Transient features extraction of HF burst signals based on fractal lacunarity

Abstract

Abstract: 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.

Key words: transient feature, fractal lacunarity, fractal dimension

摘要： 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。

关键词: 暂态特征, 分形缝隙, 分形维数

LU Jian, DUAN Tiandong, XU Wenyan. Transient features extraction of HF burst signals based on fractal lacunarity[J]. Computer Engineering and Applications, 2013, 49(20): 217-221.

卢健，段田东，徐文艳. 基于分形缝隙的短波突发信号暂态特征提取[J]. 计算机工程与应用, 2013, 49(20): 217-221.

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Transient features extraction of HF burst signals based on fractal lacunarity

基于分形缝隙的短波突发信号暂态特征提取

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