An adaptively focusing measurement design for compressed sensing based doa estimation

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dc.AffiliationOctober University for modern sciences and Arts (MSA)
dc.contributor.authorIbrahim, Mohamed
dc.contributor.authorRoemer, Florian
dc.contributor.authorDel Galdo, Giovanni
dc.date.accessioned2020-03-07T08:32:42Z
dc.date.available2020-03-07T08:32:42Z
dc.date.issued2015
dc.descriptionMSA Google Scholaren_US
dc.description.abstractIn this paper we propose an adaptive design strategy for the measurement matrix for applying Compressed Sensing (CS) to Direction Of Arrival (DOA) estimation with antenna arrays. Instead of choosing the coefficients of the compression matrix randomly, we propose a systematic design methodology for constructing a measurement matrix that focuses the array towards a specific area of interest and thereby achieves a superior DOA estimation performance. The focusing is performed in a sequential manner, i.e., we start with a uniform measurement design from which regions of interest can be extracted that the subsequent measurements then focus on. By continuously updating these target regions, gradual movement of the sources can also be tracked over time. Numerical results demonstrate that the focused measurements possess a superior SNR leading to significantly enhanced DOA estimates.en_US
dc.description.sponsorshipIEEEen_US
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dc.identifier.urihttps://t.ly/2XWAR
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries23rd European Signal Processing Conference (EUSIPCO);Pages : 859-863
dc.subjectUniversity of Compressive Sensing, DOA Estimation, Measurement Designen_US
dc.titleAn adaptively focusing measurement design for compressed sensing based doa estimationen_US
dc.typeBook chapteren_US

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