基于盲源分离的雷达信号欺骗干扰抑制  

Radar Signal Deception Jamming Suppressing Based on Blind Source Separation

作　　者：李飞[1] 李国林[2] 粘朋雷[1] 

机构地区：[1]海军航空工程学院研究生管理大队,山东烟台264001 [2]海军航空工程学院七系,山东烟台264001

出　　处：《海军航空工程学院学报》2015年第5期424-428,共5页Journal of Naval Aeronautical and Astronautical University

基　　金：国家自然科学基金资助项目(61102165)

摘　　要：针对脉冲压缩信号的频谱弥散(SMSP)干扰,通过分析其时频特性,提出了一种基于盲分离的抑制算法。首先,推导了基于独立分量分析的代价函数,由于代价函数中信号概率密度函数不能精确估计,利用信号高阶互累积量的性质,重新构造了一种新的代价函数;其次,利用基于自然梯度的方法对新代价函数进行优化,从而得到基于峭度的盲分离算法;最后,通过仿真证明,对比Fast ICA算法,文中算法具有更快的收敛速度和更好的分离性能,在保证分离精度的前提下,可成功将目标回波信号分离,达到SMSP干扰抑制的目的。Through analysis time and frequency domains character of the smeared spectrum （SMSP） jamming which aimed at pulse compression signal, a suppressing algorithm was proposed based on blind source separation. First, the contrast function was deduced based on independent component analysis （ICA）, because the probability density function couldnot be computed accurately, a new contrast function was constructed by using the character high order cumulant. Second, the new contract function was optimized by using natural gradient, and a new blind source separation algorithm was proposed. Last, the experimental simulation proved that the algorithm had faster convergence character and better separation performance than FastICA algorithm, and could separate the target echo from mixed signals with good precision, the purpose to suppress SMSP jamming was achieved.

关 键 词：脉冲压缩 频谱弥散干扰 盲分离 独立分量分析 峭度 

分 类 号：TN917.3[电子电信—通信与信息系统]