摘要
基于数字射频存储(digital radio frequency memory,DRFM)技术的转发式干扰的存在性检测是对抗有源欺骗干扰的前提。干扰机的相位取样量化会导致干扰信号有谐波分量的寄生。在雷达距离/速度波门内同时存在目标信号和欺骗干扰信号的情形下,利用经验模态分解(empirical model decomposition,EMD)算法分离出干扰信号谐波分量,通过提取干扰谐波分量与目标回波在时频域上能量分布特征差异,提出了一种基于时频域熵特征的有源欺骗干扰检测方法。该方法不需要估计噪声参数,且具有恒虚警(constant false-alarm rate,CFAR)特性。蒙特卡罗仿真结果验证了该方法的有效性。
The detection of presence of a deception jamming which is emitted by digital radio frequency memory（DRFM）devices is the foundation of countering the active deception jammer.The phase-quantized jamming signal presents evenly spaced harmonics,compared with the input radar signal.For detecting DRFM deception jamming when both target echo and the jamming are co-existent in a range/velocity gate,the harmonics are extracted through the empirical mode decomposition（EMD）algorithm,and the energy distribution diversity in the time-frequency domain between the jamming harmonics and the target echo is analyzed,then a novel jamming detection approach is outlined based on the entropy feature.The proposed approach does not need to estimate the noise parameter,and has the precious property of a constant false-alarm rate（CFAR）.The validity of the proposed method is evaluated by using experimental data via Monte Carlo simulation.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2016年第4期732-738,共7页
Systems Engineering and Electronics
基金
国家自然科学基金(61271297
61272281
61301284)
国防预研基金(9140A07020913DZ01001)
博士学科点科研专项基金(20110203110001)资助课题
关键词
有源欺骗干扰
时频分析
目标检测
恒虚警
active deception jamming
time-frequency analysis
target detection
constant false-alarm rate（CFAR）
