CAJ | 학술논문

对信号的暂态特征提取有利于通信电台的个体识别。针对分形维数在特征提取中存在的非普适性问题，提出了基于分形缝隙的短波突发信号暂态特征提取方法，该方法以幅度值为尺度计算缝隙值作为暂态特征，与分形维数相比，可以更有效地描述信号的暂态特性。在高斯白噪声和短波信道下进行了仿真分析，实验结果验证了缝隙值作为暂态特征的有效性。
대신호적잠태특정제취유리우통신전태적개체식별。침대분형유수재특정제취중존재적비보괄성문제，제출료기우분형봉극적단파돌발신호잠태특정제취방법，해방법이폭도치위척도계산봉극치작위잠태특정，여분형유수상비，가이경유효지묘술신호적잠태특성。재고사백조성화단파신도하진행료방진분석，실험결과험증료봉극치작위잠태특정적유효성。
Transient features extraction is beneficial in the transmitter identification. According to the non-universality of fractal dimension in the features extraction, a new method which is based on the fractal lacunarity is proposed to extract the transient features of HF burst signals. The method uses the amplitude as scale to calculate lacunarity. Contrast to the fractal dimension, lacunarity is more effective to describe the transient features. Simulation experiment in AWGN and HF channel proves the validity of the proposed method.