Individual target recognition method of civil aviation passenger plane

Abstract

The invention provides an individual target recognition method of a civil aviation passenger plane, aiming at providing a deep learning method with a high recognition rate. The invention is realized by the following technical scheme: a convolutional neural network identification system is formed by capturing an aircraft communication signal module, preparing a dataset module, constructing a neuralnetwork module, training the neural network module, identifying a communication signal and identifying an aircraft to which the communication signal belongs, wherein capturing the aircraft communication signal module starts from the aircraft original pulse waveform itself and samples the ADS_B original intermediate frequency signal through a high-speed acquisition card to save the ADS_B originalintermediate frequency signal to the local area; preparing the data set module slices the collected communication signals into images, and converts the recognition features of ADS_B communication signals into the spatial structure features of images; constructing the neural network module is to evaluate the number of layers of depth convolution through the network according to the number of targets; training the neural network module generates image samples based on a convolutional neural network algorithm for training. Therefore, an 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

Images