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Analysis of UHF-band sea clutter reflectivity at low grazing angles in offshore waters of the Yellow Sea

机译:黄海近海水域低放牧角度的UHF频段海杂波反射率分析

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摘要

Reflectivity is an important characteristic of sea clutter that depends on the parameters of the radar and the environment. This paper presents reflectivity measurements of UHF-band horizontal polarized sea clutter based upon data collected in the offshore waters of the Yellow Sea of China at low grazing angles. During the experiment, the oceanic and meteorological conditions were recorded by the Datawell Waverider 4 and Lufft WS700-UMB on the sea surface. The factors that affect the reflectivity acquisition are analysed and the selective median filtering method in average Doppler power spectrum is presented to remove the effect of ground clutter from the sidelobes of the antenna beam pattern and the normalized reflectivity of the sea surface is computed. The applicability of the four classical reflectivity empirical models to the datasets is analysed. The results show that the Hybrid (HYB) and Technology Service Corporation (TSC) models are suitable while the Georgia Institute of Technology (GIT) and Naval Research Laboratory (NRL) models are unsuitable for the UHF-band horizontal polarized sea clutter in the offshore waters of the Yellow Sea of China.
机译:反射率是海杂波的重要特征,其取决于雷达和环境的参数。本文介绍了基于中国黄海的近海水平的数据在低放牧角度的数据基于UHF频带水平极化海洋杂波的反射率测量。在实验过程中,DataWell Waverider 4和海面上的Lufft WS700-UMB记录了海洋和气象状况。分析了影响反射率采集的因素,并且呈现平均多普勒功率谱中的选择性中值滤波方法以除去地面杂波从天线束图案的侧面的效果,并且计算海面的归一化反射率。分析了四种经典反射率的实证模型对数据集的适用性。结果表明,混合动力(HYB)和技术服务公司(TSC)模型是合适的,而佐治亚理工学院(GIT)和海军研究实验室(NRL)模型则不适合海上的UHF频段水平偏振海杂波中国黄海的水。

著录项

  • 来源
    《Oceanographic Literature Review》 |2020年第9期|2057-2057|共1页
  • 作者

    X. Li; P. Shui; X. Xia;

  • 作者单位

    National Laboratory of Radar Signal Processing Xidian University Xian 710071 China;

    National Laboratory of Radar Signal Processing Xidian University Xian 710071 China;

    National Laboratory of Radar Signal Processing Xidian University Xian 710071 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 22:54:14

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