| As a technology between signal detection and signal demodulation,signal modulation recognition technology plays an important role in the field of wireless communication.In the signal transmission process,only when the modulation pattern of the signal is recognized,the signal receiver can correctly receive the sent information.Before the automatic identification technology of modulated signals was applied to engineering,some professionally trained personnel judged the information such as spectrum changes,timedomain waveforms and typical characteristics of the received signal.This manual method is costly and its recognition rate is low,so the research on the automatic recognition technology of signal modulation is very meaningful.In the research on signal recognition technology,many researches only analyze and simulate the signal recognition algorithm theoretically,and do not design and implement the algorithm based on engineering implementation.This article mainly researches the automatic recognition technology of modulation mode in the field of radio signal monitoring from three aspects: design theory,software simulation and hardware platform realization.First of all,this paper conducts theoretical simulation through MATLAB software.The instantaneous characteristic parameters,high-order cumulant parameters and spectral correlation characteristic parameters of the signal are selected as the key research.Realize the recognition simulation of each modulation signal through instantaneous feature parameters,spectral related feature parameters,and high-order cumulant parameters.According to the simulation results of each feature parameter,the corresponding classifier is set to analyze the recognition rate,and the three features are realized based on hardware.The parameters are analyzed,and the most suitable characteristic parameters are selected for hardware realization.Secondly,this paper builds the required digital signal hardware processing platform according to the designed identification parameters and identification algorithm flow.According to the functional requirements of the signal processing unit,the overall design of the hardware processing platform is carried out,including the core device selection,hardware platform architecture and overall scheme planning;Finally,according to the designed algorithm realization process,write the signal modulation method identification algorithm related code.The main functions of the code is to set the signal acquisition unit,clock unit and the digital signal processing unit,and the code required to upload the processed data to the upper computer,and then test the algorithm function on the hardware platform to complete the digital signal hardware processing platform for the collection and processing of radio frequency signals.Based on algorithm simulation,firstly,this paper demonstrates the feasibility of the signal modulation recognition algorithm,and selects the characteristic parameters with the most recognition types and the highest recognition rate among the three methods for hardware realization through comparative analysis;Then,a hardware realization platform is built.The hardware platform is used to simulate the actual engineering situation and realize the identification of nine commonly used modulation signals of 2ASK,4ASK,2FSK,4FSK,2PSK,4PSK,16 QAM,32QAM and 64 QAM.Finally,the recognition rate of the selected characteristic parameters is higher than 95% when the signal-to-noise ratio is between 0d B and 20 d B,and the remaining resource occupancy rate of the XCVU13P-2FLGA2577 I chip excluding the high-speed serial transceiver is less than 30%.The static power consumption of the digital signal algorithm processing system is less than 2W,dynamic power consumption is lower than 3W. |
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