A low-complexity direction-of-arrival estimation algorithm for full-dimension massive MIMO systems

Kai Yu Yang, Jwo-Yuh Wu, Wen Hsuan Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Scopus citations

Abstract

Full dimension (FD) MIMO, whereby a 2-dimensional (2D) antenna array is placed at the base station, has been known as a promising solution to economize spatial size of practical massive MIMO systems. To exploit such spatial resource for system performance enhancement, e.g., via three-dimensional beamforming, accurate estimation of the direction-of-arrival (DoA) of the signal sources is necessary. Existing DoA estimation methods using 2D arrays typically resorted to joint search over the 2D angular domain; however, the required algorithmic complexity would be prohibitively large, especially in the massive MIMO scenario. This paper proposes a two-stage low-complexity DoA estimation scheme, in which two MUSIC algorithms are performed for estimating, respectively, the elevation and azimuth angles of the impinging sources. Detailed flop count analyses are provided for justifying the low-complexity advantage. Various numerical simulations are also used to illustrate the performance of the proposed scheme.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages472-476
Number of pages5
ISBN (Electronic)9781479958320
DOIs
StatePublished - 27 Jan 2014
Event2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014 - Macau, China
Duration: 19 Nov 201421 Nov 2014

Publication series

Name2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014

Conference

Conference2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014
CountryChina
CityMacau
Period19/11/1421/11/14

Keywords

  • Direction of Arrival (DoA)
  • ESPRIT
  • Full-Dimension MIMO
  • Massive MIMO
  • MUSIC

Fingerprint Dive into the research topics of 'A low-complexity direction-of-arrival estimation algorithm for full-dimension massive MIMO systems'. Together they form a unique fingerprint.

Cite this