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dc.contributor.authorKammoun, Abla
dc.contributor.authorCouillet, Romain
dc.contributor.authorPascal, Frédéric
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2017-01-02T09:55:31Z
dc.date.available2017-01-02T09:55:31Z
dc.date.issued2016-09-13
dc.identifier.citationKammoun A, Couillet R, Pascal F, Alouini M-S (2016) Optimal adaptive normalized matched filter for large antenna arrays. 2016 IEEE Statistical Signal Processing Workshop (SSP). Available: http://dx.doi.org/10.1109/SSP.2016.7551722.
dc.identifier.doi10.1109/SSP.2016.7551722
dc.identifier.urihttp://hdl.handle.net/10754/622578
dc.description.abstractThis paper focuses on the problem of detecting a target in the presence of a compound Gaussian clutter with unknown statistics. To this end, we focus on the design of the adaptive normalized matched filter (ANMF) detector which uses the regularized Tyler estimator (RTE) built from N-dimensional observations x, · · ·, x in order to estimate the clutter covariance matrix. The choice for the RTE is motivated by its possessing two major attributes: first its resilience to the presence of outliers, and second its regularization parameter that makes it more suitable to handle the scarcity in observations. In order to facilitate the design of the ANMF detector, we consider the regime in which n and N are both large. This allows us to derive closed-form expressions for the asymptotic false alarm and detection probabilities. Based on these expressions, we propose an asymptotically optimal setting for the regularization parameter of the RTE that maximizes the asymptotic detection probability while keeping the asymptotic false alarm probability below a certain threshold. Numerical results are provided in order to illustrate the gain of the proposed detector over a recently proposed setting of the regularization parameter.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/document/7551722/
dc.titleOptimal adaptive normalized matched filter for large antenna arrays
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal2016 IEEE Statistical Signal Processing Workshop (SSP)
dc.conference.date2016-06-25 to 2016-06-29
dc.conference.name19th IEEE Statistical Signal Processing Workshop, SSP 2016
dc.conference.locationPalma de Mallorca, ESP
dc.contributor.institutionCentraleSupélec, Université Paris, Saclay, France
kaust.personKammoun, Abla
kaust.personAlouini, Mohamed-Slim
dc.date.published-online2016-09-13
dc.date.published-print2016-06


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