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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Autores principales:	Wan Amirul Mahyiddin, Ahmad Loqman Ahmad Mazuki, Kaharudin Dimyati, Fuad Erman
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Localization wireless MIMO OFDM maximum likelihood Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/4d266fc7244749f2814848e2609294b8
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spelling	oai:doaj.org-article:4d266fc7244749f2814848e2609294b82021-11-18T00:08:57ZMaximum Likelihood Localization Method With MIMO-OFDM Transmission2169-353610.1109/ACCESS.2021.3125451https://doaj.org/article/4d266fc7244749f2814848e2609294b82021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9600808/https://doaj.org/toc/2169-3536In 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.Wan Amirul MahyiddinAhmad Loqman Ahmad MazukiKaharudin DimyatiFuad ErmanIEEEarticleLocalizationwirelessMIMOOFDMmaximum likelihoodElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 150355-150365 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Localization wireless MIMO OFDM maximum likelihood Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Localization wireless MIMO OFDM maximum likelihood Electrical engineering. Electronics. Nuclear engineering TK1-9971 Wan Amirul Mahyiddin Ahmad Loqman Ahmad Mazuki Kaharudin Dimyati Fuad Erman 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	Wan Amirul Mahyiddin Ahmad Loqman Ahmad Mazuki Kaharudin Dimyati Fuad Erman
author_facet	Wan Amirul Mahyiddin Ahmad Loqman Ahmad Mazuki Kaharudin Dimyati Fuad Erman
author_sort	Wan Amirul Mahyiddin
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	IEEE
publishDate	2021
url	https://doaj.org/article/4d266fc7244749f2814848e2609294b8
work_keys_str_mv	AT wanamirulmahyiddin maximumlikelihoodlocalizationmethodwithmimoofdmtransmission AT ahmadloqmanahmadmazuki maximumlikelihoodlocalizationmethodwithmimoofdmtransmission AT kaharudindimyati maximumlikelihoodlocalizationmethodwithmimoofdmtransmission AT fuaderman maximumlikelihoodlocalizationmethodwithmimoofdmtransmission
_version_	1718425224146321408

Maximum Likelihood Localization Method With MIMO-OFDM Transmission

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