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Edison Cristofani, Osama Mahfoudia, Mathias Becquaert, Xavier Neyt, François Horlin, Nikos Deligiannis, Johan Stiens, Marijke Vandewal
 

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Abstract 

For some applications, data burden can become aproblem if the system needs to resolve targets accurately. Passivecoherent location using digital video broadcast signals is not anexception: large amounts of data need to be acquired,transferred, and stored for processing. Redundancy in signals canbe exploited thanks to compressive sensing by means of sparsityin a given domain, random down-sampling the received signaland discarding unnecessary data. However, not all applicationsare suitable and may not be robust enough. This paper willpresent preliminary results of passive coherent location andcompressive sensing based on signal modelling and Monte-Carlosimulations.

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