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Marine Environment Information Collection Network Based on Double-Domain Compression Sensing

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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

This paper proposes a dual-domain compression sensing (DCS) data collection scheme. The scheme requires only through some nodes for data collection, and it uses the multi-user detection algorithm based on spatial sparse compressive sensing to perform node active state and data detection at the receiver, and then uses the sparsity of the frequency domain for information recovery, thereby further saving the control overhead of the sink node’s downstream sending address frame. Through the comparison of simulation experiments, it is found that the scheme proposed in this paper is better than the previous IDMA multiple access detection schemes in terms of bandwidth while guaranteeing the reconstruction performance of the marine environment monitoring network.

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Acknowledgments

This work is supported in part by National Natural Science Foundation of China (No. 61401118, and No. 61671184), Natural Science Foundation of Shandong Province (No. ZR2018PF001 and No. ZR2014FP016), the Fundamental Research Funds for the Central Universities (No. HIT.NSRIF.201720 and HIT.NSRIF.2016100) and the Scientific Research Foundation of Harbin Institute of Technology at Weihai (No. HIT(WH)201409 and No. HIT(WH)201410).

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Authors and Affiliations

  1. Harbin Institute of Technology (Weihai), Weihai, China

    Qiuming Zhao, Hongjuan Yang & Bo Li

Authors
  1. Qiuming Zhao
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  2. Hongjuan Yang
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  3. Bo Li
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Corresponding author

Correspondence to Bo Li .

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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Zhao, Q., Yang, H., Li, B. (2020). Marine Environment Information Collection Network Based on Double-Domain Compression Sensing. 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_76

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  • DOI: https://doi.org/10.1007/978-981-13-6504-1_76

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6503-4

  • Online ISBN: 978-981-13-6504-1

  • eBook Packages: EngineeringEngineering (R0)

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