With the rapid development of modern communication technology, the communication network environment becomes more and more complex. Aiming to meet the requirement of identifying the wireless signal, which is located in the same frequency band of WCDMA defining as an intelligent monitoring method based on spectral correlation has been identified effectively. Firstly, the power spectrum of the frequency band is used for the identification of the initial alignment, then spectrum correlation method is used to extract the feature of the strong anti-interference. By analyzing and extracting characteristics of the received signal, our method presents an efficient monitoring framework which is robust to identify the WCDMA signal. The experimental results show that these features can maintain a certain stability when low SNR and multipath channel change. Experimental results validate the reliability and validity of our method.
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