.
Jin-Hyang Ahn and Chi-Sun Baek. 2024, "A Study of the Submarine Periscope Detection Algorithm using Characteristic of Target HRRP Information", Journal of The Korea Society of Computer and Information, vol.29, no.1 pp.131-138. Available from: doi:10.9708/jksci.2024.29.01.131
Jin-Hyang Ahn, Chi-Sun Baek "A Study of the Submarine Periscope Detection Algorithm using Characteristic of Target HRRP Information" Journal of The Korea Society of Computer and Information 29.1 pp.131-138 (2024) : 131.
Jin-Hyang Ahn, Chi-Sun Baek. A Study of the Submarine Periscope Detection Algorithm using Characteristic of Target HRRP Information. 2024; 29(1), 131-138. Available from: doi:10.9708/jksci.2024.29.01.131
Jin-Hyang Ahn and Chi-Sun Baek. "A Study of the Submarine Periscope Detection Algorithm using Characteristic of Target HRRP Information" Journal of The Korea Society of Computer and Information 29, no.1 (2024) : 131-138.doi: 10.9708/jksci.2024.29.01.131
Jin-Hyang Ahn; Chi-Sun Baek. A Study of the Submarine Periscope Detection Algorithm using Characteristic of Target HRRP Information. Journal of The Korea Society of Computer and Information, 29(1), 131-138. doi: 10.9708/jksci.2024.29.01.131
Jin-Hyang Ahn; Chi-Sun Baek. A Study of the Submarine Periscope Detection Algorithm using Characteristic of Target HRRP Information. Journal of The Korea Society of Computer and Information. 2024; 29(1) 131-138. doi: 10.9708/jksci.2024.29.01.131
Jin-Hyang Ahn, Chi-Sun Baek. A Study of the Submarine Periscope Detection Algorithm using Characteristic of Target HRRP Information. 2024; 29(1), 131-138. Available from: doi:10.9708/jksci.2024.29.01.131
Jin-Hyang Ahn and Chi-Sun Baek. "A Study of the Submarine Periscope Detection Algorithm using Characteristic of Target HRRP Information" Journal of The Korea Society of Computer and Information 29, no.1 (2024) : 131-138.doi: 10.9708/jksci.2024.29.01.131
