Rf Wireless Signal Detection And Recognition Based On Wavelet Transform

Radio communications technology has been developed rapidly and occupied pivotal position as an significant means in information communication and connection, but its core resources of the radio spectrum resources have been increasingly strained. Detection and identification technology is an important means of radio signals to achieve effective control of radio spectrum. By detecting the radio channel RF signal and screening the legality of signals, it can prevent the illegal occupation of spectrum and ensure the orderly work of wireless communication system. In addition, the detection and identification of the RF signal is also widely applied in cognitive radio, electronic reconnaissance and countermeasures and other fields.This dissertation mainly researches the RF wireless signal detection and identification technology. Firstly, in terms of signal detection, the detection of the energy spectrum based on wavelet transform method is proposed. Then, by detecting the existence of signals and estimating the signal parameter, wavelet transform is used to eliminate the noise, and then the analog and digital modulation signals are recognized through signal parameters. Finally, on the basis of signal detection and identification, match the recognition results with the knowledge base to identify the final results. Finally, the above content is simulated and verified.From the simulation results of the probability of detection and recognition rate, the detection and identification algorithm based on wavelet transform that proposed in this dissertation has smaller and better recognition results. The anti-noise performance of this algorithm is also improved comparing with other recognition algorithm. Besides, the method of matching knowledge base is simple and easy to implement.