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Direction of Arrival Estimation Based on Support Vector Regression

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Communications, Signal Processing, and Systems (CSPS 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 571))

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Abstract

In order to improve the direction finding accuracy under low signal to noise ratio this paper presents a method for estimating the direction of multiple signals by using support vector machine. The signal subspace of the known direction signal is extracted as the input of the model. The fitting ability of the support vector regression to the nonlinear function is used to build the model, and finally estimate the directions of arrival. The method proposed in this paper does not need to perform peak search, which can improve the direction finding accuracy and direction finding speed.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China under Grant 61501176, Natural Science Foundation of Heilongjiang Province F2018025, University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province UNPYSCT-2016017, and the postdoctoral scientific research developmental fund of Heilongjiang Province in 2017 LBH-Q17149.

Author information

Authors and Affiliations

  1. College of Electronic Engineering, Heilongjiang University, Harbin, 150080, China

    Baoyu Guo, Jiaqi Zhen & Xiaoli Zhang

Authors
  1. Baoyu Guo
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  2. Jiaqi Zhen
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  3. Xiaoli Zhang
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Corresponding author

Correspondence to Jiaqi Zhen .

Editor information

Editors and Affiliations

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

    Qilian Liang

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

    Wei Wang

  3. School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China

    Xin Liu

  4. School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China

    Zhenyu Na

  5. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

    Min Jia

  6. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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Guo, B., Zhen, J., Zhang, X. (2020). Direction of Arrival Estimation Based on Support Vector Regression. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_137

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  • DOI: https://doi.org/10.1007/978-981-13-9409-6_137

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9408-9

  • Online ISBN: 978-981-13-9409-6

  • eBook Packages: EngineeringEngineering (R0)

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