Abstract

Abstract—An online spectrum cartography algorithm is pro-posed 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. I.