How to precisely detect electromagnetic spectrum anomaly is a major challenge for radio monitoring and electromagnetic environment evaluation

especially in the condition of complex electromagnetic environment and lack of pre-knowledge information about frequency use.Based on time series analysis theory

a timing model which presents the correlation between the previous and the following sequence of spectrum occupancy

is built to help us realize the autonomous identification and robust estimation of typical spectrum anomaly.The analysis results indicate that

without actually requiring pre-knowledge of frequency database and radio monitoring historical data support

this method can effectively identify the types of spectrum anomaly

occurrence time

anomaly effect intension and other relative information.Furthermore

through the robust estimation of spectrum occupancy model

we can significantly improve the model's fitting performance and raise the adaptability and robustness of the model to external interferences.