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.

Highlights

  • The electromagnetic spectrum resource is a nonrenewable national resource

  • The accurate estimation of background noise is one of the important indicators to improve the accuracy of spectrum sensing. [16] combined time-frequency domain electromagnetic spectrum data to solve the problem of accurately modeling the spectrum occupancy patterns of real radio communication systems, which is an important aspect of cognitive radio (CR) network research. [17] studied the spatiotemporal opportunity detection problem of spectrum heterogeneous cognitive radio network

  • In order to calculate the background noise envelope of the target frequency band in the current environment, we propose to estimate the lower envelope of the background noise with the minimum hold method of the electromagnetic spectrum in the time-frequency domain and estimate the upper envelope of the background noise with the maximum hold method of the electromagnetic spectrum in the time-frequency domain

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Summary

Introduction

The electromagnetic spectrum resource is a nonrenewable national resource. Reasonable management and control of spectrum resources is the basic guarantee for wireless communication services and security. The safety management of maritime and ship traffic is important, and maritime communication services are inseparable from the support of electromagnetic spectrum resources. In order to ensure the safety of ship traffic and meet the everincreasing demand for maritime communications, maritime radio plays a very critical role. The wireless walkie-talkies that carry out wireless communication between the ship on the sea and the shore are called marine wireless walkietalkies. The background noise detection of the radio station is to ensure the communication quality between the receiving station and the sending station. The estimated results play a vital role in studying how to improve the communication quality in the sea and on the shore and can effectively improve the safety of maritime navigation

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Electromagnetic Spectrum Detection Based on Time-Frequency Domain
Detection and Analysis
Findings
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