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 language | English (US) |
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| Title of host publication | 17th DSP 2011 International Conference on Digital Signal Processing, Proceedings |
| DOIs | |
| State | Published - Sep 29 2011 |
| Externally published | Yes |
| Event | 17th International Conference on Digital Signal Processing, DSP 2011 - Corfu, Greece Duration: Jul 6 2011 → Jul 8 2011 |
Publication series
| Name | 17th DSP 2011 International Conference on Digital Signal Processing, Proceedings |
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Other
| Other | 17th International Conference on Digital Signal Processing, DSP 2011 |
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| Country | Greece |
| City | Corfu |
| Period | 7/6/11 → 7/8/11 |
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