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
simulations.
Original languageEnglish
Title of host publication26th URSI Benelux Forum
PublisherURSI
Pages1-2
Number of pages2
Publication statusPublished - 16 Feb 2017
Event26th URSI Benelux Forum - Royal Military Academy, Brusssels, Belgium
Duration: 16 Feb 201716 Feb 2017

Conference

Conference26th URSI Benelux Forum
CountryBelgium
CityBrusssels
Period16/02/1716/02/17

ID: 29472334