TPMS Interference Suppression Based on Beamforming Technology

The Tire Pressure Monitoring System (TPMS) displays the state of a tire on a display to inform a driver of the relevant information, by means of a sensor installed on the tire of the vehicle. When the data measured from the tire are wirelessly transmitted to a receiving antenna located in the center...

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Main Authors: Cheol Park, Seong-min Kim, Suk-seung Hwang
Format: Article
Language:English
Published: SAGE Publishing 2013-11-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2013/681386
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spelling doaj-64759375751a4dfcb8dc2d92ad8820042020-11-25T03:44:02ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772013-11-01910.1155/2013/681386TPMS Interference Suppression Based on Beamforming TechnologyCheol Park0Seong-min Kim1Suk-seung Hwang2 Junsung E&R Inc., Gwangju, Republic of Korea Department of Advanced parts and Materials Engineering, Chosun University, Gwangju, Republic of Korea Department of Mechatronics Engineering, Chosun University, Gwangju, Republic of KoreaThe Tire Pressure Monitoring System (TPMS) displays the state of a tire on a display to inform a driver of the relevant information, by means of a sensor installed on the tire of the vehicle. When the data measured from the tire are wirelessly transmitted to a receiving antenna located in the center of the vehicle, the exact transmission of data is affected by the interference from various external electronic and electrical devices. In this paper, we suggest a minimum variance distortionless response (MVDR) beamformer based on the angle-of-arrival (AOA) vector for suppressing external interference and receiving accurate data. Although the MVDR beamformer effectively suppresses the interference, it has high computational complexity because of the calculation of an autocorrelation matrix. In order to address this issue, we also suggest a generalized sidelobe canceler (GSC) beamformer which does not have the same performance of the interference suppression to MVDR but also has low computational complexity. Since the signal from each tire can cause interference to others, we consider utilizing a unique Gold Code to each tire to minimize intertire interference and reduce power consumption of a battery installed in each tire.https://doi.org/10.1155/2013/681386
collection DOAJ
language English
format Article
sources DOAJ
author Cheol Park
Seong-min Kim
Suk-seung Hwang
spellingShingle Cheol Park
Seong-min Kim
Suk-seung Hwang
TPMS Interference Suppression Based on Beamforming Technology
International Journal of Distributed Sensor Networks
author_facet Cheol Park
Seong-min Kim
Suk-seung Hwang
author_sort Cheol Park
title TPMS Interference Suppression Based on Beamforming Technology
title_short TPMS Interference Suppression Based on Beamforming Technology
title_full TPMS Interference Suppression Based on Beamforming Technology
title_fullStr TPMS Interference Suppression Based on Beamforming Technology
title_full_unstemmed TPMS Interference Suppression Based on Beamforming Technology
title_sort tpms interference suppression based on beamforming technology
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2013-11-01
description The Tire Pressure Monitoring System (TPMS) displays the state of a tire on a display to inform a driver of the relevant information, by means of a sensor installed on the tire of the vehicle. When the data measured from the tire are wirelessly transmitted to a receiving antenna located in the center of the vehicle, the exact transmission of data is affected by the interference from various external electronic and electrical devices. In this paper, we suggest a minimum variance distortionless response (MVDR) beamformer based on the angle-of-arrival (AOA) vector for suppressing external interference and receiving accurate data. Although the MVDR beamformer effectively suppresses the interference, it has high computational complexity because of the calculation of an autocorrelation matrix. In order to address this issue, we also suggest a generalized sidelobe canceler (GSC) beamformer which does not have the same performance of the interference suppression to MVDR but also has low computational complexity. Since the signal from each tire can cause interference to others, we consider utilizing a unique Gold Code to each tire to minimize intertire interference and reduce power consumption of a battery installed in each tire.
url https://doi.org/10.1155/2013/681386
work_keys_str_mv AT cheolpark tpmsinterferencesuppressionbasedonbeamformingtechnology
AT seongminkim tpmsinterferencesuppressionbasedonbeamformingtechnology
AT sukseunghwang tpmsinterferencesuppressionbasedonbeamformingtechnology
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