Performance Analysis of VCA-Based Target Detection System for Maritime Surveillance

Bisio, Igor; Garibotto, Chiara; Lavagetto, Fabio; Sciarrone, Andrea

doi:10.1109/tvt.2022.3223250

Cited by 4 publications

(1 citation statement)

References 25 publications

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“…Ship navigation and maritime traffic management rely heavily on various radio signals, among which ship-borne Very High Frequency (VHF) Radios are most commonly used for navigation and traffic control purposes [2]. However, due to the utilization of analog communication technology in maritime VHF communication and the requirement for ships sailing in the same area to use a shared public channel for interactive communication, effectively identifying ships using VHF radios has always been a technical challenge within the realm of ship perception [3]. Ensuring accurate target identification during VHF radio communications is not only crucial for enabling autonomous driving and intelligent collision avoidance in intelligent ships but also essential for efficient water traffic management.…”

Section: Introductionmentioning

confidence: 99%

Identification of Shipborne VHF Radio Based on Deep Learning with Feature Extraction

Chen,

Liu

2024

JMSE

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In the feature identification of maritime VHF radio communication signals, shipborne VHF communication technology follows the same international technical standards formulated by IMO, uses analog communication technology and uses the same communication channel in the same area, and cannot effectively achieve signal feature identification by adding feature elements in the process of signal modulation. How to effectively identify the ship using VHF radio has always been a technical difficulty in the field of ship perception. In this paper, based on the convolutional neural network, combined with the feasibility of CAM feature extraction and BiLSTM feature extraction in non-cooperative signal recognition, a deep learning recognition model of shipborne VHF radio communication signals is established, and the deep learning approach is employed to discern the features of VHF signals, thereby accomplishing the identification and classification of transmitting VHF radio stations. Several experiments are designed according to the characteristics of ship communication scenes at sea. The experimental data show that the method proposed in this paper can provide a new feasible path for ship target perception in terms of radio signal characteristics and identification.

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Section: Introductionmentioning

confidence: 99%