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Application of an Improved MUSIC Algorithm in Ship-Borne High Frequency Surface Wave Radar

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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

Sea clutter seriously affects the radar detection performance of the sea targets. For SBHFSWR (ship-borne high frequency surface wave radar), the widening first-order sea clutter because of the carrier’s movement obscures the ship targets and causes the difficulty in target detection. One potential method to distinguish the interested sea targets from the sea clutter background is to use spatial super resolution methods since the interested targets and interfering sea clutter usually have different arrival azimuth angles. In this paper, an improved MUSIC algorithm based on the oblique projection is presented. The algorithm not only uses the oblique projection operator to suppress the first-order sea clutter, but also makes full use of all the characteristic information of the noise subspace and the signal subspace to improve the estimation precision. The simulation results verify the effectiveness of the proposed algorithm.

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Authors and Affiliations

  1. Institute of Electronic Engineering Technology, Harbin Institute of Technology, Harbin, China

    Gaopeng Li, Siwen Wang & Kun Jiang

Authors
  1. Gaopeng Li
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  2. Siwen Wang
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  3. Kun Jiang
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Corresponding author

Correspondence to Gaopeng Li .

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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Li, G., Wang, S., Jiang, K. (2019). Application of an Improved MUSIC Algorithm in Ship-Borne High Frequency Surface Wave Radar. 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_253

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_253

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

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