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对数正态纹理距离相关性辅助的海杂波背景雷达目标检测方法

薛健 郭妍

薛健, 郭妍. 对数正态纹理距离相关性辅助的海杂波背景雷达目标检测方法[J]. 电子与信息学报. doi: 10.11999/JEIT240123
引用本文: 薛健, 郭妍. 对数正态纹理距离相关性辅助的海杂波背景雷达目标检测方法[J]. 电子与信息学报. doi: 10.11999/JEIT240123
XUE Jian, GUO Yan. Radar Target Detection Aided by Log-Normal Texture Range Correlation in Sea Clutter[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240123
Citation: XUE Jian, GUO Yan. Radar Target Detection Aided by Log-Normal Texture Range Correlation in Sea Clutter[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240123

对数正态纹理距离相关性辅助的海杂波背景雷达目标检测方法

doi: 10.11999/JEIT240123
基金项目: 国家自然科学基金(62201455),陕西省科学技术协会青年人才托举计划(20230112)
详细信息
    作者简介:

    薛健:男,副教授,研究方向为雷达杂波抑制、雷达目标检测分类识别等

    郭妍:女,硕士研究生,研究方向为雷达杂波特性感知及目标检测

    通讯作者:

    薛健 jxue@xupt.edu.cn

  • 中图分类号: TN959.72

Radar Target Detection Aided by Log-Normal Texture Range Correlation in Sea Clutter

Funds: The National Natural Science Foundation of China (62201455), The Young Talent Fund of Association for Science and Technology in Shaanxi, China (20230112)
  • 摘要: 传统的海杂波背景雷达目标自适应检测器通常假设杂波纹理在距离维上独立同分布,忽略了纹理在距离维的相关性信息。为了改善纹理距离相关海杂波环境下雷达目标自适应检测性能,该文首先将复合高斯海杂波的纹理分量建模为对数正态随机变量,然后基于广义似然比检验提出一种基于均匀对数正态纹理的广义似然比检测器。提出的雷达目标自适应检测器融合了纹理的先验分布知识及其在距离维的相关性信息。仿真和所用实测数据表明,相比与已有检测方法,所提方法对纹理距离相关海杂波背景下的雷达目标具有更高的检测概率。
  • 图  1  不同数量纹理辅助数据下检测器检测概率曲线

    图  2  不同参考单元数量下检测器检测概率曲线

    图  3  不同形状参数下检测器检测概率曲线

    图  4  实测海杂波数据功率图及纹理距离相关系数图

    图  5  基于CFC17_011.01的不同参考单元数量下检检测概率曲线

    图  6  基于TFA10_007.02的不同参考单元数量下检检测概率曲线

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出版历程
  • 收稿日期:  2024-02-29
  • 修回日期:  2024-06-24
  • 网络出版日期:  2024-06-27

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