Transient signal characterization using multi-lag phase space analysis

Angela Digulescu (1, 2) , Cindy Bernard (2) , Elena Lungu (3) , Ion Candel (2) , Cornel Ioana (2) , Gabriel Vasile (2)

1 MTA - ATM - Military Technical Academy - Académie Technique Militaire [Bucharest, Romania]
2 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique
3 SIGINTEC - SIGNAL INFORMATICS TECHNOLOGY

Transient signals have proved to be difficult to characterize/classify because of their short duration and broad spectrum. Methods based on time-frequency analysis are used for transient detection, but their characterization is limited when it comes to similar signals that have close amplitudes and frequencies. This paper presents the multi-lag phase space analysis, an alternative to the classical approaches for the characterization of transient signals. New tools developed for this method are applied on multi-path acoustic signals which are acquired using an acoustic microphone placed in the center of a facility surrounded by walls. The results are compared with the ones obtained using time-frequency analysis.

Mots clés: Phase space; transient; recurrence; lag

Domaines: Traitement du signal et de l'image [eess.SP]

Angela Digulescu, Cindy Bernard, Elena Lungu, Ion Candel, Cornel Ioana, et al.. Transient signal characterization using multi-lag phase space analysis. COMCAS 2015 - 2015 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems, Nov 2015, Tel-Aviv, Israel. ⟨10.1109/COMCAS.2015.7360411⟩. ⟨hal-01447978⟩