Virtual AoA and AoD estimation for sparse millimeter wave MIMO channels
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC |
Publisher | Institute of Electrical and Electronics Engineers, Inc. |
Pages | 146-150 |
Volume | 2015-August |
ISBN (print) | 9781479919307 |
Publication status | Published - 27 Aug 2015 |
Publication series
Name | |
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Volume | 2015-August |
Conference
Title | 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2015 |
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Place | Sweden |
City | Stockholm |
Period | 28 June - 1 July 2015 |
Link(s)
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.
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 32 - Refereed conference paper (with host publication) › peer-review