Abstract
An online spectrum cartography algorithm is proposed to reconstruct power spectral density (PSD) maps in space and frequency based on compressed and quantized sensor measurements. The emerging interpolation task is formulated as a nonparametric regression problem in a reproducing kernel Hilbert space (RKHS) of vector-valued functions, and solved using a stochastic gradient descent iteration. Numerical tests verify the map estimation performance of the proposed technique.
Original language | English (US) |
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Title of host publication | 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781479984282 |
DOIs | |
State | Published - Apr 15 2015 |
Event | 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015 - Baltimore, United States Duration: Mar 18 2015 → Mar 20 2015 |
Publication series
Name | 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015 |
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Other
Other | 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015 |
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Country/Territory | United States |
City | Baltimore |
Period | 3/18/15 → 3/20/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.