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Terrain Echo Signal Enhancement Technology of Marine Radar Based on Generalized Filtering

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Advanced Hybrid Information Processing (ADHIP 2023)

Abstract

In order to solve the problem that the terrain echo signal of marine radar is affected by noise during transmission, which leads to poor enhancement effect, a terrain echo signal enhancement technology of marine radar based on generalized filtering is proposed. Design the graphic processing pipeline of programmable GPU, and draw the terrain echo image of marine radar. The generalized weighted median filter and Wiener filter are used to process high and low frequency signals to avoid some useful signals being filtered out. According to the high and low frequency signal processing results of the echo, the polynomial fitting sliding window is used to obtain the least square error fitting results to smooth the radar echo data. The echo signal enhancement structure is constructed, and the echo signal gain is processed to achieve the purpose of pseudo signal attenuation. Call the OpenGL read pixel function, and complete the echo signal enhancement processing according to the linear mapping relationship between the echo map and the coordinates of the DEM when processing in the GPU segment. From the experimental results, it can be seen that the echo gain effect of this technology is actually consistent, and there is only a maximum error of 1 dB between the echo signal strength and the actual data.

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Correspondence to Jianming Wang .

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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wang, J. (2024). Terrain Echo Signal Enhancement Technology of Marine Radar Based on Generalized Filtering. In: Yun, L., Han, J., Han, Y. (eds) Advanced Hybrid Information Processing. ADHIP 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 548. Springer, Cham. https://doi.org/10.1007/978-3-031-50546-1_7

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  • DOI: https://doi.org/10.1007/978-3-031-50546-1_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-50545-4

  • Online ISBN: 978-3-031-50546-1

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