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A Radar Electromagnetic Environment Sensing Method Based on Cyclic Spectral Algorithm

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Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 517))

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Abstract

In this paper, a radar electromagnetic environment sensing method based on the cyclic spectral algorithm is discussed, which can be used to acquire the spectrum information of radar signals and distinguish them. This paper uses the second-order cyclostationary detection algorithm based on the spectral correlation function (SCF) to obtain the cyclic spectral. The estimation of SCF is and the estimation precision by calculating deviation and variance of SCF are displayed. In the simulation, a scenario of radar electromagnetic environment is presented by transmitting Linear Frequency Modulation signals (LFM) and Amplitude Modulation signals (AM). Simulation results indicate that the cyclic spectral algorithm can not only sense the spectrum information of signals but also judge the type of signal. Therefore, the bandwidth of the interference information can be detected. The simulation results show that this method is highly preferred for radar electromagnetic environment sensing even under low signal-to-noise ratio (SNR) circumstance.

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Author information

Authors and Affiliations

  1. The School of Computer and Information, Hohai University, Nan Jing, China

    Jurong Hu, Yu Zhang, Xujie Li & Evans Baidoo

  2. University of Electronic Science and Technology of China, Cheng Du, China

    Xiaoyong Ni

Authors
  1. Jurong Hu
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  2. Yu Zhang
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  3. Xujie Li
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  4. Xiaoyong Ni
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  5. Evans Baidoo
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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. 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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© 2020 Springer Nature Singapore Pte Ltd.

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Cite this paper

Hu, J., Zhang, Y., Li, X., Ni, X., Baidoo, E. (2020). A Radar Electromagnetic Environment Sensing Method Based on Cyclic Spectral Algorithm. 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 517. Springer, Singapore. https://doi.org/10.1007/978-981-13-6508-9_92

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  • DOI: https://doi.org/10.1007/978-981-13-6508-9_92

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6507-2

  • Online ISBN: 978-981-13-6508-9

  • eBook Packages: EngineeringEngineering (R0)

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