Compressive spatial channel sounding

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dc.AffiliationOctober University for modern sciences and Arts (MSA)
dc.contributor.authorIbrahim, M.
dc.contributor.authorAl-Aqqad, W.
dc.contributor.authorRomer, F.
dc.contributor.authorKaske, M.
dc.contributor.authorSemper, S.
dc.contributor.authorS. Thoma, R.
dc.contributor.authorDel Galdo, G.
dc.date.accessioned2020-03-07T07:47:03Z
dc.date.available2020-03-07T07:47:03Z
dc.date.issued2018
dc.descriptionMSA Google Scholaren_US
dc.description.abstractIn this paper we investigate the application of Compressed Sensing (CS) to MIMO channel sounding in the spatial domain. A compressive spatial channel sounder is proposed and evaluated based on real scenarios showing advantages in terms of time, hardware complexity and resolution. In particular, in the case where we use time division duplex for measuring the MIMO channel (in the form of antenna switching at the transmitter and/or the receiver), the proposed approach reduces the total number of switching periods, which implies a reduced channel acquisition time and thus an improved Doppler bandwidth. Alternatively, if we use multiple receive RF chains for the measurement, the compression allows to reduce the number of RF chains, which is a relevant advantage in terms of the overall receiver complexity, the amount of data to be processed in the digital domain (e.g., FPGA), power consumption, as well as RF hardware calibration. On the other hand, for the same measurement time and/or hardware complexity, one can increase the number of array elements to cover a larger aperture and so achieving better performance in terms of resolution.en_US
dc.description.sponsorshipIET Digital Libraryen_US
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dc.identifier.urihttps://t.ly/625bx
dc.language.isoenen_US
dc.publisherIET Digital Libraryen_US
dc.subjectUniversity of Compressive Sensing, DOA Estimation, Channel Soundingen_US
dc.titleCompressive spatial channel soundingen_US
dc.typeArticleen_US

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