THE MONTE-CARLO METHOD APPLYING FOR THE DEMOLTION ANGLE AND VELOCITY DOPPLER METER MISTAKE ESTIMATION
Keywords:
measurement error, the Doppler effect, speed and drift angle, Monte Carlo method, simulationAbstract
The article investigates the possibility of using the Monte Carlo method for estimation of measurement error for Doppler velocity and drift angle radars. The main values that impact of the measurement error are listed, the characteristics of their distribution laws are shown. Developed the sequence of model operation and implemented software that performs the simulation. The analysis of the results is given. The dependence between runtime of the simulation program based and the number of experiments is shown
Downloads
Download data is not yet available.
References
1. Давыдов П. С., Сосновский А. А., Хаймович И. А. Авиационная радиолокация: Справочник. — М.; Транспорт, 1984.
2. Cox, M. Evaluation of Measurement Uncertainty Based on the Propagation of Distributions Using Monte Carlo Simulation / M. Cox, P. Harris, B. R.-L. Siebert // Measurement Techniques, Vol. 46 Is. 9, 2013. - pp 824-833.
3. Novikov V.V. Numerical methods for uncertainty of measurements’ results calculation. // Конференція молодих учених із сучасних проблем механіки і математики імені академіка Я.С. Підстригача. Тези доповідей. – Львів, 2009. - С. 147-148.
4. Wubbeler G. Evaluation of measurement uncertainty and its numerical calculation by a Monte Carlo method/ G. Wubbeler, M. Krystek, C. Elster// Measurement Science and Technology, Vol. 19 Is. 8, 2008.
5. Angeles Herrador M. Evaluation of measurement uncertainty in analytical assays by means of Monte-Carlo simulation/ M. Angeles Herrador, A.Gustavo Gonzalez // Talanta, Vol. 64 Is. 2, 2004. - pp 415–422.
6. Радиотехнические системы: Учеб. для вузов по спец. «Радиотехника»/Ю. П. Гришин, В. П. Ипатов, Ю. М. Казаринов и др.; Под ред. Ю. М. Казаринова. — М.: Высш. шк., 1990. — 496 с.
2. Cox, M. Evaluation of Measurement Uncertainty Based on the Propagation of Distributions Using Monte Carlo Simulation / M. Cox, P. Harris, B. R.-L. Siebert // Measurement Techniques, Vol. 46 Is. 9, 2013. - pp 824-833.
3. Novikov V.V. Numerical methods for uncertainty of measurements’ results calculation. // Конференція молодих учених із сучасних проблем механіки і математики імені академіка Я.С. Підстригача. Тези доповідей. – Львів, 2009. - С. 147-148.
4. Wubbeler G. Evaluation of measurement uncertainty and its numerical calculation by a Monte Carlo method/ G. Wubbeler, M. Krystek, C. Elster// Measurement Science and Technology, Vol. 19 Is. 8, 2008.
5. Angeles Herrador M. Evaluation of measurement uncertainty in analytical assays by means of Monte-Carlo simulation/ M. Angeles Herrador, A.Gustavo Gonzalez // Talanta, Vol. 64 Is. 2, 2004. - pp 415–422.
6. Радиотехнические системы: Учеб. для вузов по спец. «Радиотехника»/Ю. П. Гришин, В. П. Ипатов, Ю. М. Казаринов и др.; Под ред. Ю. М. Казаринова. — М.: Высш. шк., 1990. — 496 с.
Downloads
Published
2016-06-18
How to Cite
Клочко, Н. Б., Слабінога, М. О., & Тутка, О. О. (2016). THE MONTE-CARLO METHOD APPLYING FOR THE DEMOLTION ANGLE AND VELOCITY DOPPLER METER MISTAKE ESTIMATION. METHODS AND DEVICES OF QUALITY CONTROL, (1(36), 81–85. Retrieved from https://mpky.nung.edu.ua/index.php/mpky/article/view/312
Issue
Section
METHODS AND DEVICES FOR THE TECHNOLOGICAL PARAMETERS CONNTROL
.png)
