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- Title
Radio Station Background Noise Detection Based on Time-Frequency Domain Electromagnetic Spectrum.
- Authors
Wang, Fuzhai; Chen, Zhenjia; Chen, Xuanfeng; Chen, Ting
- Abstract
The electromagnetic spectrum resource is one of the important national resources. It is a physical channel for wireless communication between ships and between ships and radio stations. Good communication quality must be guaranteed, so it is urgent to monitor and analyze the environmental background noise of the electromagnetic spectrum. The estimation of the radio frequency signal coverage in the target area during the monitoring process is of great significance to the study of electromagnetic spectrum resource management and control. This paper estimates the upper envelope and lower envelope of the background noise of the target frequency band based on the electromagnetic spectrum data in the time-frequency domain and combines the forward difference algorithm to estimate the background noise envelope curve. We set up fixed detection nodes and mobile detection nodes for specific construction areas and collect time-frequency spectrum data of electromagnetic spectrum in multiple locations. The instantaneous frequency spectrum and the collected data of a specific frequency point are compared, and it is difficult to judge whether there is a valid signal. This paper is based on the time-frequency domain electromagnetic spectrum data in the construction area of the project and estimates the background noise of the coast station frequency band in the current environment. It is based on the energy gradient estimation of the time-frequency domain spectrum, and the effective signal of the target frequency band is obtained and combines the noise envelope and the effective signal location to improve the estimation result of the background noise envelope. The experimental results show that the background noise estimation algorithm can reflect the changes in the noise floor of different target frequency bands.
- Subjects
ELECTROMAGNETIC spectrum; RADIO stations; SIGNAL frequency estimation; ELECTROMAGNETIC noise; NOISE
- Publication
Wireless Communications & Mobile Computing, 2021, p1
- ISSN
1530-8669
- Publication type
Article
- DOI
10.1155/2021/5991767