EURASIP journal on advances in signal processing | |
Radon spectrogram-based approach for automatic IFs separation | |
article | |
Bruni, Vittoria1  Tartaglione, Michela1  Vitulano, Domenico1  | |
[1] Department of Basic and Applied Sciences for Engineering, Sapienza University of Rome;Italian National Research Council | |
关键词: Overlapping modes; Non-linear FM signals; Instantaneous frequency; Ridge curves; Radon transform; Radon-Wigner transform; Spectrogram; ICI rule; Minimum description length principle; | |
DOI : 10.1186/s13634-020-00673-8 | |
来源: SpringerOpen | |
【 摘 要 】
The separation of overlapping components is a well-known and difficult problem in multicomponent signals analysis and it is shared by applications dealing with radar, biosonar, seismic, and audio signals. In order to estimate the instantaneous frequencies of a multicomponent signal, it is necessary to disentangle signal modes in a proper domain. Unfortunately, if signal modes supports overlap both in time and frequency, separation is only possible through a parametric approach whenever the signal class is a priori fixed. In this work, time-frequency analysis and Radon transform are jointly used for the unsupervised separation of modes of a generic frequency modulated signal in noisy environment. The proposed method takes advantage of the ability of the Radon transform of a proper time-frequency distribution in separating overlapping modes. It consists of a blind segmentation of signal components in Radon domain by means of a near-to-optimal threshold operation. The inversion of the Radon transform on each detected region allows us to isolate the instantaneous frequency curves of each single mode in the time-frequency domain. Experimental results performed on constant amplitudes chirp signals confirm the effectiveness of the proposed method, opening the way for its extension to more complex frequency modulated signals.
【 授权许可】
CC BY
【 预 览 】
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