A robust {RFPI}-based 1-bit compressive sensing reconstruction algorithm
Paper i proceeding, 2012

n this paper, we introduce a 1-bit compressive sensing reconstruction algorithm that is not only robust against bit flips in the binary measurement vector, but also does not require a priori knowledge of the sparsity level of the signal to be reconstructed. Through numerical experiments, we show that our algorithm outperforms state-of-the-art reconstruction algorithms for the 1-bit compressive sensing problem in the presence of random bit flips and when the sparsity level of the signal deviates from its estimated value.

Författare

A. Movahed

Chalmers

Ashkan Panahi

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Giuseppe Durisi

Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

IEEE Information Theory Workshop (ITW), Lausanne, 3-7 September 2012

567-571 6404739

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Telekommunikation

DOI

10.1109/ITW.2012.6404739

ISBN

978-146730223-4

Mer information

Senast uppdaterat

2018-09-10