%0 Conference Paper
%B IEEE Int. Conference on Acoustics, Speech and Signal Processing (ICASSP)
%D 2015
%T Spectrum Cartography using quantized observations
%A Daniel Romero
%A Seung-Jun Kim
%A R. López-Valcarce
%A Georgios Giannakis
%K cognitive radio
%K compass
%K compressed sensing
%K spectrum sensing
%X
This work proposes a spectrum cartography algorithm used for learning the power spectrum distribution over a wide frequency band across a given geographic area. Motivated by low-complexity sensing hardware and stringent communication constraints, compressed and quantized measurements are considered. Setting out from a nonparametric regression framework, it is shown that a sensible approach leads to a support vector machine formulation. The simulated tests verify that accurate spectrum maps can be constructed using a simple sensing architecture with significant savings in the feedback.
%B IEEE Int. Conference on Acoustics, Speech and Signal Processing (ICASSP)
%I IEEE
%C Brisbane, Australia
%8 04/2015
%G eng