基于信号包络的辐射源细微特征提取方法

Emitter feature extract method based on signal envelope

雷达信号体制和调制样式的多样化,信号环境的复杂化,使得常规的识别方法很难适应实际需要,无法有效地对雷达辐射源信号进行分类识别。提出了一种结合小波变换技术的辐射源细微特征提取新方法。该方法克服了传统包络分析方法的缺点,提高了提取信号包络信息的精度。最后通过辐射源个体识别实例说明了这种方法提取的细微特征是有效的。

With the rapidly developing of electronic technology, the system and modulation manner of radar signals became more and more complicated and various, and circumstance of signals became increasing denseness. It results in that the routine method and theory of recognition can hardly satisfy practical requirement and can＇t effectively recognize for radar signals. So, the strict demand has been presented for study on recognition of radar signals. Aiming at the problem of radar radiating source recognition system, we put forward a scheme applying wavelet transform to feature extraction of emitter. The method can conquer the disadvantages of conventional methods, increase the accuracy of envelope extraction. At last, the results of test show that the method is effective.