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Reconstruction of a Gaussian Random Field with Application to Spectrum Cartography

Joseph, Geethu and Murthy, Chandra R (2016) Reconstruction of a Gaussian Random Field with Application to Spectrum Cartography. In: IEEE International Conference on Communications (ICC), MAY 22-27, 2016, Kuala Lumpur, MALAYSIA.

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Official URL: http://dx.doi.org/10.1109/ICC.2016.7511545

Abstract

We consider the problem of estimating the intensity map of a spatially random phenomenon over a geographical area observed by a sensor network. The spatial phenomenon of interest is modeled using a Gaussian random field specified by its nonlinear mean and covariance functions. Our proposed algorithm includes two stages: a novel greedy sparse recovery algorithm to estimate the parameters of the mean function, and a spatial interpolation stage using an algorithm called simple kriging. Further, we study the application of the proposed algorithm to radio spectrum cartography, and show that it offers a significant advantage in terms of accuracy of map reconstruction compared to existing methods.

Item Type: Conference Proceedings
Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Depositing User: Id for Latest eprints
Date Deposited: 31 Jan 2017 08:32
Last Modified: 31 Jan 2017 08:32
URI: http://eprints.iisc.ac.in/id/eprint/56186

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