Digital algorithm for determining the root-mean-square signal O. V. Chernoyarov, V. P. Litvinenko, B. V. Matveev [et al.]
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ArticleContent type: Текст Media type: электронный Subject(s): переменные сигналы | среднеквадратичное значение | алгоритм измерения | быстрая цифровая обработка | симуляцияGenre/Form: статьи в сборниках Online resources: Click here to access online
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32nd European modeling and simulation symposium (EMSS 2020) : held at the 17th International multidisciplinary modeling and simulation multiconference (I3M 2020), online 16-18 September 2020 P. 22-27Abstract: The need to determine the root-mean-square values of alternating signals often arises during the circuit simulation of electronic devices. In this paper, there is introduced a digital algorithm for the direct estimation (measurement) of the root-mean-square value of deterministic and random signals of arbitrary shape for the current signal sampling over the set time interval. It requires the minimum number of simple arithmetic operations while generating the result and ensures a high degree of estimation accuracy. Simulation is then carried out demonstrating the high efficiency of the proposed algorithm. There are analyzed the characteristics of the resulting estimate within a wide frequency range of the measured signals. It is shown that the algorithm can be software-implemented and then it will be a part of an application package, and it also can be hardware-implemented and then one uses the microprocessor system or the field programmable gate arrays.
Библиогр.: с. 27
The need to determine the root-mean-square values of alternating signals often arises during the circuit simulation of electronic devices. In this paper, there is introduced a digital algorithm for the direct estimation (measurement) of the root-mean-square value of deterministic and random signals of arbitrary shape for the current signal sampling over the set time interval. It requires the minimum number of simple arithmetic operations while generating the result and ensures a high degree of estimation accuracy. Simulation is then carried out demonstrating the high efficiency of the proposed algorithm. There are analyzed the characteristics of the resulting estimate within a wide frequency range of the measured signals. It is shown that the algorithm can be software-implemented and then it will be a part of an application package, and it also can be hardware-implemented and then one uses the microprocessor system or the field programmable gate arrays.
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