雷达信号WVD主脊线符号熵特征提取

Intra-pulse feature extraction of radar emitter signals based on WVD main ridge symbolic entropy

为增加雷达信号有效分选特征,研究了可供分选的新的脉內特征。利用ASTFT谱抑制的WVD兼具良好的时频边缘特性和抑制交叉项性能,对信号进行时频变换,提取出反映能量特性的时频脊线,并以脊线特征为对象,计算表征其复杂度的符号熵作为该信号的分选特征。仿真测试可知,新特征具有良好的可分性和抗噪声性能。

To improve the effective separation features of radar signal, new intra-pulse characteristics for separation is studied. With ASTFT spectrum checked WVD method which owns both optimal time-frequency edge and cross-restrained features, the signals are transformed in time-frequency domain to exact the time-frequency ridge lines for reflecting energy features. The ridge lines are used to calculate the symbol entropy as separation features. Simulation results show that the new features can be easily separated and with optimal noise robustness.