Ground radar automatic target classification and recognition method based on one-dimensional convolutional neural network

Abstract

The invention discloses a ground radar automatic target classification and recognition method based on a one-dimensional convolutional neural network. The method comprises the following steps: preprocessing radar human and vehicle echo target sample data; obtaining a time domain echo signal, a power spectrum and a power conversion power spectrum, processing the preprocessed feature vector by usingan auto-encoder, constructing a one-dimensional convolutional neural network (1D-CNN) structure, and optimizing hyper-parameters of the convolutional neural network structure by using a Bayesian hyper-parameter optimization method. And inputting the coded data into a one-dimensional convolutional neural network, and performing target classification and recognition through a softmax classifier toobtain a classification and recognition result of personnel and vehicle samples. According to the method, the target classification and recognition function can be efficiently and stably completed, the calculation speed is high, implementation is easy, the network structure is simplified, the parameter calculation scale is reduced, and the method has excellent recognition accuracy for target classification and recognition of the low-resolution ground radar.

Description

technical field [0001] The invention belongs to the technical field of radar digital signal processing, in particular to an automatic target classification and recognition method for ground radar based on a one-dimensional convolutional neural network. Background technique [0002] With the rapid development of electronic technology, the target position and velocity information obtained by traditional radar can no longer meet the needs of battlefield situation estimation. People hope to further understand the target information to judge the target's attribute of friend or foe, which will greatly improve the efficiency of striking the enemy. In this context, the emergence of radar target classification and recognition technology has emerged. Therefore, the development of target classification and recognition technology has important significance and application value in radar system. [0003] Radar automatic target classification and recognition technology is based on the pr...

AI Technical Summary

Problems solved by technology

Although this method has achieved a good classification effect, according to the resource requirements required for image processing and the cost and volume limitations of low-resolution radar, it will not be able to guarantee the real-time processing in actual engineering

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