Research of the Improved Kalman Filtering Algorithm on How to Accelerate the Convergence Speed of GPS Positioning

Guoliang Sun; Liu Yang

doi:10.1109/ICCT50939.2020.9295808

Research of the Improved Kalman Filtering Algorithm on How to Accelerate the Convergence Speed of GPS Positioning

Guoliang Sun
, Liu Yang

电子信息工程学院

Beihang University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

Based on the characteristics of the Kalman filtering algorithm and least-squares algorithm based on Tikhonov regularization method, an improved Kalman filtering algorithm is designed to accelerate the convergence speed of GPS positioning. In the initial short epochs, the least-squares algorithm based on Tikhonov regularization method is used to obtain the floating point solution and its corresponding covariance matrix, which are used to assist the Kalman filtering to accelerate the convergence speed. Through computer simulation and actual test data analysis, the improved method proposed in the paper has a faster convergence speed compared with the traditional Kalman filtering algorithm.

源语言	英语
主期刊名	2020 IEEE 20th International Conference on Communication Technology, ICCT 2020
出版商	Institute of Electrical and Electronics Engineers Inc.
页	543-546
页数	4
ISBN（电子版）	9781728181417
DOI	https://doi.org/10.1109/ICCT50939.2020.9295808
出版状态	已出版 - 28 10月 2020
活动	20th IEEE International Conference on Communication Technology, ICCT 2020 - Nanning, 中国期限: 28 10月 2020 → 31 10月 2020

出版系列

姓名	International Conference on Communication Technology Proceedings, ICCT
卷	2020-October

会议

会议	20th IEEE International Conference on Communication Technology, ICCT 2020
国家/地区	中国
市	Nanning
时期	28/10/20 → 31/10/20

访问文件

10.1109/ICCT50939.2020.9295808

其它文件与链接

链接到 Scopus 的出版物

引用此

Sun, G., & Yang, L. (2020). Research of the Improved Kalman Filtering Algorithm on How to Accelerate the Convergence Speed of GPS Positioning. 在 2020 IEEE 20th International Conference on Communication Technology, ICCT 2020 (页码 543-546). 文章 9295808 (International Conference on Communication Technology Proceedings, ICCT; 卷 2020-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCT50939.2020.9295808

Sun, Guoliang ; Yang, Liu. / Research of the Improved Kalman Filtering Algorithm on How to Accelerate the Convergence Speed of GPS Positioning. 2020 IEEE 20th International Conference on Communication Technology, ICCT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 页码 543-546 (International Conference on Communication Technology Proceedings, ICCT).

@inproceedings{c615627d58b741dfa8452db6838ac279,

title = "Research of the Improved Kalman Filtering Algorithm on How to Accelerate the Convergence Speed of GPS Positioning",

abstract = "Based on the characteristics of the Kalman filtering algorithm and least-squares algorithm based on Tikhonov regularization method, an improved Kalman filtering algorithm is designed to accelerate the convergence speed of GPS positioning. In the initial short epochs, the least-squares algorithm based on Tikhonov regularization method is used to obtain the floating point solution and its corresponding covariance matrix, which are used to assist the Kalman filtering to accelerate the convergence speed. Through computer simulation and actual test data analysis, the improved method proposed in the paper has a faster convergence speed compared with the traditional Kalman filtering algorithm.",

keywords = "Kalman filtering, Tikhonov regularization, the convergence speed",

author = "Guoliang Sun and Liu Yang",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 20th IEEE International Conference on Communication Technology, ICCT 2020 ; Conference date: 28-10-2020 Through 31-10-2020",

year = "2020",

month = oct,

day = "28",

doi = "10.1109/ICCT50939.2020.9295808",

language = "英语",

series = "International Conference on Communication Technology Proceedings, ICCT",

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booktitle = "2020 IEEE 20th International Conference on Communication Technology, ICCT 2020",

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Sun, G & Yang, L 2020, Research of the Improved Kalman Filtering Algorithm on How to Accelerate the Convergence Speed of GPS Positioning. 在 2020 IEEE 20th International Conference on Communication Technology, ICCT 2020., 9295808, International Conference on Communication Technology Proceedings, ICCT, 卷 2020-October, Institute of Electrical and Electronics Engineers Inc., 页码 543-546, 20th IEEE International Conference on Communication Technology, ICCT 2020, Nanning, 中国, 28/10/20. https://doi.org/10.1109/ICCT50939.2020.9295808

Research of the Improved Kalman Filtering Algorithm on How to Accelerate the Convergence Speed of GPS Positioning. / Sun, Guoliang; Yang, Liu.
2020 IEEE 20th International Conference on Communication Technology, ICCT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 页码 543-546 9295808 (International Conference on Communication Technology Proceedings, ICCT; 卷 2020-October).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Research of the Improved Kalman Filtering Algorithm on How to Accelerate the Convergence Speed of GPS Positioning

AU - Sun, Guoliang

AU - Yang, Liu

PY - 2020/10/28

Y1 - 2020/10/28

N2 - Based on the characteristics of the Kalman filtering algorithm and least-squares algorithm based on Tikhonov regularization method, an improved Kalman filtering algorithm is designed to accelerate the convergence speed of GPS positioning. In the initial short epochs, the least-squares algorithm based on Tikhonov regularization method is used to obtain the floating point solution and its corresponding covariance matrix, which are used to assist the Kalman filtering to accelerate the convergence speed. Through computer simulation and actual test data analysis, the improved method proposed in the paper has a faster convergence speed compared with the traditional Kalman filtering algorithm.

AB - Based on the characteristics of the Kalman filtering algorithm and least-squares algorithm based on Tikhonov regularization method, an improved Kalman filtering algorithm is designed to accelerate the convergence speed of GPS positioning. In the initial short epochs, the least-squares algorithm based on Tikhonov regularization method is used to obtain the floating point solution and its corresponding covariance matrix, which are used to assist the Kalman filtering to accelerate the convergence speed. Through computer simulation and actual test data analysis, the improved method proposed in the paper has a faster convergence speed compared with the traditional Kalman filtering algorithm.

KW - Kalman filtering

KW - Tikhonov regularization

KW - the convergence speed

UR - https://www.scopus.com/pages/publications/85099597729

U2 - 10.1109/ICCT50939.2020.9295808

DO - 10.1109/ICCT50939.2020.9295808

M3 - 会议稿件

AN - SCOPUS:85099597729

T3 - International Conference on Communication Technology Proceedings, ICCT

SP - 543

EP - 546

BT - 2020 IEEE 20th International Conference on Communication Technology, ICCT 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 20th IEEE International Conference on Communication Technology, ICCT 2020

Y2 - 28 October 2020 through 31 October 2020

ER -

Sun G, Yang L. Research of the Improved Kalman Filtering Algorithm on How to Accelerate the Convergence Speed of GPS Positioning. 在 2020 IEEE 20th International Conference on Communication Technology, ICCT 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 页码 543-546. 9295808. (International Conference on Communication Technology Proceedings, ICCT). doi: 10.1109/ICCT50939.2020.9295808

Research of the Improved Kalman Filtering Algorithm on How to Accelerate the Convergence Speed of GPS Positioning

摘要

出版系列

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