Offshore Electromagnetic Spectrum Detection System Based on Self-Organizing Network

• Published in: IEEE sensors journal 2021-03, Vol.21 (6), p.8650-8661
• Main Authors: Chen, Zhenjia, Zhang, Yonghui
• Format: Article
• Language: English
• Subjects: Data analysis; Electromagnetic spectrum; Electromagnetics; Energy spectra; Feature extraction; I/Q data; Marine resources; multicast communication; Ocean temperature; Offshore; Radio frequency; Receiving antennas; Sea surface; self-organizing network; Ships; Spectrum detection; Surface waves; Waterways; Wave spectra; Wireless communications
• ISSN: 1530-437X; 1558-1748
• DOI: 10.1109/JSEN.2020.3047847

The offshore electromagnetic spectrum resource is one of the important marine resources. It is the physical channel for wireless communication between ships, ships and islands, waterways, and bays. The traditional discrete electromagnetic spectrum energy detection method extracts few signal features, and the data analysis is of little significance. This method is not suitable for offshore electromagnetic spectrum detection activities. We propose a distributed detection system based on self-organizing network to meet real-time large-scale offshore electromagnetic spectrum detection activities. Combining space energy spectrum, phase information, radio frequency (RF) I/Q multiple signal characteristics to study offshore electromagnetic spectrum sensing methods. We propose to replace the traditional electromagnetic spectrum detection method with signal feature description method. Combined with the attitude of the antenna, we introduced the wave spectrum to fit the complex sea surface under different sea conditions, and realized the offshore distributed electromagnetic spectrum prediction system. The research of offshore distributed electromagnetic frequency detection system is of great significance to improve the accuracy of offshore electromagnetic spectrum detection. It has theoretical guiding significance in analyzing the utilization of offshore electromagnetic spectrum resources, managing electromagnetic spectrum resources, and formulating dynamic spectrum access strategies.