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对SAR图像恒虚警检测的多假目标干扰研究

房明星 毕大平 沈爱国 刘乾

房明星, 毕大平, 沈爱国, 刘乾. 对SAR图像恒虚警检测的多假目标干扰研究[J]. 电子与信息学报, 2017, 39(4): 973-980. doi: 10.11999/JEIT160633
引用本文: 房明星, 毕大平, 沈爱国, 刘乾. 对SAR图像恒虚警检测的多假目标干扰研究[J]. 电子与信息学报, 2017, 39(4): 973-980. doi: 10.11999/JEIT160633
FANG Mingxing, BI Daping, SHEN Aiguo, LIU Qian. Jamming Technique of Multiple False Targets Against CFAR Detection in SAR Images[J]. Journal of Electronics & Information Technology, 2017, 39(4): 973-980. doi: 10.11999/JEIT160633
Citation: FANG Mingxing, BI Daping, SHEN Aiguo, LIU Qian. Jamming Technique of Multiple False Targets Against CFAR Detection in SAR Images[J]. Journal of Electronics & Information Technology, 2017, 39(4): 973-980. doi: 10.11999/JEIT160633

对SAR图像恒虚警检测的多假目标干扰研究

doi: 10.11999/JEIT160633
基金项目: 

国家自然科学基金(61171170)

Jamming Technique of Multiple False Targets Against CFAR Detection in SAR Images

Funds: 

The National Natural Science Foundation of China (61171170)

  • 摘要: 为有效干扰SAR图像CFAR检测系统,该文提出基于间歇采样重复转发的SAR多假目标干扰方法,解决了传统间歇采样直接转发干扰所形成的假目标少、干扰功率利用率低的缺点;在此基础上,着重分析了多假目标干扰对SAR图像双参数CFAR检测性能的影响。研究结果表明多假目标干扰在提高检测门限的同时,有效降低了双参数CFAR的检测性能。最后针对双参数CFAR背景窗口特点,采用多部分布式干扰机建立了2维网状多假目标干扰应用模型,有效保证了背景窗口中假目标数量。理论分析和仿真实验验证了该干扰方法的可行性和有效性。
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  • 被引次数: 0
出版历程
  • 收稿日期:  2016-06-15
  • 修回日期:  2016-11-02
  • 刊出日期:  2017-04-19

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