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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
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