CAJ | 학술논문

针对新体制频率捷变雷达信号分选准确率低的问题，提出了基于频谱图像中心矩特征的雷达信号分选方法。该方法首先对雷达信号进行离散傅里叶变换(DFT)，得到频谱图像；然后对频谱图像进行预处理，提取频谱图像中心矩特征为信号的相参特征；最后采用支持向量机分类器实现信号分选。以新体制频率捷变雷达信号为代表进行的仿真验证表明，该方法在小样本及较低信噪比下仍能获得较为满意的分选准确率，当信噪比为5 dB 时，信号分选准确率达到98%，验证了所提出方法的有效性。
침대신체제빈솔첩변뢰체신호분선준학솔저적문제，제출료기우빈보도상중심구특정적뢰체신호분선방법。해방법수선대뢰체신호진행리산부리협변환(DFT)，득도빈보도상；연후대빈보도상진행예처리，제취빈보도상중심구특정위신호적상삼특정；최후채용지지향량궤분류기실현신호분선。이신체제빈솔첩변뢰체신호위대표진행적방진험증표명，해방법재소양본급교저신조비하잉능획득교위만의적분선준학솔，당신조비위5 dB 시，신호분선준학솔체도98%，험증료소제출방법적유효성。
Aiming at the problem of the low sorting accuracy of advanced frequency agility radar signals,a radar signal sorting approach based on spectrum image central moment feature was proposed in this paper.Firstly, DFT for radar signals was taken to get the spectrum image.Then,the spectrum image pretreatment was made, and the central moment feature of spectrum image was extracted as coherent characteristic.Finally,the support vector machine was applied to signals sorting.Simulation results showed that the proposed approach could a-chieve satisfactory accurate sorting in low signal-to-noise ratio (SNR)and small sample amount represented by the advanced frequency agility radar signals.The validity of the approach was demonstrated by experimental re-sults.