File Download

There are no files associated with this item.

Supplementary

Conference Paper: Robust tensor-based DOA estimation in Massive MIMO System

TitleRobust tensor-based DOA estimation in Massive MIMO System
Authors
Cheng, LWu, YCLiu, LZhang, J
Issue Date2015
Citation
The 2015 IEEE Global Communications Conference (GLOBECOM 2015), San Diego, CA., 6-10 December 2015. How to Cite?
AbstractIn this paper, direction-of-arrival (DOA) estimation problem for massive multiple-input multiple-output (MIMO) systems with a two dimensional (2D) array is investigated, assuming no knowledge of path number, noise power, path gain correlations and bad data statistics. A novel iterative algorithm operating on tensor represented data is proposed, with integrated features of effective bad data mitigation, automatic source enumeration and low-complexity. Simulation results are presented to illustrate the excellent performance of the proposed algorithm in term of accuracy and robustness.
Persistent Identifierhttp://hdl.handle.net/10722/214824

 

DC FieldValueLanguage
dc.contributor.authorCheng, L-
dc.contributor.authorWu, YC-
dc.contributor.authorLiu, L-
dc.contributor.authorZhang, J-
dc.date.accessioned2015-08-21T11:57:37Z-
dc.date.available2015-08-21T11:57:37Z-
dc.date.issued2015-
dc.identifier.citationThe 2015 IEEE Global Communications Conference (GLOBECOM 2015), San Diego, CA., 6-10 December 2015.-
dc.identifier.urihttp://hdl.handle.net/10722/214824-
dc.description.abstractIn this paper, direction-of-arrival (DOA) estimation problem for massive multiple-input multiple-output (MIMO) systems with a two dimensional (2D) array is investigated, assuming no knowledge of path number, noise power, path gain correlations and bad data statistics. A novel iterative algorithm operating on tensor represented data is proposed, with integrated features of effective bad data mitigation, automatic source enumeration and low-complexity. Simulation results are presented to illustrate the excellent performance of the proposed algorithm in term of accuracy and robustness.-
dc.languageeng-
dc.relation.ispartofIEEE Conference and Exhibition of Global Telecommunications (GLOBECOM)-
dc.titleRobust tensor-based DOA estimation in Massive MIMO System-
dc.typeConference_Paper-
dc.identifier.emailWu, YC: ycwu@eee.hku.hk-
dc.identifier.authorityWu, YC=rp00195-
dc.identifier.hkuros248930-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats