A wireless transmitter identification method based on multi-core dual-channel network

Abstract

The invention discloses a wireless transmitter identification method based on a multi-core dual-channel network, which belongs to the field of electromagnetics; specifically, firstly, after the power of the modulated signal is amplified by the transmitter, it is transmitted to the receiver for sampling and reception, and the received signal is counted The cyclic spectrum is obtained by feature processing, and the peak density value in the cyclic spectrum is extracted as a feature; then, all the eigenvalues ​​are input into the fully connected multi-core dual-way network module, and the representative features of each transmitter are learned from the cyclic spectrum, and the obtained The results are merged and fused; after training the multi-core two-way network model, the fused feature results are tested to obtain the normalized feature vector corresponding to each test feature; and the corresponding probability value of each feature is obtained through the softmax classifier , the wireless transmitter with the highest probability value is selected as the final wireless transmitter to be identified and classified. The invention not only simplifies the complexity of calculation, but also reduces the unsatisfactory classification effect caused by noise interference.

Description

technical field [0001] The invention belongs to the electromagnetic field and relates to microwave radio frequency technology, in particular to a wireless transmitter identification method based on a multi-core dual-channel network Background technique [0002] In terms of wireless communication networks, there are a large number of illegal users involved, and the identity marks of the software layer are easily tampered with, making it difficult to identify the access of some illegal devices. At present, the traditional network security and other methods further lock the user's identity, which can greatly improve the security of the communication network; therefore, the wireless transmitter identification technology based on the inherent attributes of the hardware layer of the access device transmitter came into being. This technology uses methods such as cyclic spectrum and neural network to analyze the nonlinear characteristics of the wireless transmitter on the hardware, ...

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Problems solved by technology

[0006] However, the above document simulates different transmitters based on adding phase noise to the signal at different signal-to-noise ratios, extracts features based on bispectral analysis, uses convolutional neural network to train it to identify different transmitters, and adds phase to the signal The noise method simulates different transmitter signals, and cannot describe the collection of wireless transmitters more comprehensively, resulting in limited actual recognition results.

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