Virtual AoA and AoD estimation for sparse millimeter wave MIMO channels

Taejoon Kim; David J. Love

doi:10.1109/SPAWC.2015.7227017

Virtual AoA and AoD estimation for sparse millimeter wave MIMO channels

Taejoon Kim, David J. Love

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

82 Citations (Scopus)

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.

Original language	English
Title of host publication	IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Publisher	IEEE
Pages	146-150
Volume	2015-August
ISBN (Print)	9781479919307
DOIs	https://doi.org/10.1109/SPAWC.2015.7227017
Publication status	Published - 27 Aug 2015
Event	16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2015 - Stockholm, Sweden Duration: 28 Jun 2015 → 1 Jul 2015 http://www.spawc2015.org (unknown) http://www.spawc2015.org (unknown)

Publication series

Name
Volume	2015-August

Conference

Conference	16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2015
Place	Sweden
City	Stockholm
Period	28/06/15 → 1/07/15
Internet address	http://www.spawc2015.org (unknown) http://www.spawc2015.org (unknown)

Research Keywords

Channel estimation
Conferences
Estimation
Millimeter wave technology
MIMO
Transmitters
Wireless communication

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10.1109/SPAWC.2015.7227017

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@inproceedings{9c94aaff2b424f8b8e96a8c6d3018945,

title = "Virtual AoA and AoD estimation for sparse millimeter wave MIMO channels",

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.",

keywords = "Channel estimation, Conferences, Estimation, Millimeter wave technology, MIMO, Transmitters, Wireless communication",

author = "Taejoon Kim and Love, {David J.}",

year = "2015",

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doi = "10.1109/SPAWC.2015.7227017",

language = "English",

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volume = "2015-August",

publisher = "IEEE",

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booktitle = "IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC",

address = "United States",

note = "16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2015 ; Conference date: 28-06-2015 Through 01-07-2015",

url = "http://www.spawc2015.org, http://www.spawc2015.org",

}

Kim, T & Love, DJ 2015, Virtual AoA and AoD estimation for sparse millimeter wave MIMO channels. in IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC. vol. 2015-August, 7227017, IEEE, pp. 146-150, 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2015, Stockholm, Sweden, 28/06/15. https://doi.org/10.1109/SPAWC.2015.7227017

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 IEEE, 2015. p. 146-150 7227017.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Virtual AoA and AoD estimation for sparse millimeter wave MIMO channels

AU - Kim, Taejoon

AU - Love, David J.

PY - 2015/8/27

Y1 - 2015/8/27

N2 - 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.

AB - 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.

KW - Channel estimation

KW - Conferences

KW - Estimation

KW - Millimeter wave technology

KW - MIMO

KW - Transmitters

KW - Wireless communication

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DO - 10.1109/SPAWC.2015.7227017

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781479919307

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SP - 146

EP - 150

BT - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

PB - IEEE

T2 - 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2015

Y2 - 28 June 2015 through 1 July 2015

ER -

Virtual AoA and AoD estimation for sparse millimeter wave MIMO channels

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