Modeling of joint signal detection and parameter estimation on the background of non-Gaussian noise

• Autorzy: Palahin V. , Filipov V. , Leleko S. , Ivchenko O. , Palahina O.

Identyfikatory

DOI

10.17512/jamcm.2015.3.09

• Języki publikacji: EN

Abstrakty

EN

The paper presents the results and describes the process of modeling of a system of joint signal detection and parameter estimation on the background of a non-Gaussian noise based on moment and cumulant description of random variables, polynomials of Kunchenko and moment quality criterion type of Neyman-Pearson.

Słowa kluczowe

EN

non-Gaussian noise; moment and cumulant representation of random variables; truncated stochastic polynom; polynomial solving rules

• Wydawca: Wydawnictwo Politechniki Częstochowskiej
• Czasopismo: Journal of Applied Mathematics and Computational Mechanics
• Rocznik: 2015
• Tom: Vol. 14, nr 3
• Strony: 87--94
• Opis fizyczny: Bibliogr. 6 poz., rys.

Twórcy

autor

Palahin V.

• Cherkasy State Technological University Cherkasy, Ukraine

autor

Filipov V.

• Cherkasy State Technological University Cherkasy, Ukraine

autor

Leleko S.

• Cherkasy State Technological University Cherkasy, Ukraine

autor

Ivchenko O.

• Cherkasy State Technological University Cherkasy, Ukraine

autor

Palahina O.

• Cherkasy State Technological University Cherkasy, Ukraine

Bibliografia

• [1] Van Trees H.L., Detection, Estimation, and Modulation Theory, Van Trees H.L., Part IV, Optimum Array Processing, John Wiley, 2002, 1470 p.
• [2] Bezruk V., The theoretical bases of designing the systems of recognition of signals for the automated radio monitoring: the monograph, Bezruk V., Pevtsov G.Х., Collegium, 2007, 430 p.
• [3] Shelukhin О., The non-Gaussian processes, О. Shelukhin, I. Belyakov, Politechnica, St. Petersburg 1992, 312 p.
• [4] Malakhov А., The Cumulant Analysis of the Non-Gaussian Processes and Their Transformations, The Soviet Radio, М. 1979, 376 p.
• [5] Kunchenko Y.P., Polynomial Parameter Estimations of Close to Gaussian Random Variables, Shaker Verlag, Aachen 2002, 396 p.
• [6] Lega Y., The construction of the polynomial decision rules on the Neumann-Pearson instantaneous rate for the test of the statistic hypothesis, Electronics and Control Systems 2008, 4(18), 5-12.