Modulated Wideband Converter Compressed Sensing Spectrum Reconstruction in Multi-Level Power of Transmitters Signal Scenarios

Lap Luat Nguyen (1, 2) , Anthony Fiche (3, 4) , Roland Gautier (4, 3)

1 International University HCMC [Vietnam]
2 VNU-HCM - Vietnam National University, Ho Chi Minh City / Đại học Quốc gia TP. Hồ Chí Minh
3 UBO - Université de Brest
4 Lab-STICC_SI3 - Equipe Security, Intelligence and Integrity of Information

This paper studies the impacts of transmitters power levels on spectrum reconstruction performances in order to monitor a wideband spectrum. A sub-Nyquist blind sampling scheme based on the Modulated Wideband Converter (MWC) has been considered to achieve this task. Reconstruction performances are evaluated in simulation in terms of correct reconstruction and false alarm rates by studying several multi-level power scenarios. The study shows that the performance of reconstruction depends on the In-Band Signal-to-Noise ratio (IBSNR) of each transmitter. Based on these results, a threshold of In-Band Signal-to-Noise ratio to ensure the correct reconstruction is proposed.

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

Lap Luat Nguyen, Anthony Fiche, Roland Gautier. Modulated Wideband Converter Compressed Sensing Spectrum Reconstruction in Multi-Level Power of Transmitters Signal Scenarios. International Conference on Advanced Technologies for Communications (ATC), Oct 2021, Ho Chi Minh City, Vietnam. ⟨hal-03379719⟩