DocumentCode :
1912500
Title :
Virtual AoA and AoD estimation for sparse millimeter wave MIMO channels
Author :
Taejoon Kim ; Love, David J.
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, China
fYear :
2015
fDate :
June 28 2015-July 1 2015
Firstpage :
146
Lastpage :
150
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 :
Bayes methods; MIMO communication; approximation theory; direction-of-arrival estimation; wireless channels; Bayesian inference approaches; analog precoding; analytical channel model; angle of arrival estimation algorithm; angle of departure estimation algorithm; approximate log-likelihood ratio testing algorithms; beam space MIMO concept; belief propagation-type algorithm; computationally efficient approximate message passing; downlink sounding; probabilistic channel priors; sparse millimeter wave MIMO channels; sparse millimeter wave multiple-input multiple-output channels; uplink sounding; virtual AoA estimation; virtual AoD estimation; virtual MIMO channel representation; Channel estimation; Conferences; Estimation; MIMO; Millimeter wave technology; Transmitters; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications (SPAWC), 2015 IEEE 16th International Workshop on
Conference_Location :
Stockholm
Type :
conf
DOI :
10.1109/SPAWC.2015.7227017
Filename :
7227017
Link To Document :
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