Dictionary design for sensor network localization via block-sparsity

Alessandro Bay, Diego Carrera, Sophie M. Fosson, Pasqualina Fragneto, Marco Grella, Chiara Ravazzi, Enrico Magli

Abstract: In this paper, we consider the problem of RSS-fingerprinting localization in wireless sensor networks. In particular, inspired by the recent advances in sparse approximation and compressive sensing theory, we propose a localization scheme based on the dictionary design of block-sparse signals. We show via numerical simulations and real experiments that the proposed technique outperforms traditional fingerprinting methods.