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Fusion Technology of Multi-radar Target Based on VTS

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Communications, Signal Processing, and Systems (CSPS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

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Abstract

In this paper, an adaptive track fusion algorithm is proposed based on the fusion algorithm combining the optimal weighting and recursive least squares method. Simulation results show that the method can effectively improve the accuracy of target detection in longitude, latitude, speed and heading. The ship tracks are more accurate after multi-source information fusion.

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References

  1. Huang, Y., Zhou, Y., Zhang, H.: Algorithm of Weighting Factors Dynamic Allocation in Multi-radar Track Weighted Fusion. Harbin Engineering University, Harbin (2018)

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  2. Guo, L.: Study on radar and AIS information fusion based on fuzzy theory and neural network. Master degree thesis. Dalian Maritime University, Dalian (2016)

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  3. Zhou, J.: Application and research of multi radar track fusion algorithm. Master degree thesis. Yunnan University, Kunming (2012)

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  4. Sun, Y.: The application of multi-source information fusion. Master degree thesis. Dalian Maritime University, Dalian (2014)

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  5. Sun, Y., Jing, B., Zhang, J.: Multi-sensor Information Fusion Based on the Combination of Optimal Weight and Recursive Least Square Algorithm. Air Force Engineering University, Xi’an (2004)

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Acknowledgments

This research was supported by the National Key Technology R&D Program (2015BAG20B02).

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Authors and Affiliations

  1. Dalian Maritime University, Dalian, China

    Huabin Liu & Zhiqi Wu

Authors
  1. Huabin Liu
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  2. Zhiqi Wu
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Corresponding author

Correspondence to Huabin Liu .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, Texas, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  3. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Min Jia

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Xuhong Feng

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2019 Springer Nature Singapore Pte Ltd.

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Liu, H., Wu, Z. (2019). Fusion Technology of Multi-radar Target Based on VTS. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_159

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_159

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

  • eBook Packages: EngineeringEngineering (R0)

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