A Data Fusion Algorithm and Simulation Based on TQMM

Ke Zhang; Zeyang Wang; Huiling Li

Simulation Tools and Techniques. 11th International Conference, SIMUtools 2019, Chengdu, China, July 8–10, 2019, Proceedings

Research Article

A Data Fusion Algorithm and Simulation Based on TQMM

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@INPROCEEDINGS{10.1007/978-3-030-32216-8_20,
    author={Ke Zhang and Zeyang Wang and Huiling Li},
    title={A Data Fusion Algorithm and Simulation Based on TQMM},
    proceedings={Simulation Tools and Techniques. 11th International Conference, SIMUtools 2019, Chengdu, China, July 8--10, 2019, Proceedings},
    proceedings_a={SIMUTOOLS},
    year={2019},
    month={10},
    keywords={Data fusion Multi-sensor Track fusion TQMM},
    doi={10.1007/978-3-030-32216-8_20}
}

Ke Zhang
Zeyang Wang
Huiling Li
Year: 2019
A Data Fusion Algorithm and Simulation Based on TQMM
SIMUTOOLS
Springer
DOI: 10.1007/978-3-030-32216-8_20

Ke Zhang^,*, Zeyang Wang¹, Huiling Li²

1: Sichuan Jiuzhou Electronic Technology Co., Ltd.
2: University of Electronic Science and Technology of China

*Contact email: kezhang@uestc.edu.cn

Abstract

Asynchronous data fusion is more practical than synchronous data fusion, the model of track-to-track fusion in this case has been established and the concept of Track Quality with Multiple Model (TQMM) was put forward, furthermore a data fusion algorithm is proposed, in which the TQMM is used to assign weights, to improve tracking precision in asynchronous multi-sensor data fusion system. The simulation results show that the algorithm has a better tracking performance compared with original algorithms.

Keywords: Data fusion Multi-sensor Track fusion TQMM

Published: 2019-10-24
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-32216-8_20

A Data Fusion Algorithm and Simulation Based on TQMM

Abstract

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