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Research Progress of Inverse Synthetic Aperture Radar (ISAR) Imaging of Moving Target via Quadratic Frequency Modulation (QFM) Signal Model

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Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 516))

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Abstract

ISAR imaging of dynamic target is very significant in real applications. Plenty of available outcomes have been acquired by the scholars in the near years. Considering the accuracy and the computational complexity, the radar echo can be described as multicomponent QFM signal after envelope alignment with initial phase calibration. Many parametric algorithms in this case have been developed recently. This paper provides a comprehensive summarization of the ISAR imaging approach with QFM signal model in recent years, with the aim to introduce the research progress of it to the researchers and interested readers.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China under grant 61622107 and 61471149.

Author information

Authors and Affiliations

  1. Research Institute of Electronic Engineering Technology, Harbin Institute of Technology, Harbin, 150001, China

    Yong Wang & Qingxiang Zhang

  2. Department of Communication Engineering, Weihai Campus of Harbin Institute of Technology, Shandong, 264209, China

    Aijun Liu

Authors
  1. Yong Wang
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  2. Aijun Liu
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  3. Qingxiang Zhang
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Corresponding author

Correspondence to Yong Wang .

Editor information

Editors and Affiliations

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

    Qilian Liang

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

    Xin Liu

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

    Zhenyu Na

  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

    Jiasong Mu

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

    Baoju Zhang

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Wang, Y., Liu, A., Zhang, Q. (2020). Research Progress of Inverse Synthetic Aperture Radar (ISAR) Imaging of Moving Target via Quadratic Frequency Modulation (QFM) Signal Model. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_94

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  • DOI: https://doi.org/10.1007/978-981-13-6504-1_94

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6503-4

  • Online ISBN: 978-981-13-6504-1

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