Research on ship identification based on VGG network and millimeter wave radar

Xiaodong Wei; Zhichun Wang

doi:10.1117/12.2686259

28 July 2023 Research on ship identification based on VGG network and millimeter wave radar

Xiaodong Wei, Zhichun Wang

Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 127563K (2023) https://doi.org/10.1117/12.2686259
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China

Abstract

Aiming at the problem that the rate of ship identification is still low, a method of ship identification on river surface is proposed. In this paper, MATLAB software is first used to simulate the IF signal generated by millimeter-wave radar. Then, by setting the reflection coefficient of steel plate (ship), water (water surface), sand (river bank) and the relative distance of radar, the simulation experiment is carried out to obtain the generated time domain diagram and energy diagram. Then, the Fourier transform of the signal is carried out by MATLAB software to obtain its range spectrum diagram. Then the obtained time domain diagram, energy diagram and frequency domain diagram are processed through a series of images and input into the neural network for classification learning. Then, the experimental test was carried out through the millimeter wave radar signal acquisition plate with one round and four rounds of collection. By collecting the characteristic spectra of steel plate, sand and water at different distances and then classifying them, it was found that the recognition accuracy in the energy and time domain could reach 95%, effectively classifying and recognizing the three substances: steel plate (ship), water (water surface) and sand (river bank).

Citation Download Citation

Xiaodong Wei and Zhichun Wang "Research on ship identification based on VGG network and millimeter wave radar", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 127563K (28 July 2023); https://doi.org/10.1117/12.2686259

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