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Dataset supporting the University of Southampton Doctoral Thesis "Wireless localization in millimeter wave systems"

Dataset supporting the University of Southampton Doctoral Thesis "Wireless localization in millimeter wave systems"
Dataset supporting the University of Southampton Doctoral Thesis "Wireless localization in millimeter wave systems"
Dataset supporting the University of Southampton Doctoral Thesis "Wireless localization in millimeter wave systems" This dataset includes matlab files, which can produce all results figures in the thesis. The data is sorted in four files: Paper 1 (Data and Plot and results figures), Paper 2 (Data and Plot and results figures), Paper 3 (Data and Plot and results figures) and Thesis Background data. This work was supported in part by the Engineering and Physical Sciences Research Council (EPSRC) Project under Grant EP/P034284/1 and Grant EP/P034284/1. Related publication: Li, Kunlun, El-Hajjar, Mohammed and Yang, Lie-Liang (2021) Millimeter-wave based localization using a two-stage channel estimation relying on few-bit ADCs. IEEE Open Journal of the Communications Society. (In Press) https://eprints.soton.ac.uk/450487/
University of Southampton
Li, Kunlun
6cb29fc3-c9d5-474b-ad21-a8fb79dc47ae
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Li, Kunlun
6cb29fc3-c9d5-474b-ad21-a8fb79dc47ae
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f

Li, Kunlun (2024) Dataset supporting the University of Southampton Doctoral Thesis "Wireless localization in millimeter wave systems". University of Southampton doi:10.5258/SOTON/D2890 [Dataset]

Record type: Dataset

Abstract

Dataset supporting the University of Southampton Doctoral Thesis "Wireless localization in millimeter wave systems" This dataset includes matlab files, which can produce all results figures in the thesis. The data is sorted in four files: Paper 1 (Data and Plot and results figures), Paper 2 (Data and Plot and results figures), Paper 3 (Data and Plot and results figures) and Thesis Background data. This work was supported in part by the Engineering and Physical Sciences Research Council (EPSRC) Project under Grant EP/P034284/1 and Grant EP/P034284/1. Related publication: Li, Kunlun, El-Hajjar, Mohammed and Yang, Lie-Liang (2021) Millimeter-wave based localization using a two-stage channel estimation relying on few-bit ADCs. IEEE Open Journal of the Communications Society. (In Press) https://eprints.soton.ac.uk/450487/

Archive
thesisdata.zip - Dataset
Restricted to System admin until 2 December 2024.
Available under License Creative Commons Attribution.
Text
README.txt - Dataset
Restricted to System admin until 2 December 2024.
Available under License Creative Commons Attribution.

More information

Published date: 2 December 2024
Related URLs:
Learn more about School of Electronics and Computer Science research Learn more about Next Generation Wireless research

Identifiers

Local EPrints ID: 485365
URI: http://eprints.soton.ac.uk/id/eprint/485365
DOI: doi:10.5258/SOTON/D2890
PURE UUID: 60b7f49c-1a94-4796-9541-fee2d79c60cd
ORCID for Kunlun Li: ORCID iD orcid.org/0000-0002-5797-6560
ORCID for Lie-Liang Yang: ORCID iD orcid.org/0000-0002-2032-9327
ORCID for Mohammed El-Hajjar: ORCID iD orcid.org/0000-0002-7987-1401

Catalogue record

Date deposited: 05 Dec 2023 17:36
Last modified: 07 Dec 2023 02:56

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Contributors

Creator: Kunlun Li ORCID iD
Research team head: Lie-Liang Yang ORCID iD
Research team head: Mohammed El-Hajjar ORCID iD

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