Digital compensation of lowpass filters imperfection in the Modulated Wideband Converter compressed sensing scheme for radio frequency monitoring

Lap-Luat Nguyen 1 Roland Gautier 1 Anthony Fiche 1 Gilles Burel 1 Emanuel Radoi 1
1 Lab-STICC_UBO_CACS_COM
IBNM - Institut Brestois du Numérique et des Mathématiques, Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : This paper focuses on non-ideal filters in a Modulated Wideband Converter (MWC) scheme. The MWC is a system that can sample a sparse wideband signal at sub-Nyquist rate. Generally, the output of the ideal MWC components will ensure a perfect reconstruction. In practice, the reconstruction should be based on the output of non-ideal components, especially filters. The impact of non-ideal filters will trigger to a bad reconstruction. In this paper, a detailed study on non-ideal lowpass filters imperfection used in compressed sensing MWC scheme is synthesized. A digital post-treatment scheme with amplitude and phase compensation is proposed after real lowpass filtering step in order to have the filtered output as close as the ideal lowpass filter output. At last, reconstruction spectra obtained from different simulated lowpass filters are compared with different parameters of MWC.
Document type :
Journal articles
Complete list of metadatas

https://hal.univ-brest.fr/hal-01822883
Contributor : Roland Gautier <>
Submitted on : Monday, June 25, 2018 - 3:20:31 PM
Last modification on : Thursday, December 19, 2019 - 1:35:19 AM

Links full text

Identifiers

Citation

Lap-Luat Nguyen, Roland Gautier, Anthony Fiche, Gilles Burel, Emanuel Radoi. Digital compensation of lowpass filters imperfection in the Modulated Wideband Converter compressed sensing scheme for radio frequency monitoring. Signal Processing, Elsevier, 2018, 152, pp.292 - 310. ⟨10.1016/j.sigpro.2018.06.011⟩. ⟨hal-01822883⟩

Share

Metrics

Record views

244