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An Improved Cyclic Spectral Algorithm Based on Compressed Sensing

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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

With the increase of types and functions of electronic equipment, the electro-magnetic environment of radar is becoming more and more complex, so it is very difficult to estimate the spectrum of electromagnetic environment. Since it does not need prior information of signal, cyclic spectral algorithm is very suitable for analyzing electromagnetic environment. The algorithm has strong anti-noise performance but high computational complexity in spectrum estimating of electromagnetic environment. This paper combines compressed sensing with the spectral correlation function to solve this problem for spectrum estimation. The simulation results show that the proposed algorithm can reduce the computational complexity of spectrum estimation while ensuring the estimation accuracy of radar electromagnetic environment.

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Author information

Authors and Affiliations

  1. College of Computer and Information, Hohai University, Nanjing, China

    Jurong Hu, Ying Tian, Yu Zhang & Xujie Li

Authors
  1. Jurong Hu
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  2. Ying Tian
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  3. Yu Zhang
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  4. Xujie Li
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Corresponding author

Correspondence to Jurong Hu .

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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Hu, J., Tian, Y., Zhang, Y., Li, X. (2020). An Improved Cyclic Spectral Algorithm Based on Compressed Sensing. 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_196

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  • DOI: https://doi.org/10.1007/978-981-13-9409-6_196

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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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