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基于海杂波先验知识的雷达目标自适应Rao检测

薛健 朱圆玲 潘美艳

薛健, 朱圆玲, 潘美艳. 基于海杂波先验知识的雷达目标自适应Rao检测[J]. 电子与信息学报, 2023, 45(11): 3839-3847. doi: 10.11999/JEIT221216
引用本文: 薛健, 朱圆玲, 潘美艳. 基于海杂波先验知识的雷达目标自适应Rao检测[J]. 电子与信息学报, 2023, 45(11): 3839-3847. doi: 10.11999/JEIT221216
XUE Jian, ZHU Yuanling, PAN Meiyan. Adaptive Rao Detection of Radar Targets Based on the Priori-Knowledge of Sea Clutter[J]. Journal of Electronics & Information Technology, 2023, 45(11): 3839-3847. doi: 10.11999/JEIT221216
Citation: XUE Jian, ZHU Yuanling, PAN Meiyan. Adaptive Rao Detection of Radar Targets Based on the Priori-Knowledge of Sea Clutter[J]. Journal of Electronics & Information Technology, 2023, 45(11): 3839-3847. doi: 10.11999/JEIT221216

基于海杂波先验知识的雷达目标自适应Rao检测

doi: 10.11999/JEIT221216
基金项目: 国家自然科学基金 (62201455),陕西省教育厅科研计划 (22JK0566)
详细信息
    作者简介:

    薛健:男,副教授,研究方向为地海杂波抑制、雷达目标检测等

    朱圆玲:女,硕士生,研究方向为雷达目标检测

    潘美艳:女,工程师,研究方向为杂波智能抑制、雷达目标识别等

    通讯作者:

    薛健 jxue@xupt.edu.cn

  • 中图分类号: TN957.51

Adaptive Rao Detection of Radar Targets Based on the Priori-Knowledge of Sea Clutter

Funds: The National Natural Science Foundation of China (62201455), The Scientific Research Program Funded by Shaanxi Provincial Education Department (22JK0566)
  • 摘要: 针对非高斯非均匀海杂波背景下雷达海面目标检测性能改善的问题,该文基于海杂波的先验知识提出了一种自适应Rao雷达目标检测方法。首先将海杂波的纹理分量和散斑协方差矩阵分别建模为逆高斯随机变量和逆复Wishart分布的随机矩阵,然后基于Rao检验和未知参数估计,设计了一种匹配海杂波特性的雷达目标自适应Rao检测方法。通过理论推导和实验验证了所提检测方法对杂波平均功率和协方差均值矩阵具有恒虚警特性。仿真数据和实测数据实验结果表明,在非高斯非均匀环境下所提检测方法优于已有检测方法,并且具有良好的鲁棒性。
  • 图  1  不同形状参数下检测器性能对比图

    图  2  不同参考单元数量下检测器性能对比图

    图  3  不同自由度参数下KA-RAO的检测概率曲线图

    图  4  目标归一化多普勒频率失配对提出检测器性能的影响

    图  5  实测海杂波数据幅度特性分析及检测器的检测概率曲线图

    图  6  实测海杂波数据TFC15-005幅度特性分析及检测器的检测概率曲线图

    图  7  KA-RAO检测器的虚警概率曲线

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出版历程
  • 收稿日期:  2022-09-19
  • 修回日期:  2022-10-30
  • 网络出版日期:  2022-11-03
  • 刊出日期:  2023-11-28

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