Abstract
A two-level fuzzy model for filtering complex signals such as automatic dependent surveillance-broadcast is presented in the article. The first and second levels of the fuzzy model consist of three operations: fuzzification, fuzzy composition and defuzzification. Input variables of two levels are given by trapezoidal membership functions that are formed automatically, depending on the characteristics of the complex signal. The output function at the first level is given by a singleton function, and the defuzzification is carried out using a simplified center of gravity model. The proposed two-level fuzzy model makes it possible to increase the sensitivity of the ADS-B signal receiver and correctly detect the received signal.
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The work was prepared as part of the implementation of the RSF project No. 23-21-00071. The authors are grateful to the foundation for their support.
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Maxim, B., Alexander, A., Natalia, M. (2023). A Two-Level Fuzzy Model for Filtering Signals of the Automatic Dependent Surveillance-Broadcast. In: Bhattacharyya, S., Das, G., De, S., Mrsic, L. (eds) Recent Trends in Intelligence Enabled Research. DoSIER 2022. Advances in Intelligent Systems and Computing, vol 1446. Springer, Singapore. https://doi.org/10.1007/978-981-99-1472-2_5
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DOI: https://doi.org/10.1007/978-981-99-1472-2_5
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