An Overall Weighted Fusion Algorithm Based on Dynamic Optimal Estimation

Zehu Wang; Guanglin He; Yukuan Liu

doi:10.1109/ICCECT57938.2023.10140302

An Overall Weighted Fusion Algorithm Based on Dynamic Optimal Estimation

Zehu Wang^*
, Guanglin He^*
, Yukuan Liu

^*Corresponding author for this work

Beijing Institute of Technology

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

1 Citation (Scopus)

Abstract

Based on the background of cooperative detection of target by multiple UAVs, this paper proposes an efficient multi-sensor data fusion algorithm, which is called the overall weighted fusion algorithm based on dynamic optimal estimation (abbreviated as DOE-OWFA) Based on the weighted fusion by the least squares method, the algorithm makes full use of the state estimation property of Kalman Alter for data processing and state estimation. In order to evaluate the performance of the algorithm, we conducted simulation tests with the help of MATLAB. The simulation results show that the algorithm proposed in this paper has higher fusion accuracy and better robustness compared with the same type of algorithms.

Original language	English
Title of host publication	2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	750-754
Number of pages	5
ISBN (Electronic)	9798350399028
DOIs	https://doi.org/10.1109/ICCECT57938.2023.10140302
Publication status	Published - 2023
Externally published	Yes
Event	2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023 - Jilin, China Duration: 28 Apr 2023 → 30 Apr 2023

Publication series

Name	2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023

Conference

Conference	2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023
Country/Territory	China
City	Jilin
Period	28/04/23 → 30/04/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Data fusion
Kalman filter
Least squares

Access to Document

10.1109/ICCECT57938.2023.10140302

Cite this

Wang, Z., He, G., & Liu, Y. (2023). An Overall Weighted Fusion Algorithm Based on Dynamic Optimal Estimation. In 2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023 (pp. 750-754). (2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCECT57938.2023.10140302

Wang, Zehu ; He, Guanglin ; Liu, Yukuan. / An Overall Weighted Fusion Algorithm Based on Dynamic Optimal Estimation. 2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 750-754 (2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023).

@inproceedings{72ccb8f3bdf94c4195554b285809bae7,

title = "An Overall Weighted Fusion Algorithm Based on Dynamic Optimal Estimation",

abstract = "Based on the background of cooperative detection of target by multiple UAVs, this paper proposes an efficient multi-sensor data fusion algorithm, which is called the overall weighted fusion algorithm based on dynamic optimal estimation (abbreviated as DOE-OWFA) Based on the weighted fusion by the least squares method, the algorithm makes full use of the state estimation property of Kalman Alter for data processing and state estimation. In order to evaluate the performance of the algorithm, we conducted simulation tests with the help of MATLAB. The simulation results show that the algorithm proposed in this paper has higher fusion accuracy and better robustness compared with the same type of algorithms.",

keywords = "Data fusion, Kalman filter, Least squares",

author = "Zehu Wang and Guanglin He and Yukuan Liu",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023 ; Conference date: 28-04-2023 Through 30-04-2023",

year = "2023",

doi = "10.1109/ICCECT57938.2023.10140302",

language = "English",

series = "2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023",

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

pages = "750--754",

booktitle = "2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023",

address = "United States",

}

Wang, Z, He, G & Liu, Y 2023, An Overall Weighted Fusion Algorithm Based on Dynamic Optimal Estimation. in 2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023. 2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023, Institute of Electrical and Electronics Engineers Inc., pp. 750-754, 2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023, Jilin, China, 28/04/23. https://doi.org/10.1109/ICCECT57938.2023.10140302

An Overall Weighted Fusion Algorithm Based on Dynamic Optimal Estimation. / Wang, Zehu; He, Guanglin; Liu, Yukuan.
2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 750-754 (2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023).

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

TY - GEN

T1 - An Overall Weighted Fusion Algorithm Based on Dynamic Optimal Estimation

AU - Wang, Zehu

AU - He, Guanglin

AU - Liu, Yukuan

PY - 2023

Y1 - 2023

N2 - Based on the background of cooperative detection of target by multiple UAVs, this paper proposes an efficient multi-sensor data fusion algorithm, which is called the overall weighted fusion algorithm based on dynamic optimal estimation (abbreviated as DOE-OWFA) Based on the weighted fusion by the least squares method, the algorithm makes full use of the state estimation property of Kalman Alter for data processing and state estimation. In order to evaluate the performance of the algorithm, we conducted simulation tests with the help of MATLAB. The simulation results show that the algorithm proposed in this paper has higher fusion accuracy and better robustness compared with the same type of algorithms.

AB - Based on the background of cooperative detection of target by multiple UAVs, this paper proposes an efficient multi-sensor data fusion algorithm, which is called the overall weighted fusion algorithm based on dynamic optimal estimation (abbreviated as DOE-OWFA) Based on the weighted fusion by the least squares method, the algorithm makes full use of the state estimation property of Kalman Alter for data processing and state estimation. In order to evaluate the performance of the algorithm, we conducted simulation tests with the help of MATLAB. The simulation results show that the algorithm proposed in this paper has higher fusion accuracy and better robustness compared with the same type of algorithms.

KW - Data fusion

KW - Kalman filter

KW - Least squares

UR - https://www.scopus.com/pages/publications/85162863821

U2 - 10.1109/ICCECT57938.2023.10140302

DO - 10.1109/ICCECT57938.2023.10140302

M3 - Conference contribution

AN - SCOPUS:85162863821

T3 - 2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023

SP - 750

EP - 754

BT - 2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023

Y2 - 28 April 2023 through 30 April 2023

ER -

Wang Z, He G, Liu Y. An Overall Weighted Fusion Algorithm Based on Dynamic Optimal Estimation. In 2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 750-754. (2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023). doi: 10.1109/ICCECT57938.2023.10140302

An Overall Weighted Fusion Algorithm Based on Dynamic Optimal Estimation

Abstract

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UN SDGs

Keywords

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