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

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

1.
(电子工程学院合肥 230037) ②(国防信息学院武汉 430000)

基金项目:

国家自然科学基金(61171170)

计量
- 文章访问数: 1381
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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

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

1.
(Electronic Engineering Institute, Hefei 230037, China)
2.
(National Defense Information Academy, Wuhan 430000, China)

Funds:

The National Natural Science Foundation of China (61171170)

摘要

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。
- 合成孔径雷达 /
- 双参数恒虚警检测 /
- 多假目标 /
- 间歇采样重复转发
Abstract: In order to destroy the detection performance of Constant False Alarm Rate (CFAR) detection system in SAR images, a new multiple false targets method based on intermittent sampling and periodic repeater jamming is proposed. The new method can solve the disadvantages of less false targets and lower jamming power utilization rate from traditional intermittent sampling direct repeater jamming. Then, the jamming performance of multiple false targets against Bi-Parameter CFAR (BP-CFAR) detection in SAR images is analyzed in details. The research result shows that multiple false targets can raise the detection threshold and weaken the detection performance of BP-CFAR. Finally, according to the characteristic of CFAR detection window, the application model of multiple jammers is established. The model can produce 2-D netted multiple false targets, so it can effectively guarantee enough false targets in detection window. Theoretical analysis and computer simulation justify the validity and the efficiency.
- SAR /
- Bi-Parameter Constant False Alarm Rate (BP-CFAR) /
- Multiple false targets /
- Intermittent sampling and periodic repeater

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参考文献(28)

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