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Chirp信号的时频分析特征比较 被引量:4

Chirp signal time-frequency analysis characteristic comparison
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摘要 Chirp信号是一个典型的非平稳信号,在通信、声纳、雷达等领域具有广泛的应用,为了更好的显示其特性,文中首先介绍了各个算法的定义和公式,然后用各种时频分析方法对该信号以及该信号添加单频正弦噪声信号进行分析,比较各类方法的特点,通过分析和比较可知希尔伯特黄变换在处理该信号具有很好的聚集性以及对单频噪声也有很好的辨别能力。最后用MATLAB软件进行仿真得到结果。 Chirp signal is a typical non-stationary signal, and have been widely used in communication, sonar, radar and so on. So, this signal is worth to analysis. In order to show the characteristics, this paper first introduces the definition and formula of each algorithm, then with all kinds of time-frequency analysis method to the signals, and the signal to add two sine signal noise are analyzed, the comparison of the characteristics of the method in the paper, and the signal for the analysis, the selection of an appropriate analysis. Through analysis and comparison, when dealing with the signal, Hilbert-Huang transformation not only has a better gathered characteristic, but also has a better resolution to distinguish the sine signal noise. Finally, use the MATLAB software simulation to obtain the result.
作者 周静雷 王帆
机构地区 西安工程大学
出处 《电子设计工程》 2013年第2期179-182,共4页 Electronic Design Engineering
基金 陕西省教育厅专项科研计划项目(11JK0548)
关键词 CHIRP信号 短时傅里叶变换 WIGNER-VILLE分布 小波变换 希尔伯特黄变换 Chirp signal short-time Fourier transform Wigner-Ville distribution wavelet transform Hilbert-Huangtrans-formation
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