University of Oulu

J. Kaleva, N. J. Myers, A. Tölli and R. W. Heath, "A Geometry-aided Message Passing Method for AoA-Based Short Range MIMO Channel Estimation," 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Cannes, France, 2019, pp. 1-5. doi: 10.1109/SPAWC.2019.8815555

A geometry-aided message passing method for AoA-based short range MIMO channel estimation

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Author: Kaleva, Jarkko1; Myers, Nitin Jonathan2; Tölli, Antti1;
Organizations: 1Centre for Wireless Communications, University of Oulu, Finland
2Department of Electrical and Computer Engineering, The University of Texas at Austin, USA
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.7 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2020-02-19


Short range channels commonly arise in millimeter wave (mmWave) wearable settings, where the length of the antenna arrays can be comparable to the distance between the radios. Conventional mmWave MIMO channel estimation techniques based on the far field assumption may perform poorly in short range settings due to the large angular spread and, hence, high available rank. We propose a geometry-aided message passing algorithm that exploits structure in short range line-of-sight (LoS) channels for spatial sub-Nyquist channel estimation. Our approach parametrizes the channel using angle-of-arrivals (AoAs) that are locally defined for subarrays of an antenna array. Furthermore, it leverages the dependencies between the local AoAs using factors based on the array geometry. We show that the LoS MIMO channel can be reconstructed using the derived local AoA estimates and the known transceiver geometry. The proposed approach achieves a reasonable rate with greatly reduced pilot transmissions when compared to exhaustive beam search-based local AoA estimation.

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Series: IEEE International Workshop on Signal Processing Advances in Wireless Communications
ISSN: 2325-3789
ISSN-L: 2325-3789
ISBN: 978-1-5386-6528-2
ISBN Print: 978-1-5386-6529-9
Pages: 1 - 5
Article number: 8815555
DOI: 10.1109/SPAWC.2019.8815555
Host publication: 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019, 2-5 July 2019, Cannes, France
Conference: IEEE International Workshop on Signal Processing Advances in Wireless Communications
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This research is supported by the Academy of Finland under grant numbers 311741 and 318927 (6Genesis Flagship), and by the U.S. National Science Foundation under grant numbers CNS-1702800 and ECCS-1711702.
Academy of Finland Grant Number: 311741
Detailed Information: 311741 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
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