Title :
Online spectrum cartography via quantized measurements
Author :
Romero, Daniel ; Seung-Jun Kim ; Giannakis, Georgios B.
Author_Institution :
Dept. of Signal Theor. & Comm., Univ. of Vigo, Vigo, Spain
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.
Keywords :
cartography; gradient methods; interpolation; iterative methods; regression analysis; PSD maps; RKHS; map estimation performance; online spectrum cartography algorithm; power spectral density; quantized sensor measurements; reproducing kernel Hilbert space; stochastic gradient descent iteration; vector-valued functions; Cognitive radio; Convergence; Estimation; Kernel; Measurement errors; Noise; Sensors;
Conference_Titel :
Information Sciences and Systems (CISS), 2015 49th Annual Conference on
Conference_Location :
Baltimore, MD
DOI :
10.1109/CISS.2015.7086874
