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

This paper investigates the application of Compressed Sensing (CS) in Orthogonal Multi-tone Time-Domain Reflectometry (OMTDR) using a specific signal known as CHIRP-OMTDR. 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.