卫星频谱信号智能挖掘技术

doi:10.11959/j.issn.2096-8930.2022029

Space-Integrated-Ground Information Networks ›› 2022, Vol. 3 ›› Issue (3): 30-36.doi: 10.11959/j.issn.2096-8930.2022029

Special Issue: 专题：智能+卫星互联网

• Special Issue: Intelligent+Satellite Internet • Previous Articles Next Articles

Intelligent Excavation Technologies for Satellite Spectrum Signals

Qiulin LYU¹^,³, Xiaojin DING¹^,³, Gengxin ZHANG²^,³

¹ College of Internet of Things, Nanjing University of Post and Telecommunications, Nanjing 210003, China
² College of Telecommunications ＆Information Engineering, Nanjing University of Post and Telecommunications, Nanjing 210003, China
³ Satellite Communication Research Institute, Nanjing University of Post and Telecommunications, Nanjing 210003, China

Revised:2022-07-06 Online:2022-09-20 Published:2022-09-01
Supported by:
The National Natural Science Foundation of China(62171234);The National Natural Science Foundation of China(U21A20450);The National Natural Science Foundation of China(61971440);Jiangsu Province Basic Research Project(BK20192002)

Abstract

Abstract:

With the construction of spatial information network, the available spectrum resources are increasingly scarce, and the electromagnetic environment is becoming more and more complex, resulting a more prominent challenge of realizing the safe control of the global electromagnetic.Therefore, the sensing method of electromagnetic spectrum occupation state was studied, a time convolution neural network to sense the spectrum occupation state was constructed.To mine abnormal spectrum data, neural network was used to automatically detect abnormal spectrum, such as fl uctuation noise fl oor, spectrum grass and large bandwidth.The spectrum parameter extraction method was explored.Considering the large propagation delay between the spectrum-sensing satellite and its gateway, a neural network was constructed to predicted the spectrum occupation state.The perception, anomaly, parameters and prediction results of satellite spectrum signal were visualized.The preliminary evaluation results showed that the designed satellite-spectrum intelligent mining technologies could not only improved the sensing ability of spectrum situation, but also eff ectively improved the utilization of spectrum resources.

Key words: spectrum sensing, parameters recognition, abnormal detection, spectrum situation

CLC Number:

Qiulin LYU, Xiaojin DING, Gengxin ZHANG. Intelligent Excavation Technologies for Satellite Spectrum Signals[J]. Space-Integrated-Ground Information Networks, 2022, 3(3): 30-36.

Figures/Tables 9

References 16

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