Radar high-resolution range image target recognition method based on two-dimensional convolutional network

Abstract

The invention discloses a radar high-resolution range image target recognition method based on a two-dimensional convolutional network. Obtain the Q-type high-resolution range imaging data from the high-resolution radar echo, divide the Q-type high-resolution range imaging data into a training sample set and a test sample set, and then record the Q-type high-resolution range imaging data as the original data x; According to the original data x, calculate the short-time Fourier transformed data x""; set the two-dimensional convolutional neural network model, the two-dimensional convolutional neural network model includes five layers, and then use the training sample set and the short-term The data x"" after Fourier transform is used to construct the two-dimensional convolutional neural network model to obtain a trained convolutional neural network; use the test sample set to perform target recognition on the trained convolutional neural network, and obtain a two-dimensional convolutional neural network based on Radar high-resolution range image target recognition results with 3D convolutional network.

Description

technical field [0001] The invention belongs to the technical field of radar, in particular to a radar high-resolution range image target recognition method based on a two-dimensional convolutional network, which is suitable for target recognition on high-resolution range image data, and for environment detection and track tracking. Background technique [0002] The range resolution of the radar is proportional to the received pulse width after the matched filter, and the range unit length of the radar transmitted signal satisfies: △R is the distance unit length of the radar transmission signal, c is the speed of light, τ is the matching received pulse width, and B is the bandwidth of the radar transmission signal; a large radar transmission signal bandwidth provides a high range resolution (HRR). In fact, the distance resolution of the radar is relative to the observation target. When the size of the observed target along the radar line of sight is L, if L<<△R, the c...

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Problems solved by technology

[0005] At present, many target recognition methods for high-resolution range image data have been developed. For example, the more traditional support vector machine can be directly used to directly classify the target, or the feature extraction method based on the restricted Boltzmann machine can be used to first extract the data Projecting into a high-dimensional space and then classifying the data with a classifier; but the above methods only use the time domain characteristics of the signal, and the target recognition accuracy is not high

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