University of Oulu

J. Saloranta and G. Destino, "On the utilization of MIMO-OFDM channel sparsity for accurate positioning," 2016 24th European Signal Processing Conference (EUSIPCO), Budapest, 2016, pp. 748-752. doi: 10.1109/EUSIPCO.2016.7760348

On the utilization of MIMO-OFDM channel sparsity for accurate positioning

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Author: Saloranta, Jani1; Destino, Giuseppe1
Organizations: 1Centre for Wireless Communications, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2018052124291
Language: English
Published: Institute of Electrical and Electronics Engineers, 2016
Publish Date: 2018-05-21
Description:

Abstract

Recent results have revealed that MIMO channels at high carrier frequencies exhibit sparsity structure, i.e., a few dominant propagation paths. Also channel parameters, namely angular information and propagation delay can be modelled with the physical location of the transmitter, receiver and scatters. In this paper, we leverage these features into the development of a single base-station localization algorithm, and show that the location of an unknown device can be estimated with an accuracy below a meter based on pilot signalling with a OFDM transmission. The method relies on the utilization of the “Adaptive-LASSO” optimization method, in which an ℓ1-based minimization problem is solved by adapting the sparsifying matrix (dictionary) and the sparse vector jointly. Then the location of the device is estimated from the parameters of the sparsifying matrix. Finally, the positioning method is evaluated in different channel setting utilizing a ray-tracing channel model at 28GHz.

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Series: European Signal Processing Conference
ISSN: 2219-5491
ISSN-E: 2076-1465
ISSN-L: 2219-5491
ISBN Print: 978-0-9928-6265-7
Pages: 748 - 752
DOI: 10.1109/EUSIPCO.2016.7760348
OADOI: https://oadoi.org/10.1109/EUSIPCO.2016.7760348
Host publication: 2016 24th European Signal Processing Conference (EUSIPCO)
Conference: European Signal Processing Conference (EUSIPCO), Aug. 29 2016-Sept. 2 2016
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: The research was funded in part by Nokia and Huawei.
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