A 900 MHz Frequency Band Interference Automatic Localization Method Based on Signal Feature Analysis and Machine Learning Technology
With the rapid development of wireless communication,spectrum resources are becoming increasingly scarce,and various interference problems are becoming increasingly serious.Among them,the interference problem in the 900 MHz frequency band is particularly prominent.This article proposes a 900 MHz frequency band interference automatic localization method based on signal feature analysis and machine learning technology.By analyzing the spectrum,time domain,modulation and other characteristics of interference signals,a feature library of interference signals is established,and machine learning algorithms are used to classify and locate signals.The experimental results show that the method proposed in this paper has high interference localization accuracy and stability,and can effectively improve the closed-loop efficiency of spectrum resource utilization.
900 MHz frequency bandinterference automatic positioningsignal feature analysismachine learning
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