Enhancing Reflectometry Systems with CHIRP-OMTDR and Compressed Sensing: A Study on Signal Recovery Quality

Yosra Gargouri (1) , Nicolas Ravot (1) , Mariem Ben Hadj Abdallah (1) , Mickaël Cartron (2)

1 LIMTEC (CEA, LIST) - Laboratoire Instrumentation Multi-TEChnique (CEA, LIST)
2 LIIDE (CEA, LIST) - Laboratoire Instrumentation Intelligente Distribuée et Embarquée (CEA, LIST)

This paper investigates the application of Compressed Sensing (CS) in Orthogonal Multi-tone Time-Domain Reflectometry (OMTDR) using a specific signal known as CHIRPOMTDR. The Random Demodulator (RD) has been chosen as the Analog-to-Information Converter (AIC) in the acquisition chain. The study focuses on the influence of RD's filter selection, signal length, and compression factors on signal recovery quality. The results demonstrate that reconstruction quality improves with longer signal lengths, and that the choice of low-pass filter type and order has minimal impact. The findings contribute to the enhancement of reflectometry systems based on Compressed Sensing.

Mots clés: signal processing; Reflectometry; Analog-to-Information Converter; sensor; instrumentation; Compressed Sensing; CHIRPOMTDR signal; Random Demodulator; reconstruction

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

Yosra Gargouri, Nicolas Ravot, Mariem Ben Hadj Abdallah, Mickaël Cartron. Enhancing Reflectometry Systems with CHIRP-OMTDR and Compressed Sensing: A Study on Signal Recovery Quality. 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS 2023), Dec 2023, Istanbul, Turkey. 4 p., ⟨10.1109/ICECS58634.2023.10382865⟩. ⟨cea-04409169⟩