Through-wall radar imaging method based on convolutional neural network

Abstract

The invention discloses a through-wall radar imaging method based on a convolutional neural network. The method comprises the steps of generating training data which comprise two parts of input echodata and output reference data; the convolutional neural network being a multi-layer network and comprising two activation functions, namely, designing a convolutional layer activation function in a convolutional layer, and designing an output layer activation function in an output layer; constructing a loss function according to the output reference data and the activation function; constructinga convolutional neural network structure for through-wall imaging through the training data, the activation function and the loss function in combination with the convolutional neural network technology; and inputting the training data into the convolutional neural network structure, training the convolutional neural network structure, then inputting echo data to be imaged, and carrying out an imaging test. According to the method, the deep learning network is introduced into the imaging process instead of image post-processing, so that the imaging quality is improved, and grating lobes are suppressed.

Description

Technical field [0001] The invention relates to the technical field of through-wall radar imaging, in particular to a through-wall radar imaging method based on a convolutional neural network. Background technique [0002] In the field of through-wall radar technology, traditional imaging algorithms, such as backward projection algorithms, can be used to obtain high-resolution target images. However, due to the existence of the wall, the electromagnetic wave propagation path changes, the signal energy is attenuated seriously, and there is strong wall clutter in the echo signal. In addition, the imaging algorithm of the traditional imaging algorithm will produce strong energy during the process of energy accumulation. The strong grating lobes seriously affect the imaging quality, causing the target to be submerged in the strong grating lobes, which will cause difficulties in subsequent target detection and recognition, and increase the false alarm rate of target detection. Summar...

AI Technical Summary

Problems solved by technology

However, due to the existence of the wall, the electromagnetic wave propagation path changes, the signal energy attenuation is serious, and there is strong wall clutter in the echo signal. In addition, the imaging algorithm of the traditional imaging algorithm will generate strong The grating lobe effect, the strong grating lobe seriously affects the imaging quality, causing the target to be submerged in the strong grating lobe, which brings difficulties to the subsequent target detection and recognition, and increases the false alarm rate of target detection

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