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Soil Moisture Retrieval Using UWB Echoes via ANFIS and ANN

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Communications, Signal Processing, and Systems (CSPS 2017)

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

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Abstract

This paper introduces a new soil moisture (SM) retrieval approach based on ultra-wideband (UWB) echoes. The approach employs two fuzzy logic systems (FLSs) -adaptive network-based fuzzy inference system (ANFIS) and type 1 fuzzy logic system (T1FLS) respectively, to extract features in soil echoes. Artificial neural network (ANN) is applied to classify with different volume water contents (VWCs). 9 types of UWB soil echoes of different texture and VWC are collected and investigated using our approach. Final analysis shows ANFIS with ANN provides a better VWC correct recognition rate (CRR) than T1FLS with ANN at high SNRs.

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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. University of Electronic Science and Technology of China, No. 2006, Xiyuan Avenue, Chengdu, 611731, China

    Xiaoxu Liu, Xiaofeng Yu, Jie Ren & Jing Liang

Authors
  1. Xiaoxu Liu
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  2. Xiaofeng Yu
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  3. Jie Ren
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  4. Jing Liang
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Corresponding author

Correspondence to Xiaoxu Liu .

Editor information

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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Liu, X., Yu, X., Ren, J., Liang, J. (2019). Soil Moisture Retrieval Using UWB Echoes via ANFIS and ANN. 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_151

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_151

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

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