Evaluating the signal detection effectiveness based on the Eulerian characteristics of the test statistic

А.П. Трифонов; Е.В. Литвинов; Ю.Э. Корчагин

Evaluating the signal detection effectiveness based on the Eulerian characteristics of the test statistic

А.П. Трифонов¹, Е.В. Литвинов², Ю.Э. Корчагин³

research article UDC 621.321 Pages: 88-94

¹ Засл. деятель науки РФ, д.т.н., профессор, зав. кафедрой радиофизики, Воронежский государственный университет
² к.ф.-м.н., ассистент, кафедра радиофизики, Воронежский государственный университет
³ д.ф.-м.н., профессор, кафедра радиофизики, Воронежский государственный университет

Keywords: detection probability of false alarm probability of missing a signal Euler characteristics time of arrival duration

Abstract

Expressions for detection characteristics of symmetrical general form signal are founded when arrival time, duration and amplitude of the signal are unknown and there are side effects on the boundary of a priori area. The influence of boundary effects of a priori area on the precision of characteristics are investigated by means of statistical computer modeling of bell-like signal detection algorithm.

How to cite

Трифонов А.П., Литвинов Е.В., Корчагин Ю.Э. Расчет эффективности обнаружения сигнала на основе эйлеровых характеристик решающей статистики // Радиотехника. 2017. № 10. С. 88–94.

References

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Trifonov A.P., Korchagin Yu.E'., Litvinov E.V. Obnaruzhenie uzkopolosnogo radiosignala s neizvestny'mi prostranstvenno-vremenny'mi parametrami // Radiotexnika. 2016. № 6. S. 89−98.
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Adler R.J. The Geometry of Random Fields. Wiley. New York. 1981.
Worsley K.J. Testing for signals with unknown location and scale in a χ2 random field, with an application to fMRI // Advances in Applied Probability. 2001. 33. P. 773−793.
Hasofer A.M. Upcrossings of Random Fields // Supplement to Advances in Applied Probability. 1978. 10. P. 14−21.
By'kov V.V. Czifrovoe modelirovanie v statisticheskoj radiotexnike. M.: Sov. radio. 1971. 326 s.

[1] Trifonov A.P., Litvinov E.V. E'ffektivnost' obnaruzheniya radiosignala s neizvestny'mi parametrami // Radiotexnika. 2016. № 2. S. 57−65.

[2] Trifonov A.P., Korchagin Yu.E'., Litvinov E.V. Obnaruzhenie uzkopolosnogo radiosignala s neizvestny'mi prostranstvenno-vremenny'mi parametrami // Radiotexnika. 2016. № 6. S. 89−98.

[3] Pronyaev E.V. Analiz porogovy'x e'ffektov pri obrabotke signala v usloviyax parametricheskoj apriornoj neopredelennosti //Fizika volnovy'x proczessov i radiotexnicheskie sistemy'. 2003. T. 6. № 2. S. 72−79.

[4] Trifonov A.P., Shinakov Yu.S. Sovmestnoe razlichenie signalov i oczenka ix parametrov na fone pomex. M.: Radio i svyaz'. 1986. 264 s.

[5] Akimov P.S., Bakut P.A., Bogdanovich V.A. i dr. Teoriya obnaruzheniya signalov / Pod red. P.A. Bakuta. M.: Radio i svyaz'. 1984. 440 s.

[6] Kulikov E.I., Trifonov A.P. Oczenka parametrov signalov na fone pomex. M.: Sov. radio. 1978. 296 s.

[7] Adler R.J. The Geometry of Random Fields. Wiley. New York. 1981.

[8] Worsley K.J. Testing for signals with unknown location and scale in a χ2 random field, with an application to fMRI // Advances in Applied Probability. 2001. 33. P. 773−793.

[9] Hasofer A.M. Upcrossings of Random Fields // Supplement to Advances in Applied Probability. 1978. 10. P. 14−21.

[10] By'kov V.V. Czifrovoe modelirovanie v statisticheskoj radiotexnike. M.: Sov. radio. 1971. 326 s.

Abstract

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