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International Conference in Communications, Signal Processing, and Systems

CSPS 2018: Communications, Signal Processing, and Systems pp 770–777Cite as

Compressed Sensing in Soil Ultra-Wideband Signals

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

Abstract

This paper investigated the compressed sensing (CS) of ultra-wideband (UWB) soil echo signals. When CS is used in the transmission of UWB signals, sampling rate can be effectively reduced and sparse signals can be reconstructed from fewer observations. Therefore, how to apply CS into UWB soil echo signals is of great importance. The proposed approach reveals that UWB signals can be expressed by linear combinations of many atoms from a proper dictionary. In this paper, K-singular value decomposition (KSVD) dictionary and three types of Gaussian pulse dictionaries are designed, and the probability of successful reconstruction can reach 0.95. It is shown that Gaussian first-order derivative dictionary is the most suitable; the root-mean-square error (RMSE) of UWB signals and reconstructing signals is lower than 0.12.

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References

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (61671138, 61731006) and was partly supported by the 111 Project No. B17008.

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Authors and Affiliations

  1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

    Chenkai Zhao & Jing Liang

Authors
  1. Chenkai Zhao
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  2. Jing Liang
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Corresponding author

Correspondence to Chenkai Zhao .

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

Zhao, C., Liang, J. (2020). Compressed Sensing in Soil Ultra-Wideband Signals. 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_93

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  • DOI: https://doi.org/10.1007/978-981-13-6504-1_93

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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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