基于奇异谱分析的抗数字射频存储距离波门拖引干扰

卢云龙; 李明; 陈洪猛; 王泽玉; 左磊

doi:10.11999/JEIT150550

基于奇异谱分析的抗数字射频存储距离波门拖引干扰

doi: 10.11999/JEIT150550

基金项目:

国家自然科学基金(61271297, 61272281, 61301284)，博士学科点科研专项基金(20110203110001)

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- 被引次数: 0
出版历程
- 收稿日期: 2015-05-11
- 修回日期: 2015-09-11
- 刊出日期: 2016-03-19

Countering DRFM Range Gate Pull-off Jamming Based on Singular Spectrum Analysis

Funds:

The National Natural Science Foundation of China (61271297, 61272281, 61301284), The Specialized Research Fund for the Doctoral Program of Higher Education (20110203110001)

摘要

摘要: 针对基于数字射频存储(DRFM)技术的转发式欺骗干扰难以检测和抑制问题，该文根据DRFM的延时量化会导致干扰信号产生细微的中心频率频移及谐波分量寄生的特性，提出一种基于奇异谱分析(SSA)的抗距离波门拖引干扰方法。该方法首先提取干扰信号谐波分量与目标回波经SSA分解后奇异值能量的分布差异特征，实现对有源欺骗干扰的检测，然后依据干扰中心频率频移特性，通过划分合适的奇异值子空间重构目标信号，实现对欺骗干扰的抑制。该方法不需要估计噪声参数，在干扰检测阶段具有恒虚警特性。Monte Carlo仿真结果验证了该方法的有效性。
- 抗干扰 /
- 距离波门拖引干扰 /
- 奇异谱分析 /
- 延时量化
Abstract: Countering the active deception jamming which is repeated by a Digital Radio Frequency Memory (DRFM) has been a challenging problem. Utilizing the characteristics that the Range Gate Pull Off (RGPO) jamming has a slightly different center frequency from the input radar signal and evenly spaced harmonics, a novel anti-jamming approach is proposed based on Singular Spectrum Analysis (SSA). First, the singular values energy distribution diversity between jamming harmonics and target echo, which are pretreated through SSA decomposition, is extracted for jamming detection. Then according to the center frequency diversity, a suitable subspace of singular values is divided for recovering the target echo, which means the jamming is mitigated simultaneously. The proposed approach does not need to estimate noise parameter, and has the precious property of a Constant False-Alarm Rate (CFAR) in the jamming detection stage. The validity of the proposed method is evaluated using experimental data via Monte Carlo simulation.
- Anti-jamming /
- Range Gate Pull Off (RGPO) jamming /
- Singular Spectrum Analysis (SSA) /
- Time delay quantization

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参考文献(30)

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