@article{def07cddacf44fe28146996481c29354,
title = "A useful performance metric for compressed channel sensing",
abstract = "Recently, new progress has been made in using basis expansion models for system identification with compressed sensing. To aid the application of these methodologies, we introduce a metric, called localized coherence, for choosing input signals that result in better estimation performance. Its definition is motivated through the analysis of the normalized mean Euclidean error of the channel estimate and its efficacy is demonstrated through numerical simulations.",
keywords = "Channel estimation, compressed sensing, sparsity, system identification",
author = "Matthew Sharp and Anna Scaglione",
note = "Funding Information: Manuscript received July 14, 2010; revised October 23, 2010 and February 10, 2011; accepted February 10, 2011. Date of publication March 07, 2011; date of current version May 18, 2011. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Huaiyu Dai. This work was supported by ONR contract No. N00014-05-C-0070. M. Sharp is with Cornell University, Ithaca, NY 14853 USA (e-mail: mds72@cornell.edu). A. Scaglione is with the University of California, Davis, CA 95616 USA(e-mail: ascaglione@ucdavis.edu). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TSP.2011.2123892",
year = "2011",
month = jun,
doi = "10.1109/TSP.2011.2123892",
language = "English (US)",
volume = "59",
pages = "2982--2988",
journal = "IEEE Transactions on Signal Processing",
issn = "1053-587X",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "6",
}