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Review of ML Method, LVD and PCFCRD and Future Research for Noisy Multicomponent LFM Signals Analysis

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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

Noisy multicomponent linear frequency modulated (LFM) signals analysis plays an important role in radar signal processing and many analysis methods have been proposed. The maximum likelihood (ML) method, Lv’s distribution (LVD) and parameterized centroid frequency-chirp rate distribution (PCFCRD) represent three research directions for noisy multicomponent signals analysis. This paper aims to theoretically review and analyze these three methods. One numerical simulation is given to validate theoretical analyses and several discussions are given for realistic applications and future research.

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Author information

Authors and Affiliations

  1. National Laboratory of Radar Signal Processing, Xidian University, Xi’an, 710071, China

    Jibin Zheng, Kangle Zhu, Hongwei Liu & Yang Yang

  2. Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi’an, China

    Jibin Zheng, Kangle Zhu, Hongwei Liu & Yang Yang

Authors
  1. Jibin Zheng
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  2. Kangle Zhu
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  3. Hongwei Liu
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  4. Yang Yang
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Corresponding authors

Correspondence to Jibin Zheng , Kangle Zhu , Hongwei Liu or Yang Yang .

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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© 2020 Springer Nature Singapore Pte Ltd.

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Cite this paper

Zheng, J., Zhu, K., Liu, H., Yang, Y. (2020). Review of ML Method, LVD and PCFCRD and Future Research for Noisy Multicomponent LFM Signals Analysis. 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_210

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  • DOI: https://doi.org/10.1007/978-981-13-9409-6_210

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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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