Abstract
Two model-free algorithms for soil moisture retrieval based on singleton type-1 fuzzy logic system (T1FLS) and non-singleton T1FLS are investigated in this paper. We reformulate the traditional soil volumetric water content (VWC) retrieval problem into a signal recognition issue of ultra wide band (UWB) echoes. We forecast UWB echoes of different VWCs employing both singleton T1FLS and non-singleton T1FLS. Their convergences are measured via root mean square error (RMSE). After that, the forecasting signals in T1FLS are retained as the templates. The testing UWB echoes with an unknown VWC are compared with 5 templates of different VWCs, and classified into one of the VWCs with the minimal RMSE. Monte Carlo simulations not only show that the correct VWC recognition rates are robust at different SNRs, but also indicate that the non-singleton T1FLS is superior to singleton T1FLS in performances of both convergence and VWC recognition rates.
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Acknowledgements
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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Liu, X., Yu, X., Liang, J. (2018). Soil Moisture Retrieval via Non-singleton Fuzzy Logic with UWB Echoes. In: Liang, Q., Mu, J., Wang, W., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2016. Lecture Notes in Electrical Engineering, vol 423. Springer, Singapore. https://doi.org/10.1007/978-981-10-3229-5_24
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DOI: https://doi.org/10.1007/978-981-10-3229-5_24
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