Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Horng, Cian-Ya | en_US |
dc.contributor.author | Wu, Wen-Rong | en_US |
dc.contributor.author | Huang, Din-Hwa | en_US |
dc.date.accessioned | 2019-04-02T06:04:16Z | - |
dc.date.available | 2019-04-02T06:04:16Z | - |
dc.date.issued | 2018-01-01 | en_US |
dc.identifier.issn | 1546-1874 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/151064 | - |
dc.description.abstract | Beamforming 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.iso | en_US | en_US |
dc.subject | orthogonal frequency-division multiplexing (OEDM) | en_US |
dc.subject | pulse-shaping | en_US |
dc.subject | compressive sensing (CS) | en_US |
dc.subject | block sparse Bayesian. learning (BSBL) | en_US |
dc.subject | angle-of-arrival (4oA) | en_US |
dc.subject | channel estimation | en_US |
dc.title | Joint AoA and Channel Estimation for Pulse-shpaed SIMO-OFDM systems | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | 2018 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.department | Institute of Communications Engineering | en_US |
dc.identifier.wosnumber | WOS:000458909600199 | en_US |
dc.citation.woscount | 0 | en_US |
Appears in Collections: | Conferences Paper |