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Probability distribution functions of the sum of squares of random variables in the non-zero mathematical expectations
Yuri L. Fateeva, Vladimir V. Shaidurovb, Evgeny N. Garina, Dmitry D. Dmitrieva, Valeriy N. Tyapkina a Military Engineering Institute, Siberian Federal University, Svobodny, 79, Krasnoyarsk, 660041, Russia
b Institute of Computational Modelling, Siberian Branch of the Russian Academy of Sciences, Akademgorodok, 50/44, Krasnoyarsk, 660036,
Russia
Abstract:
The article concluded probability distribution functions sum of the squares of the random variables in the non-zero expectations. The resulting distribution function is possible to create an efficient single-step phase ambiguity resolution algorithm in determining the spatial orientation of the signals of satellite radio navigation systems. Obtained thresholds at rejecting false solutions, as well as statistical data of the algorithm.
Keywords:
probability distribution functions, normal distribution, variance, standard deviation square.
Received: 20.11.2015 Received in revised form: 25.01.2016 Accepted: 20.02.2016
Citation:
Yuri L. Fateev, Vladimir V. Shaidurov, Evgeny N. Garin, Dmitry D. Dmitriev, Valeriy N. Tyapkin, “Probability distribution functions of the sum of squares of random variables in the non-zero mathematical expectations”, J. Sib. Fed. Univ. Math. Phys., 9:2 (2016), 173–179
Linking options:
https://www.mathnet.ru/eng/jsfu474 https://www.mathnet.ru/eng/jsfu/v9/i2/p173
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Abstract page: | 238 | Full-text PDF : | 68 | References: | 44 |
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