Compressed channel sensing: Is the restricted isometry property the right metric?

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

In this paper we are concerned with the estimation of doubly-selective multi-path communication channels trough methods referred to as compressed channel sensing. Many authors have used the Restricted Isometry Property (RIP) as a guiding principle to select training to ensure good estimation performance. In this paper we discuss why this approach can be restrictive and why its entanglement with modeling aspects can be misleading. More importantly, we provide an alternative approach to classify inputs based on a new metric that we call localized coherence.

Original languageEnglish (US)
Title of host publication17th DSP 2011 International Conference on Digital Signal Processing, Proceedings
DOIs
StatePublished - Sep 29 2011
Externally publishedYes
Event17th International Conference on Digital Signal Processing, DSP 2011 - Corfu, Greece
Duration: Jul 6 2011Jul 8 2011

Publication series

Name17th DSP 2011 International Conference on Digital Signal Processing, Proceedings

Other

Other17th International Conference on Digital Signal Processing, DSP 2011
CountryGreece
CityCorfu
Period7/6/117/8/11

Keywords

  • Channel Estimation
  • Compressed Sensing
  • Sparsity
  • System Identification

ASJC Scopus subject areas

  • Signal Processing

Cite this

Scaglione, A., & Li, X. (2011). Compressed channel sensing: Is the restricted isometry property the right metric? In 17th DSP 2011 International Conference on Digital Signal Processing, Proceedings [6005010] (17th DSP 2011 International Conference on Digital Signal Processing, Proceedings). https://doi.org/10.1109/ICDSP.2011.6005010