基于长短期记忆神经网络的自适应容错方法

V249.3; 针对传统的全球导航卫星系统/惯性导航系统(global navigation satellite system/inertial navigation system,GNSS/INS)紧组合系统容错方法对故障处理方式单一、环境适应性差的问题,提出了一种基于长短期记忆神经网络的自适应故障容错方法.该方法基于长短期记忆神经网络建立GNSS伪距、伪距率预测模型.发生故障时,通过分量检测法定位故障观测的维度,并引入相对差分定位精度分析故障观测对系统定位精度的影响,从而实现隔离与重构策略的动态选择.利用实测数据从可见星数、几何构型、故障持续时间3个角度设置多组环境进行仿真实验.仿真结果表...

Full description

Saved in:
Bibliographic Details
Published in系统工程与电子技术 Vol. 45; no. 3; pp. 831 - 838
Main Authors 沈子涵, 赵修斌, 张闯, 张良, 刘鑫贤
Format Journal Article
LanguageChinese
Published 空军工程大学信息与导航学院,陕西西安710077%中国人民解放军95510部队,贵州 贵阳550029 01.03.2023
Subjects
长短期记忆神经网络
故障检测
容错
全球导航卫星系统/惯性导航系统紧组合
定位精度
Online AccessGet full text
ISSN1001-506X
DOI10.12305/j.issn.1001-506X.2023.03.25

Cover

Abstract V249.3; 针对传统的全球导航卫星系统/惯性导航系统(global navigation satellite system/inertial navigation system,GNSS/INS)紧组合系统容错方法对故障处理方式单一、环境适应性差的问题,提出了一种基于长短期记忆神经网络的自适应故障容错方法.该方法基于长短期记忆神经网络建立GNSS伪距、伪距率预测模型.发生故障时,通过分量检测法定位故障观测的维度,并引入相对差分定位精度分析故障观测对系统定位精度的影响,从而实现隔离与重构策略的动态选择.利用实测数据从可见星数、几何构型、故障持续时间3个角度设置多组环境进行仿真实验.仿真结果表明,所提方法对复杂环境具有更好的适应能力,可有效降低故障存续期间系统的定位误差,提高系统的故障检测性能.
AbstractList V249.3; 针对传统的全球导航卫星系统/惯性导航系统(global navigation satellite system/inertial navigation system,GNSS/INS)紧组合系统容错方法对故障处理方式单一、环境适应性差的问题,提出了一种基于长短期记忆神经网络的自适应故障容错方法.该方法基于长短期记忆神经网络建立GNSS伪距、伪距率预测模型.发生故障时,通过分量检测法定位故障观测的维度,并引入相对差分定位精度分析故障观测对系统定位精度的影响,从而实现隔离与重构策略的动态选择.利用实测数据从可见星数、几何构型、故障持续时间3个角度设置多组环境进行仿真实验.仿真结果表明,所提方法对复杂环境具有更好的适应能力,可有效降低故障存续期间系统的定位误差,提高系统的故障检测性能.
Author 张闯
张良
赵修斌
刘鑫贤
沈子涵
AuthorAffiliation 空军工程大学信息与导航学院,陕西西安710077%中国人民解放军95510部队,贵州 贵阳550029
AuthorAffiliation_xml – name: 空军工程大学信息与导航学院,陕西西安710077%中国人民解放军95510部队,贵州 贵阳550029
Author_FL ZHANG Liang
SHEN Zihan
ZHANG Chuang
ZHAO Xiubin
LIU Xinxian
Author_FL_xml – sequence: 1
  fullname: SHEN Zihan
– sequence: 2
  fullname: ZHAO Xiubin
– sequence: 3
  fullname: ZHANG Chuang
– sequence: 4
  fullname: ZHANG Liang
– sequence: 5
  fullname: LIU Xinxian
Author_xml – sequence: 1
  fullname: 沈子涵
– sequence: 2
  fullname: 赵修斌
– sequence: 3
  fullname: 张闯
– sequence: 4
  fullname: 张良
– sequence: 5
  fullname: 刘鑫贤
BookMark eNo9jz1Lw0Ach2-oYK39Fk5Czv_d5ZLcKMU3KLgouJVLcikNcgVP8WUSEd0sQisoxUwugkVwaor0y5ik-RZWFKcfPMPz8FtCFd3VCqEVAphQBnwtxh1jNCYAxOLgHGAKlGFgmPIKqv7jRVQ3puMDJ8zl4NpVJLIk_UrvysG0SN7yYTIbvWfTm-LluZj0is_7YjIsnq5nt6_l5VWW9rPRuOw_5g_j_GOwjBYieWhU_W9raH9zY6-xbTV3t3Ya603LEODc8rx5R6jIkaEH1AklCRkTivnS9WzKpQA7ELaSnnBV6HMlfZtKFniu7zuOK0JWQ6u_3lOpI6nbrbh7cqTnxdbZcTs4Dy9i83MWGFDOvgG0ZGOX
ClassificationCodes V249.3
ContentType Journal Article
Copyright Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
Copyright_xml – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
DBID 2B.
4A8
92I
93N
PSX
TCJ
DOI 10.12305/j.issn.1001-506X.2023.03.25
DatabaseName Wanfang Data Journals - Hong Kong
WANFANG Data Centre
Wanfang Data Journals
万方数据期刊 - 香港版
China Online Journals (COJ)
China Online Journals (COJ)
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
DocumentTitle_FL Adaptive fault-tolerant method based on long-short term memory neural network
EndPage 838
ExternalDocumentID xtgcydzjs202303025
GrantInformation_xml – fundername: 国家自然科学基金
  funderid: (41904014)
GroupedDBID -0Y
2B.
4A8
5XA
5XJ
92E
92I
93N
ABJNI
ACGFS
ALMA_UNASSIGNED_HOLDINGS
CCEZO
CUBFJ
CW9
PSX
TCJ
TGP
U1G
U5S
ID FETCH-LOGICAL-s1055-880749ef6ad8026da1d339e3ba78425a904c94ea897edb5eab42a3c87bb6679d3
ISSN 1001-506X
IngestDate Thu May 29 04:00:30 EDT 2025
IsPeerReviewed false
IsScholarly true
Issue 3
Keywords 长短期记忆神经网络
故障检测
容错
全球导航卫星系统/惯性导航系统紧组合
定位精度
Language Chinese
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-s1055-880749ef6ad8026da1d339e3ba78425a904c94ea897edb5eab42a3c87bb6679d3
PageCount 8
ParticipantIDs wanfang_journals_xtgcydzjs202303025
PublicationCentury 2000
PublicationDate 2023-03-01
PublicationDateYYYYMMDD 2023-03-01
PublicationDate_xml – month: 03
  year: 2023
  text: 2023-03-01
  day: 01
PublicationDecade 2020
PublicationTitle 系统工程与电子技术
PublicationTitle_FL Systems Engineering and Electronics
PublicationYear 2023
Publisher 空军工程大学信息与导航学院,陕西西安710077%中国人民解放军95510部队,贵州 贵阳550029
Publisher_xml – name: 空军工程大学信息与导航学院,陕西西安710077%中国人民解放军95510部队,贵州 贵阳550029
SSID ssib051375074
ssib002263377
ssib001102898
ssib057620160
ssib023168126
ssib023646287
ssj0042237
Score 2.3919053
Snippet V249.3; 针对传统的全球导航卫星系统/惯性导航系统(global navigation satellite system/inertial navigation system,GNSS/INS)紧组合系统容错方法对故障处理方式单一、环...
SourceID wanfang
SourceType Aggregation Database
StartPage 831
Title 基于长短期记忆神经网络的自适应容错方法
URI https://d.wanfangdata.com.cn/periodical/xtgcydzjs202303025
Volume 45
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVEBS
  databaseName: Inspec with Full Text
  issn: 1001-506X
  databaseCode: ADMLS
  dateStart: 20180801
  customDbUrl:
  isFulltext: true
  dateEnd: 99991231
  titleUrlDefault: https://www.ebsco.com/products/research-databases/inspec-full-text
  omitProxy: false
  ssIdentifier: ssib057620160
  providerName: EBSCOhost
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnR3LahRBsIkbED2IT3wTMH2SjTPTj-kGLz3JLEGMFxPILcxrIx5WcDegOYmI3hQhEZRgTl4Eg-ApCZKfcbPJX1jVMzszMUGisAy93dX16KqZqn4TMu7wLJYsZc1ERX6T64g3NU4XeuAq2hCeelmG45AzD-T0HL83L-ZHGndrq5aWevFEsnzkvpL_0SrkgV5xl-w_aLZEChmQBv3CEzQMz2PpmIaC6hYNDA05PlVIQ021oEGLhj4WmSkaSqonMR0qakIaOFgLAJREGAMYQkwEAVW2VjBFtVvkQEXEA5g5VlcAb5CEcqjyLB5DNccEYtaWOqdaW6LS5sCT0fyGy2EQbJEzxF9QaVlUlhlkCQgFViJlJfIRZyAsFeDNQZzKIA-5aKZcnGypeVSpA7AB_EQFohAXouPYCsB3zquarECgHNA6Vhz_AP6yBFjTw5Ji0MRj1aoxa-ZWGG3VI7C5dXCUnMApp8YvWDZyyJhr5XSBSK0tBP4FFpC-ssooa2lsd-PBO1OkwQ5Q5bk1lAmrKqXxuCWcRxcFcjQUgRyC-nNjQrYlmgtag0IODbNtBaVhKZGGWNg2lGIoEFJWqFDP8hgMFQdC6_B2LcvCBRCG4oRtzTPi2jvh2GsnS9eZnwRafCJYzQ-qwrUXIVV-gM8hbw3dX2HdNVKYKClMoMbw6OF8S_wf56E_6y0mz9Plx12EAhfliRNk1AOf7jTIqJmauf-w6g5g9FwbToCuBmPVvmsPL21zq-4H3qUgvaq7IlwG8XTVPRJIxMXhhDzS4xBa28ubhoyfJONDse78RSi7P7DTjjqLtVB29iw5U_RBx0z-QTlHRpYfnSenayeTXiC6v771a-vt_urOYP3b7tr63sb3_s7rwZfPg-13g5_vB9trg0-v9t583X_xsr-10t_Y3F_5uPthc_fH6kUy1wpnJ6ebxS0rzS5ejttUeByWztoySpXjyTRyU8Z0xuLIxyn6SDs80TyLwDKzNBZZFHMvYony41hKX6fsEml0nnSyy2Qs4UkcRwl34CvP25lQUeQ5MklcnEWU3L9CbhWCLxRf0e7CYXVePRbUNXKqerGvk0bv6VJ2A_oHvfhmYQa_AVGBxKw
linkProvider EBSCOhost
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E5%9F%BA%E4%BA%8E%E9%95%BF%E7%9F%AD%E6%9C%9F%E8%AE%B0%E5%BF%86%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E7%9A%84%E8%87%AA%E9%80%82%E5%BA%94%E5%AE%B9%E9%94%99%E6%96%B9%E6%B3%95&rft.jtitle=%E7%B3%BB%E7%BB%9F%E5%B7%A5%E7%A8%8B%E4%B8%8E%E7%94%B5%E5%AD%90%E6%8A%80%E6%9C%AF&rft.au=%E6%B2%88%E5%AD%90%E6%B6%B5&rft.au=%E8%B5%B5%E4%BF%AE%E6%96%8C&rft.au=%E5%BC%A0%E9%97%AF&rft.au=%E5%BC%A0%E8%89%AF&rft.date=2023-03-01&rft.pub=%E7%A9%BA%E5%86%9B%E5%B7%A5%E7%A8%8B%E5%A4%A7%E5%AD%A6%E4%BF%A1%E6%81%AF%E4%B8%8E%E5%AF%BC%E8%88%AA%E5%AD%A6%E9%99%A2%2C%E9%99%95%E8%A5%BF%E8%A5%BF%E5%AE%89710077%25%E4%B8%AD%E5%9B%BD%E4%BA%BA%E6%B0%91%E8%A7%A3%E6%94%BE%E5%86%9B95510%E9%83%A8%E9%98%9F%2C%E8%B4%B5%E5%B7%9E+%E8%B4%B5%E9%98%B3550029&rft.issn=1001-506X&rft.volume=45&rft.issue=3&rft.spage=831&rft.epage=838&rft_id=info:doi/10.12305%2Fj.issn.1001-506X.2023.03.25&rft.externalDocID=xtgcydzjs202303025
thumbnail_s http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fxtgcydzjs%2Fxtgcydzjs.jpg