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.
Cristofani, E, Mahfoudia, O, Becquaert, M, Neyt, X, Horlin, F, Deligiannis, N, Stiens, J & Vandewal, M 2017, Compressive Sensing and DVB-T-Based Passive Coherent Location. in 26th URSI Benelux Forum. URSI, pp. 1-2, 26th URSI Benelux Forum, Brusssels, Belgium, 16/02/17. <http://www.sic.rma.ac.be/~ecristof/CS/CristofaniURSI17.pdf>
Cristofani, E., Mahfoudia, O., Becquaert, M., Neyt, X., Horlin, F., Deligiannis, N., Stiens, J., & Vandewal, M. (2017). Compressive Sensing and DVB-T-Based Passive Coherent Location. In 26th URSI Benelux Forum (pp. 1-2). URSI. http://www.sic.rma.ac.be/~ecristof/CS/CristofaniURSI17.pdf
@inproceedings{200e07a6aeb84181bf9f6dad60601944,
title = "Compressive Sensing and DVB-T-Based Passive Coherent Location",
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. ",
author = "Edison Cristofani and Osama Mahfoudia and Mathias Becquaert and Xavier Neyt and Fran{\c c}ois Horlin and Nikolaos Deligiannis and Johan Stiens and Marijke Vandewal",
year = "2017",
month = feb,
day = "16",
language = "English",
pages = "1--2",
booktitle = "26th URSI Benelux Forum",
publisher = "URSI",
note = "26th URSI Benelux Forum ; Conference date: 16-02-2017 Through 16-02-2017",
}