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
|Author:||Saloranta, Jani1; Destino, Giuseppe1|
1Centre for Wireless Communications, University of Oulu, Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.6 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018052124291
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-05-21
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.
European Signal Processing Conference
|Pages:||748 - 752|
2016 24th European Signal Processing Conference (EUSIPCO)
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
The research was funded in part by Nokia and Huawei.
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