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International Conference in Communications, Signal Processing, and Systems

CSPS 2017: Communications, Signal Processing, and Systems pp 1175–1182Cite as

Compressive Sensing in UWB Echoes

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

Abstract

Ultra-wide band (UWB) signals have very wide bandwidths. On the basis of Nyquist sampling theory, it is too difficult for A/D converters to sample such signals. This issue confused people for a long time until compressive sensing (CS) was proposed. CS in UWB was brought into focus once it appeared because CS can get useful information with abandoning a lot of redundant data and UWB signals are easily sparse. Hence it is usually used in UWB to deal with sampling problems. This paper mainly describes the principles of CS and its mathematical theory, and then compares the different transform matrices, measurement matrices and reconstruction algorithms based on UWB echoes. Finally, find a best method to recovery UWB echoes with Gaussian white noise.

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References

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (61671138), the Fundamental Research Funds for the Central Universities Project No. ZYGX2015J021, and the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry.

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Authors and Affiliations

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

    Jie Ren, Jing Liang & Jian Zhang

Authors
  1. Jie Ren
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  2. Jing Liang
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  3. Jian Zhang
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Corresponding author

Correspondence to Jie Ren .

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Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, Texas, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  3. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Min Jia

  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

    Xuhong Feng

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2019 Springer Nature Singapore Pte Ltd.

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Ren, J., Liang, J., Zhang, J. (2019). Compressive Sensing in UWB Echoes. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_140

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_140

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

  • eBook Packages: EngineeringEngineering (R0)

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