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Maximum likelihood localization method with MIMO-OFDM transmission

In this research, we propose to estimate the location of mobile users by using the maximum likelihood (ML) method with statistical properties of the transmission signal angle of departure (AOD) and received signal strength (RSS) from access points (APs) to user equipment (UE). Location estimation (L...

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Main Authors: Mahyiddin, Wan Amirul, Mazuki, Ahmad Loqman Ahmad, Dimyati, Kaharudin, Erman, Fuad
Format: Article
Published: Institute of Electrical and Electronics Engineers 2021
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.um.edu.my/26549/
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spelling my.um.eprints.265492022-03-17T01:11:04Z http://eprints.um.edu.my/26549/ Maximum likelihood localization method with MIMO-OFDM transmission Mahyiddin, Wan Amirul Mazuki, Ahmad Loqman Ahmad Dimyati, Kaharudin Erman, Fuad TK Electrical engineering. Electronics Nuclear engineering In this research, we propose to estimate the location of mobile users by using the maximum likelihood (ML) method with statistical properties of the transmission signal angle of departure (AOD) and received signal strength (RSS) from access points (APs) to user equipment (UE). Location estimation (LE) is performed at each UE by using a signal from a multiple-input, multiple-output (MIMO) antenna system at the AP, which transmits specially designed, MIMO-orthogonal frequency division multiplexing (MIMO-OFDM), beamforming signals. The ML localization method is derived from statistical models of AOD and RSS of the OFDM signal. We also derive the theoretical root mean square error (RMSE) given the statistical models. Based on the results, the ML with the AOD and RSS methods has a lower RMSE than the other methods and can achieve close to the theoretical RMSE. The RMSE can also be significantly reduced by using a higher number of APs along with proper AP placement. In addition, the LE performance increases as the number of antennas and the number of subcarriers increases but with diminishing effectiveness. The developed RMSE calculation tool in this paper can be an important instrument to investigate and plan the deployment of APs for localization and can be further extended into larger-scale studies. Institute of Electrical and Electronics Engineers 2021 Article PeerReviewed Mahyiddin, Wan Amirul and Mazuki, Ahmad Loqman Ahmad and Dimyati, Kaharudin and Erman, Fuad (2021) Maximum likelihood localization method with MIMO-OFDM transmission. IEEE Access, 9. pp. 150355-150365. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2021.3125451 <https://doi.org/10.1109/ACCESS.2021.3125451>. 10.1109/ACCESS.2021.3125451
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mahyiddin, Wan Amirul
Mazuki, Ahmad Loqman Ahmad
Dimyati, Kaharudin
Erman, Fuad
Maximum likelihood localization method with MIMO-OFDM transmission
description In this research, we propose to estimate the location of mobile users by using the maximum likelihood (ML) method with statistical properties of the transmission signal angle of departure (AOD) and received signal strength (RSS) from access points (APs) to user equipment (UE). Location estimation (LE) is performed at each UE by using a signal from a multiple-input, multiple-output (MIMO) antenna system at the AP, which transmits specially designed, MIMO-orthogonal frequency division multiplexing (MIMO-OFDM), beamforming signals. The ML localization method is derived from statistical models of AOD and RSS of the OFDM signal. We also derive the theoretical root mean square error (RMSE) given the statistical models. Based on the results, the ML with the AOD and RSS methods has a lower RMSE than the other methods and can achieve close to the theoretical RMSE. The RMSE can also be significantly reduced by using a higher number of APs along with proper AP placement. In addition, the LE performance increases as the number of antennas and the number of subcarriers increases but with diminishing effectiveness. The developed RMSE calculation tool in this paper can be an important instrument to investigate and plan the deployment of APs for localization and can be further extended into larger-scale studies.
format Article
author Mahyiddin, Wan Amirul
Mazuki, Ahmad Loqman Ahmad
Dimyati, Kaharudin
Erman, Fuad
author_facet Mahyiddin, Wan Amirul
Mazuki, Ahmad Loqman Ahmad
Dimyati, Kaharudin
Erman, Fuad
author_sort Mahyiddin, Wan Amirul
title Maximum likelihood localization method with MIMO-OFDM transmission
title_short Maximum likelihood localization method with MIMO-OFDM transmission
title_full Maximum likelihood localization method with MIMO-OFDM transmission
title_fullStr Maximum likelihood localization method with MIMO-OFDM transmission
title_full_unstemmed Maximum likelihood localization method with MIMO-OFDM transmission
title_sort maximum likelihood localization method with mimo-ofdm transmission
publisher Institute of Electrical and Electronics Engineers
publishDate 2021
url http://eprints.um.edu.my/26549/
_version_ 1735409426993512448
score 13.2442

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