Virtual AoA and AoD estimation for sparse millimeter wave MIMO channels

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Author(s)

  • Taejoon Kim
  • David J. Love

Detail(s)

Original languageEnglish
Title of host publicationIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages146-150
Volume2015-August
ISBN (Print)9781479919307
Publication statusPublished - 27 Aug 2015

Publication series

Name
Volume2015-August

Conference

Title16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2015
PlaceSweden
CityStockholm
Period28 June - 1 July 2015

Abstract

In this paper, we investigate an angle of arrival (AoA) and angle of departure (AoD) estimation algorithm for sparse millimeter wave multiple-input multiple-output (MIMO) channels. The analytical channel model whose use we advocate here is the beam space (or virtual) MIMO channel representation. By leveraging the beam space MIMO concept, we characterize probabilistic channel priors under an analog precoding and combining constraints. This investigation motivates Bayesian inference approaches to virtual AoA and AoD estimation. We divide the estimation task into downlink sounding for AoA estimation and uplink sounding for AoD estimation. A belief propagation (BP)-type algorithm is adopted, leading to computationally efficient approximate message passing (AMP) and approximate log-likelihood ratio testing (ALLRT) algorithms. Numerical results demonstrate that the proposed algorithm outperforms the conventional AMP in terms of the AoA and AoD estimation accuracy for the sparse millimeter wave MIMO channel.

Research Area(s)

  • Channel estimation, Conferences, Estimation, Millimeter wave technology, MIMO, Transmitters, Wireless communication

Citation Format(s)

Virtual AoA and AoD estimation for sparse millimeter wave MIMO channels. / Kim, Taejoon; Love, David J.

IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC. Vol. 2015-August Institute of Electrical and Electronics Engineers Inc., 2015. p. 146-150 7227017.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review