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Time-frequency Analysis of Multicomponent LFM signal based on Hough and Chirplet Transform

机译:基于霍夫和Chirplet变换的多分量LFM信号的时频分析

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The Chirplet Transform (CT) is effective in the characterization of IF for mono-component linear-frequency-modulated signal. However, During the initialization process, using the peak of the time-frequency map of the short-time Fourier transform to fit the line is greatly affected by noise. For the multi-component signals, it is more difficult to distinguish and fit different IF lines. Since the Hough is good at a common algorithm for the line detection, the ridge edge fitting is replaced by the Hough transform in this paper. The experiment results show significant improvement in the obtained time-frequency representation.
机译:Chirplet变换(CT)对于单分量线性调频信号的IF表征非常有效。但是,在初始化过程中,使用短时傅立叶变换的时频图的峰值来拟合线会极大地受到噪声的影响。对于多分量信号,区分和适配不同的IF线更加困难。由于霍夫算法擅长用于行检测的常用算法,因此本文中的霍夫变换代替了脊边缘拟合。实验结果表明,所获得的时频表示具有显着改善。

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