Individual Target Recognition Method for Civil Aviation Aircraft

Abstract

The invention proposes a method for identifying individual targets of civil aviation airliners, aiming to provide a deep learning method with a high recognition rate. The present invention is realized through the following technical solutions: a convolutional neural network recognition system is formed by capturing aircraft communication signal modules, preparing data set modules, constructing neural network modules, training neural network modules, identifying communication signals and identifying aircraft modules to which communication signals belong, Among them, the capture aircraft communication signal module starts from the original pulse waveform of the aircraft itself, samples through the high-speed acquisition card, and saves the original intermediate frequency signal of ADS_B locally; The identification features of the communication signal are converted into image spatial structure features; the neural network module is constructed to evaluate the number of layers of the deep neural network according to the number of targets; the neural network module is trained to generate image samples based on the convolutional neural network algorithm for training; the identified signal is obtained .

Description

technical field [0001] The invention relates to a target recognition method that applies deep learning to the field of communication signal recognition, in particular to a method for individual target recognition of civil aviation passenger aircraft based on a deep convolutional neural network. Background technique [0002] Aircraft detection based on optical remote sensing images has always been a research hotspot in the field of target recognition. Airport and aircraft target recognition is a typical application in remote sensing data analysis. Target recognition is one of the core issues in the field of computer vision, and aircraft target recognition is an important application in the civilian field. Scholars at home and abroad have done a lot of research on target recognition. Each target recognition method has its own advantages and disadvantages, and has a certain scope of application. Image Preprocessing and Segmentation Image preprocessing is an essential link in ...

AI Technical Summary

Problems solved by technology

However, when detecting in an image, it is necessary to perform sliding window detection on different scales of the image, and using a deep learning structure for sliding window detection cannot achieve ideal efficiency.

There are two main problems in traditional target detection: one is that the region selection strategy based on the sliding window is not targeted, the time complexity is high, and the window is redundant; the other is that the manually designed features are not very robust to changes in diversity. sex

[0006] With the rapid development of modern science and technology, the space electromagnetic environment is becoming increasingly complex, noise interference, and the influence of channels on signals make it difficult for conventional identification methods and theories to adapt to actual needs, and cannot effectively identify communication signals accurately

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