Abstract
AbstractIn traditional communication signal acquisition, the effect of weak signal recognition is poor. Therefore, a weak signal acquisition and recognition method for mobile communication based on information fusion is designed. The mobile communication signal location model is established; the TDOA algorithm is used to locate the mobile communication signal; the receiver is used to capture the mobile communication signal. M-QAM modulation technology is used to modulate the parameters of mobile communication signal transmission mode, and the feature classification model of mobile communication signal is established. The modulation types of mobile communication signals are identified by using cyclic spectrum, and the simulation is carried out. The modulation types are classified by using mobile communication signal feature classifier and information fusion technology, and the recognition of mobile communication signals is completed. Experimental results show that the recognition rate of this method is 24% higher than that of traditional method 1 and 34% higher than that of traditional method 2. This method is based on information fusion. The information is fused by combining classifiers to classify modulation types, which significantly improves the recognition accuracy.KeywordsInformation fusionMobile communicationWeak signal acquisitionRecognition
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