Radon spectrogram-based approach for automatic IFs separation

EURASIP journal on advances in signal processing

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