Open AccessA novel detection method for signal disturbances in the ship distribution network based on morphological gradient
Author(s) -
Yong Zhang,
Chengjun Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2029/1/012144
Subject(s) - signal (programming language) , computer science , distribution (mathematics) , detection theory , artificial intelligence , pattern recognition (psychology) , mathematics , detector , telecommunications , mathematical analysis , programming language
Aiming at the deficiencies of the current detection methods for signal disturbances in the ship distribution network, such as low accuracy and slow detection speed, a new detection method for signal disturbances in the ship distribution network based on morphological gradient is proposed. The effectiveness of the proposed method is verified by comparing its detection accuracy and speed with an existing method on five typical signal disturbances in the ship distribution network. The comparison results show that the proposed method can detect the signal disturbances in the ship distribution network quickly and accurately.