A robust {RFPI}-based 1-bit compressive sensing reconstruction algorithm
Paper in proceedings, 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.


A. Movahed

Chalmers, Signals and Systems

Ashkan Panahi

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Giuseppe Durisi

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

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

567-571 6404739

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