A Survey of UAV Radio Frequency Fingerprint Recognition Methods
In recent years,drones have been widely used in various fields,but the increasing drones also brings a series of privacy and security issues.Therefore,the detection and management of drones has become very important,and the method of identifying drones through radio frequency fingerprints has made great progress.On the basis of a large number of research results at home and abroad,the various steps of the UAV radio frequency fingerprint system are discussed in depth.Firstly,the advantages and disadvantages of various UAV identification technologies are analyzed,and the communication mode of UAVs and the formation mechanism and characteristics of radio frequency fingerprints are elaborated.Then,according to the four stages of signal collection,preprocessing,feature extraction and classification recognition,the related technologies of the UAV radio frequency fingerprint system are systematically sorted out,and the performance evaluation method of the UAV radio frequency fingerprint system is briefly discussed.The current situation of UAV radio frequency fingerprint research is analyzed and prospected,including the lack of RF fingerprint datasets,the stability of radio frequency fingerprints,the uniqueness of radio frequency fingerprints,and the exploration of deep learning in the field of radio frequency fingerpri nt applications.Finally,a full-text summary is given.
UAVradio frequency fingerprintpreprocessingfeature extractionclassification recognition
万方数据
维普
