DocumentCode
1466429
Title
A Useful Performance Metric for Compressed Channel Sensing
Author
Sharp, Matthew ; Scaglione, Anna
Author_Institution
Cornell Univ., Ithaca, NY, USA
Volume
59
Issue
6
fYear
2011
fDate
6/1/2011 12:00:00 AM
Firstpage
2982
Lastpage
2988
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; coherence; numerical analysis; signal sampling; channel estimation; compressed channel sensing; localized coherence; normalized mean Euclidean error; numerical simulation; system identification; Channel estimation; Coherence; Delay; Matching pursuit algorithms; Noise; Time frequency analysis; Channel estimation; compressed sensing; sparsity; system identification;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2011.2123892
Filename
5725199
Link To Document