High-dimensional channel estimation for simultaneous localization and communications
(2021) 2021 IEEE Wireless Communications and Networking Conference, WCNC 2021 In IEEE Wireless Communications and Networking Conference, WCNC 2021-March.- Abstract
Simultaneous localization and communication (SLAC) is a desirable feature of 5G and beyond 5G wireless networks. To be able to implement SLAC, efficient high dimensional channel estimation methods are critical. This work presents a low-complexity multidimensional channel parameter estimation via rotational invariance techniques (MD-ESPRIT). We use both the spatial smoothing and forward-backward averaging techniques to further explore data samples to extract multipath components (MPCs). We propose a one-dimensional Fast-Fourier-Transform- (FFT) and inverse-FFT-based approach to obtain the signal subspaces for angular frequency estimation. The geometry relationship between MPCs and positions is utilized for simultaneous positioning and... (More)
Simultaneous localization and communication (SLAC) is a desirable feature of 5G and beyond 5G wireless networks. To be able to implement SLAC, efficient high dimensional channel estimation methods are critical. This work presents a low-complexity multidimensional channel parameter estimation via rotational invariance techniques (MD-ESPRIT). We use both the spatial smoothing and forward-backward averaging techniques to further explore data samples to extract multipath components (MPCs). We propose a one-dimensional Fast-Fourier-Transform- (FFT) and inverse-FFT-based approach to obtain the signal subspaces for angular frequency estimation. The geometry relationship between MPCs and positions is utilized for simultaneous positioning and mapping. Numerical results demonstrate the improved identifiability and low complexity performance of the proposed scheme.
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- author
- Jiang, Fan ; Ge, Yu ; Zhu, Meifang LU and Wymeersch, Henk
- organization
- publishing date
- 2021
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2021 IEEE Wireless Communications and Networking Conference, WCNC 2021
- series title
- IEEE Wireless Communications and Networking Conference, WCNC
- volume
- 2021-March
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2021 IEEE Wireless Communications and Networking Conference, WCNC 2021
- conference location
- Nanjing, China
- conference dates
- 2021-03-29 - 2021-04-01
- external identifiers
-
- scopus:85117978453
- ISSN
- 1525-3511
- ISBN
- 9781728195056
- DOI
- 10.1109/WCNC49053.2021.9417496
- language
- English
- LU publication?
- yes
- id
- e8ded091-cf9f-4633-b8c3-c1ad3040d468
- date added to LUP
- 2022-02-28 17:35:03
- date last changed
- 2025-04-04 14:26:31
@inproceedings{e8ded091-cf9f-4633-b8c3-c1ad3040d468, abstract = {{<p>Simultaneous localization and communication (SLAC) is a desirable feature of 5G and beyond 5G wireless networks. To be able to implement SLAC, efficient high dimensional channel estimation methods are critical. This work presents a low-complexity multidimensional channel parameter estimation via rotational invariance techniques (MD-ESPRIT). We use both the spatial smoothing and forward-backward averaging techniques to further explore data samples to extract multipath components (MPCs). We propose a one-dimensional Fast-Fourier-Transform- (FFT) and inverse-FFT-based approach to obtain the signal subspaces for angular frequency estimation. The geometry relationship between MPCs and positions is utilized for simultaneous positioning and mapping. Numerical results demonstrate the improved identifiability and low complexity performance of the proposed scheme.</p>}}, author = {{Jiang, Fan and Ge, Yu and Zhu, Meifang and Wymeersch, Henk}}, booktitle = {{2021 IEEE Wireless Communications and Networking Conference, WCNC 2021}}, isbn = {{9781728195056}}, issn = {{1525-3511}}, language = {{eng}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Wireless Communications and Networking Conference, WCNC}}, title = {{High-dimensional channel estimation for simultaneous localization and communications}}, url = {{http://dx.doi.org/10.1109/WCNC49053.2021.9417496}}, doi = {{10.1109/WCNC49053.2021.9417496}}, volume = {{2021-March}}, year = {{2021}}, }