A UAV signal recognition and detection method based on improved ac-wgans

Abstract

A kind of unmanned aerial vehicle signal identification detection method based on improved AC-WGANs, comprises the following steps: S1, collect the radio frequency signal of the wireless signal physical layer preamble of unmanned aerial vehicle, carry out starting point detection, extract the radio frequency signal after bandpass filtering Envelope signal; S2, the envelope signal obtained after preprocessing is based on the improved segmented PCA data dimension reduction algorithm for dimension reduction, and the signal after dimension reduction is divided into test signal and training signal; S3, using AC-WGANs recognition detection algorithm and Combine the training signal to train the generation model and the discriminant model, and identify the test signal according to the discriminant model; S4. According to the identification result, improve the AC-WGANs identification and detection algorithm. The invention adopts the improved segmented PCA data dimensionality reduction method to reduce the dimensionality of the wireless signal, better retains the corresponding information, and reduces the space complexity of the algorithm.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to the preamble-related modulation and demodulation methods of IEEE 802.11b and IEEE 802.11n wireless communication protocols, and in particular to the UAV signal recognition and detection method based on improved AC-WGANs. Background technique [0002] With the development of science and technology, unmanned aircraft systems (UAVs) play an increasingly important role in smart cities, such as transporting goods and commodities in the express delivery industry, providing mobile hotspots for broadband wireless access, and Keep watch and safe etc. However, it may also be used by unscrupulous organizations to attack infrastructure, violate personal privacy, and conduct physical and network attacks on the public. Therefore, detecting, tracking, monitoring, and identifying and detecting illegal drones is critical to public safety. [0003] Existing UAV discovery technology includ...

AI Technical Summary

Problems solved by technology

However, at present, there are relatively few technologies for identifying UAV signals based on the difference of the RF signal waveform characteristic information of the UAV physical preamble.

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