基于矩阵二值化的频率捷变雷达信号分选

Frequency Agility Radar Signal Sorting Based on Matrix Binarization

针对频率捷变雷达信号的分选,提出了一种基于时频矩阵二值化的频率捷变雷达信号分选新方法。该方法首先对信号进行时频变换,得到时频矩阵;然后对时频矩阵二值化处理,提取信号在时频域能量分布归一化值作为信号的相参特征;最后采用支持向量机分类器实现信号分选。文中对频率捷变雷达信号进行仿真实验,结果表明,该方法在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6dB时,信号分选准确率达到96.17%,验证了所提出方法的有效性。

To sort frequency agility radar signal correctly,a novel frequency agility radar signal sorting approach based on the time-frequency distribution matrix binarization feature is proposed.Firstly,the time-frequency transform for radar signals is made to get the time-frequency distribution matrix.Then the binariza-tion processing for time-frequency distribution matrix and the signals energy distribution normalized values in time-frequency domain are extracted as the coherent characteristic.Finally,the support vector machine is applied to signal sorting.Simulation results show that the proposed approach can achieve satisfactory accurate sorting in low signal-to-noise rate（SNR）.Even for SNR=6 dB,the overall correct sorting rate of advanced frequency agility radar signals is 96.17%.The validity of the approach is demonstrated by experimental results.