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有源欺骗干扰环境下的DOA估计

王珊珊 刘峥 谢荣 冉磊

王珊珊, 刘峥, 谢荣, 冉磊. 有源欺骗干扰环境下的DOA估计[J]. 电子与信息学报, 2019, 41(5): 1040-1046. doi: 10.11999/JEIT180488
引用本文: 王珊珊, 刘峥, 谢荣, 冉磊. 有源欺骗干扰环境下的DOA估计[J]. 电子与信息学报, 2019, 41(5): 1040-1046. doi: 10.11999/JEIT180488
Shanshan WANG, Zheng LIU, Rong XIE, Lei RAN. DOA Estimation Under Active Deception Jamming Environment[J]. Journal of Electronics & Information Technology, 2019, 41(5): 1040-1046. doi: 10.11999/JEIT180488
Citation: Shanshan WANG, Zheng LIU, Rong XIE, Lei RAN. DOA Estimation Under Active Deception Jamming Environment[J]. Journal of Electronics & Information Technology, 2019, 41(5): 1040-1046. doi: 10.11999/JEIT180488

有源欺骗干扰环境下的DOA估计

doi: 10.11999/JEIT180488
基金项目: 博士后创新人才支持计划(BX20180240)
详细信息
    作者简介:

    王珊珊:女,1996年生,博士生,研究方向为认知雷达信号处理技术

    刘峥:男,1964年生,教授,博士生导师,研究方向为雷达信号处理的理论与系统设计、雷达精确制导技术、多传感器信息融合等

    谢荣:男,1982年生,副教授,研究方向为阵列信号处理、雷达天线理论等

    冉磊:男,1989年生,博士后,研究方向为雷达成像技术

    通讯作者:

    刘峥 lz@xidian.edu.cn

  • 中图分类号: TN911.7

DOA Estimation Under Active Deception Jamming Environment

Funds: The National Postdoctoral Program for Inno-vative Talents(BX20180240)
  • 摘要:

    针对有源欺骗干扰环境下基于小样本的DOA估计问题,该文提出自适应极化滤波(APF)联合块稀疏贝叶斯学习(BSBL)算法的DOA估计方法。首先,通过APF抑制干扰能量,提高信干比。然后,建立有源欺骗干扰环境下的稀疏贝叶斯模型,基于相邻快拍相关性,利用BSBL算法进行DOA估计。仿真和实测数据处理结果表明,所提方法降低了干扰对BSBL算法的影响,且与APF联合子空间类算法或最大似然算法(ML)相比,具有更高的空间分辨率和DOA估计精度。

  • 图  1  APF联合BSBL算法的测角性能分析

    图  2  样本数为5时DOA估计结果图

    图  3  干扰场景图

    图  4  干扰和弹载雷达方位角和仰角分布图

    图  5  实测数据测角均方根误差图

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出版历程
  • 收稿日期:  2018-05-21
  • 修回日期:  2019-01-08
  • 网络出版日期:  2019-01-25
  • 刊出日期:  2019-05-01

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