Novel Method for Blind Recognition of Communication Signal Based on Time-frequency Analysis and Neural Network(WSANE2006)

概要

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In this paper, we present a novel method for blind recognition of communication signal to solve the problem of the signal classification and recognition in communication reconnaissance. In this method, we use time-frequency analysis technology to extract the feature of the signals, and the neural network (backwards propagation network) to classify and recognize the signals. The simulation results show that in case of no noise, blind recognition method proposed in this paper can correctly recognize more than 85% signals averagely and recognition ratio of PSK signals can reach up to 98%. If the ratio of signal to noise is high, the average recognition ratio of the signals can also reach about 85%. Moreover, we need not know any prior information of the signals to recognize any signals within broad frequency band and we need not perform carrier frequency synchronization and estimate the parameter of the signal. Therefore, this method has practical application in communication reconnaissance and breaks a new path for blind reconnaissance of the communication signal.
一般社団法人電子情報通信学会の論文
2006-04-03