Compressive Sensing and DVB-T-Based Passive Coherent Location

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

Research output: Chapter in Book/Report/Conference proceedingConference paper


For some applications, data burden can become a
problem if the system needs to resolve targets accurately. Passive
coherent location using digital video broadcast signals is not an
exception: large amounts of data need to be acquired,
transferred, and stored for processing. Redundancy in signals can
be exploited thanks to compressive sensing by means of sparsity
in a given domain, random down-sampling the received signal
and discarding unnecessary data. However, not all applications
are suitable and may not be robust enough. This paper will
present preliminary results of passive coherent location and
compressive sensing based on signal modelling and Monte-Carlo
Original languageEnglish
Title of host publication26th URSI Benelux Forum
Number of pages2
Publication statusPublished - 16 Feb 2017
Event26th URSI Benelux Forum - Royal Military Academy, Brusssels, Belgium
Duration: 16 Feb 201716 Feb 2017


Conference26th URSI Benelux Forum


Dive into the research topics of 'Compressive Sensing and DVB-T-Based Passive Coherent Location'. Together they form a unique fingerprint.

Cite this