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dc.contributor.authorHorng, Cian-Yaen_US
dc.contributor.authorWu, Wen-Rongen_US
dc.contributor.authorHuang, Din-Hwaen_US
dc.date.accessioned2019-04-02T06:04:16Z-
dc.date.available2019-04-02T06:04:16Z-
dc.date.issued2018-01-01en_US
dc.identifier.issn1546-1874en_US
dc.identifier.urihttp://hdl.handle.net/11536/151064-
dc.description.abstractBeamforming has been considered a crucial technique in 5G era. To perform received beamforming, one must know the information of angle-of-arrival (AoA). This paper considers AoA estimation in single-input-multiple-output (SIMO) pilot-assisted OFDM systems. Exploiting the sparsity of the wireless channel, we can first efficiently estimate channel impulse response with a compressive-sensing based technique. However, existing works often do not take the pulse-shaping effect into account, resulting in poor performance in real-world systems. We propose a basis adaptive block sparse Bayesian learning framework to solve the problem. Once the CIRs corresponding to received antennas are obtained, AuAs can then be estimated accordingly.en_US
dc.language.isoen_USen_US
dc.subjectorthogonal frequency-division multiplexing (OEDM)en_US
dc.subjectpulse-shapingen_US
dc.subjectcompressive sensing (CS)en_US
dc.subjectblock sparse Bayesian. learning (BSBL)en_US
dc.subjectangle-of-arrival (4oA)en_US
dc.subjectchannel estimationen_US
dc.titleJoint AoA and Channel Estimation for Pulse-shpaed SIMO-OFDM systemsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2018 IEEE 23RD INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP)en_US
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:000458909600199en_US
dc.citation.woscount0en_US
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