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Analysis of multicomponent LMF signals using time-frequency and the gray-scale inverse Hough transform

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3 Author(s)
Guohua Wei ; Dept. of Electron. Eng., Beijing Inst. of Technol., China ; Siliang Wu ; Mao, Erke

In this paper, the time-frequency distribution of multicomponent linear-frequency modulation (LFM) signals, which is a function of two variables, has been treated as an "image". The gray-scale inverse Hough transform (GIHT), an image processing method, is applied for analyzing the "image". The time-frequency distribution (TFD) is computed from an optimally weighted average of multiple Hermite windowed spectrograms, which provides a better "image source" than the commonly used Wigner distribution and spectrogram for the later image analysis. By taking advantage of GIHT more information in the time-frequency can be utilized and more accurate results have been achieved. Several examples are provided to demonstrate and quantify the effectiveness and robustness of this method.

Published in:

Statistical Signal Processing, 2003 IEEE Workshop on

Date of Conference:

28 Sept.-1 Oct. 2003