Interference Mitigation Based on Low Complexity Subspace Tracking Method for Vehicle Positioning

Advanced driver assistance systems and automatic driving have drawn lots of attentions due to user’s multiapplication needs. Among different technologies, the integration of Inertial Navigation System (INS) and Global Navigation Satellite System (GNSS) is a key technique with the decreasing costs of...

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Main Authors: Ping Zhang, Qiang Wu, Binbin Jing
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2022/7502191
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author Ping Zhang
Qiang Wu
Binbin Jing
author_facet Ping Zhang
Qiang Wu
Binbin Jing
author_sort Ping Zhang
collection DOAJ
description Advanced driver assistance systems and automatic driving have drawn lots of attentions due to user’s multiapplication needs. Among different technologies, the integration of Inertial Navigation System (INS) and Global Navigation Satellite System (GNSS) is a key technique with the decreasing costs of Inertial Measurement Unit (IMU) and the increasing deployment of GNSS for navigation applications. Although the integration may have immune ability to interference in a certain extent, interference suppression strategy applied on the integration system can greatly improve the performance. A complete framework including interference monitor, detection, and mitigation is provided jointly using subspace tracking method and Kalman filter measurements innovation of INS and GNSS. The proposed monitor is simple, efficient, and can decide when to start the interference mitigation procedure, which can reduce the computation complexity significantly; Subspace-based method is introduced to track the interference basis matrix that can be feed to RootMUSIC to detect the frequency of interference, followed by the interference mitigation with a notch filter. The proposed framework has superior performance than the well-known time-frequency algorithm, such as short-time Fourier transform (STFT) and smoothed pseudo Wigner-Ville distribution (SPWVD), and can improve the performance of INS/GNSS system in the presence of interference with simulation verification.
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spelling doaj-art-cc1f7fc49c7a4ee0a7900fbdc961f3a32025-02-03T01:08:45ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/7502191Interference Mitigation Based on Low Complexity Subspace Tracking Method for Vehicle PositioningPing Zhang0Qiang Wu1Binbin Jing2School of Engineering and TechnologySchool of Transportation and Civil EngineeringSchool of Transportation and Civil EngineeringAdvanced driver assistance systems and automatic driving have drawn lots of attentions due to user’s multiapplication needs. Among different technologies, the integration of Inertial Navigation System (INS) and Global Navigation Satellite System (GNSS) is a key technique with the decreasing costs of Inertial Measurement Unit (IMU) and the increasing deployment of GNSS for navigation applications. Although the integration may have immune ability to interference in a certain extent, interference suppression strategy applied on the integration system can greatly improve the performance. A complete framework including interference monitor, detection, and mitigation is provided jointly using subspace tracking method and Kalman filter measurements innovation of INS and GNSS. The proposed monitor is simple, efficient, and can decide when to start the interference mitigation procedure, which can reduce the computation complexity significantly; Subspace-based method is introduced to track the interference basis matrix that can be feed to RootMUSIC to detect the frequency of interference, followed by the interference mitigation with a notch filter. The proposed framework has superior performance than the well-known time-frequency algorithm, such as short-time Fourier transform (STFT) and smoothed pseudo Wigner-Ville distribution (SPWVD), and can improve the performance of INS/GNSS system in the presence of interference with simulation verification.http://dx.doi.org/10.1155/2022/7502191
spellingShingle Ping Zhang
Qiang Wu
Binbin Jing
Interference Mitigation Based on Low Complexity Subspace Tracking Method for Vehicle Positioning
Discrete Dynamics in Nature and Society
title Interference Mitigation Based on Low Complexity Subspace Tracking Method for Vehicle Positioning
title_full Interference Mitigation Based on Low Complexity Subspace Tracking Method for Vehicle Positioning
title_fullStr Interference Mitigation Based on Low Complexity Subspace Tracking Method for Vehicle Positioning
title_full_unstemmed Interference Mitigation Based on Low Complexity Subspace Tracking Method for Vehicle Positioning
title_short Interference Mitigation Based on Low Complexity Subspace Tracking Method for Vehicle Positioning
title_sort interference mitigation based on low complexity subspace tracking method for vehicle positioning
url http://dx.doi.org/10.1155/2022/7502191
work_keys_str_mv AT pingzhang interferencemitigationbasedonlowcomplexitysubspacetrackingmethodforvehiclepositioning
AT qiangwu interferencemitigationbasedonlowcomplexitysubspacetrackingmethodforvehiclepositioning
AT binbinjing interferencemitigationbasedonlowcomplexitysubspacetrackingmethodforvehiclepositioning