A Matching Algorithm with Gravity Field Matching Characteristic for Underwater Gravity-aided Inertial Navigation

Chenglong Wang; Bo Wang; Zhihong Deng; Mengyin Fu

doi:10.1109/CAC51589.2020.9326830

A Matching Algorithm with Gravity Field Matching Characteristic for Underwater Gravity-aided Inertial Navigation

Chenglong Wang, Bo Wang, Zhihong Deng, Mengyin Fu

School of Automation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

Matching algorithm is one of the key techniques of underwater gravity-aided inertial navigation system. Gravity anomaly data is used in the conventional gravity matching algorithms, however the neglect of gravity matching characteristic of gravity field may cause mismatching and decrease of navigation accuracy sometimes. Therefore, a matching algorithm with gravity matching characteristic is proposed which is based on the vector matching algorithm. In the proposed algorithm, a particle weight optimal combination based on gravity matching characteristic is used to improve particle filter model. Experiments show that the matching result of the proposed algorithm is more precise and reliable than which of the vector matching algorithm.

Original language	English
Title of host publication	Proceedings - 2020 Chinese Automation Congress, CAC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6250-6253
Number of pages	4
ISBN (Electronic)	9781728176871
DOIs	https://doi.org/10.1109/CAC51589.2020.9326830
Publication status	Published - 6 Nov 2020
Event	2020 Chinese Automation Congress, CAC 2020 - Shanghai, China Duration: 6 Nov 2020 → 8 Nov 2020

Publication series

Name	Proceedings - 2020 Chinese Automation Congress, CAC 2020

Conference

Conference	2020 Chinese Automation Congress, CAC 2020
Country/Territory	China
City	Shanghai
Period	6/11/20 → 8/11/20

Keywords

gravity filed characteristic
matching algorithm
underwater gravity-aided inertial navigation

Access to Document

10.1109/CAC51589.2020.9326830

Cite this

Wang, C., Wang, B., Deng, Z., & Fu, M. (2020). A Matching Algorithm with Gravity Field Matching Characteristic for Underwater Gravity-aided Inertial Navigation. In Proceedings - 2020 Chinese Automation Congress, CAC 2020 (pp. 6250-6253). Article 9326830 (Proceedings - 2020 Chinese Automation Congress, CAC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAC51589.2020.9326830

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title = "A Matching Algorithm with Gravity Field Matching Characteristic for Underwater Gravity-aided Inertial Navigation",

abstract = "Matching algorithm is one of the key techniques of underwater gravity-aided inertial navigation system. Gravity anomaly data is used in the conventional gravity matching algorithms, however the neglect of gravity matching characteristic of gravity field may cause mismatching and decrease of navigation accuracy sometimes. Therefore, a matching algorithm with gravity matching characteristic is proposed which is based on the vector matching algorithm. In the proposed algorithm, a particle weight optimal combination based on gravity matching characteristic is used to improve particle filter model. Experiments show that the matching result of the proposed algorithm is more precise and reliable than which of the vector matching algorithm.",

keywords = "gravity filed characteristic, matching algorithm, underwater gravity-aided inertial navigation",

author = "Chenglong Wang and Bo Wang and Zhihong Deng and Mengyin Fu",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Chinese Automation Congress, CAC 2020 ; Conference date: 06-11-2020 Through 08-11-2020",

year = "2020",

month = nov,

day = "6",

doi = "10.1109/CAC51589.2020.9326830",

language = "English",

series = "Proceedings - 2020 Chinese Automation Congress, CAC 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Wang, C, Wang, B, Deng, Z & Fu, M 2020, A Matching Algorithm with Gravity Field Matching Characteristic for Underwater Gravity-aided Inertial Navigation. in Proceedings - 2020 Chinese Automation Congress, CAC 2020., 9326830, Proceedings - 2020 Chinese Automation Congress, CAC 2020, Institute of Electrical and Electronics Engineers Inc., pp. 6250-6253, 2020 Chinese Automation Congress, CAC 2020, Shanghai, China, 6/11/20. https://doi.org/10.1109/CAC51589.2020.9326830

A Matching Algorithm with Gravity Field Matching Characteristic for Underwater Gravity-aided Inertial Navigation. / Wang, Chenglong; Wang, Bo; Deng, Zhihong et al.
Proceedings - 2020 Chinese Automation Congress, CAC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 6250-6253 9326830 (Proceedings - 2020 Chinese Automation Congress, CAC 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Matching Algorithm with Gravity Field Matching Characteristic for Underwater Gravity-aided Inertial Navigation

AU - Wang, Chenglong

AU - Wang, Bo

AU - Deng, Zhihong

AU - Fu, Mengyin

PY - 2020/11/6

Y1 - 2020/11/6

N2 - Matching algorithm is one of the key techniques of underwater gravity-aided inertial navigation system. Gravity anomaly data is used in the conventional gravity matching algorithms, however the neglect of gravity matching characteristic of gravity field may cause mismatching and decrease of navigation accuracy sometimes. Therefore, a matching algorithm with gravity matching characteristic is proposed which is based on the vector matching algorithm. In the proposed algorithm, a particle weight optimal combination based on gravity matching characteristic is used to improve particle filter model. Experiments show that the matching result of the proposed algorithm is more precise and reliable than which of the vector matching algorithm.

AB - Matching algorithm is one of the key techniques of underwater gravity-aided inertial navigation system. Gravity anomaly data is used in the conventional gravity matching algorithms, however the neglect of gravity matching characteristic of gravity field may cause mismatching and decrease of navigation accuracy sometimes. Therefore, a matching algorithm with gravity matching characteristic is proposed which is based on the vector matching algorithm. In the proposed algorithm, a particle weight optimal combination based on gravity matching characteristic is used to improve particle filter model. Experiments show that the matching result of the proposed algorithm is more precise and reliable than which of the vector matching algorithm.

KW - gravity filed characteristic

KW - matching algorithm

KW - underwater gravity-aided inertial navigation

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U2 - 10.1109/CAC51589.2020.9326830

DO - 10.1109/CAC51589.2020.9326830

M3 - Conference contribution

AN - SCOPUS:85100942608

T3 - Proceedings - 2020 Chinese Automation Congress, CAC 2020

SP - 6250

EP - 6253

BT - Proceedings - 2020 Chinese Automation Congress, CAC 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 Chinese Automation Congress, CAC 2020

Y2 - 6 November 2020 through 8 November 2020

ER -

Wang C, Wang B, Deng Z, Fu M. A Matching Algorithm with Gravity Field Matching Characteristic for Underwater Gravity-aided Inertial Navigation. In Proceedings - 2020 Chinese Automation Congress, CAC 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 6250-6253. 9326830. (Proceedings - 2020 Chinese Automation Congress, CAC 2020). doi: 10.1109/CAC51589.2020.9326830

A Matching Algorithm with Gravity Field Matching Characteristic for Underwater Gravity-aided Inertial Navigation

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