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Two Dimensional Joint ISAR Imaging Algorithm Based on Matrix Completion

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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

For joint Inverse Synthetic Aperture Radar (ISAR) imaging, the traditional methods all process the radar data matrix through vectored manipulations, which adds burden to the calculation and storage procession. In this paper, a novel algorithm of two-dimension (2D) joint ISAR imaging is addressed based on matrix completion (MC) theory. The ISAR observation signal model is established, and the echoed signal matrix is undersampled. After demonstration of the low-rank property of data matrix, 2D joint ISAR imaging is mathematically converted into the kernel norm optimization. The joint ISAR imaging can be achieved with the inexact augmented Lagrange multiplier (IALM) algorithm. Simulated data experiments verify the effectiveness of the proposed algorithm.

This research is funded by the National Natural Science Foundation of China under Grant 61801516, 61571457, 61701530, Postdoctoral Science Foundation of China under Grant 2017M623421, Principal Foundation of AFEU China under Grant XZJK2018020 and the Natural Science Basic Research Program of Shaanxi Province under Grant 2019JQ-238 and 2018JM6072.

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Author information

Authors and Affiliations

  1. Institute of Information and Navigation, Air Force Engineering University, Xi’an, 710077, China

    Jian-fei Ren, Le Kang & Ying Luo

  2. Jiuquan Satellite Launch Center, Jiuquan, 732750, China

    Xiao-fei Lu

  3. College of Information Engineering, Engineering University of PAP, Xi’an, 710086, China

    Yijun Chen

  4. Collaborative Innovation Center of Information Sensing and Understanding, Xi’an, 710077, China

    Ying Luo

Authors
  1. Jian-fei Ren
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  2. Le Kang
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  3. Xiao-fei Lu
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  4. Yijun Chen
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  5. Ying Luo
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Corresponding author

Correspondence to Jian-fei Ren .

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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Cite this paper

Ren, Jf., Kang, L., Lu, Xf., Chen, Y., Luo, Y. (2020). Two Dimensional Joint ISAR Imaging Algorithm Based on Matrix Completion. 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_124

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  • DOI: https://doi.org/10.1007/978-981-13-9409-6_124

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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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