(l1,l2)-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements

Thomas Feuillen, Mike E. Davies, Luc Vandendorpe, Laurent Jacques

Research output: Contribution to journalLetterpeer-review

Abstract

This letter analyzes the performances of a simple reconstruction method, namely the Projected Back-Projection (PBP), for estimating the direction of a sparse signal from its phase-only (or amplitude-less) complex Gaussian random measurements, i.e., an extension of one-bit compressive sensing to the complex field. To study the performances of this algorithm, we show that complex Gaussian random matrices respect, with high probability, a variant of the Restricted Isometry Property (RIP) relating to the l1 -norm of the sparse signal measurements to their l2 -norm. This property allows us to upper-bound the reconstruction error of PBP in the presence of phase noise. Monte Carlo simulations are performed to highlight the performance of our approach in this phase-only acquisition model when compared to error achieved by PBP in classical compressive sensing.
Original languageEnglish
JournalIEEE Signal Processing Letters
Volume27
Early online date12 Feb 2020
DOIs
Publication statusE-pub ahead of print - 12 Feb 2020

Keywords

  • eess.SP
  • cs.IT
  • math.IT

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