RADAR-TRACKING OBJECTS SEQUENTIAL RECOGNITION ALGORITHM, PROVIDING MINIMIZATION AVERAGE RISK OF ACCEPTED DECISIONS
Abstract
For increase of reliability of radar-tracking objects classification it is offered to use sequential Bayesian recognition algorithm, providing minimisation risk of accepted decisions on an object class and about further supervision continuation. For the information sequential specification propose to use a posteriori probability of solving statistics of the classification previous step as a priori information for a following step. Calculation results of radar-tracking objects recognition characteristics for three simulated classes to sequential algorithm and one-step Bayesian classification algorithm are produced.
About the Authors
A. S. Khramiankou
Военная академия Республики Беларусь
Belarus
Belarus
S. N. Yarmolik
Военная академия Республики Беларусь
Belarus
Belarus
References
1. Охрименко А. Основы радиолокации и радиоэлектронная борьба. Ч.1. Основы радиолокации. М., 1983.
2. Ширман Я.Д. Радиолокационное распознавание. Харьков, 1994.
3. Tait P. Introduction to Radar Target Recognition. London, 2009.
4. Репин В.Г., Тартаковский Г.П. Статистический синтез в условиях априорной неопределенности и адаптация информационных систем. М., 1977.
5. Шишов Ю.А. Многоканальная радиолокация с временным разделением каналов. М., 1987.
6. Сосулин Ю.Г., Фишман М.М. Теория последовательных решений и ее применения. М., 1985.
7. Солонар А.С., Ярмолик С.Н., Храменков А.С. и др. // Докл. БГУИР. 2014. № 6 (84). С. 60-66.
Review
For citations:
Khramiankou A.S., Yarmolik S.N. RADAR-TRACKING OBJECTS SEQUENTIAL RECOGNITION ALGORITHM, PROVIDING MINIMIZATION AVERAGE RISK OF ACCEPTED DECISIONS. Doklady BGUIR. 2016;(2):37-43. (In Russ.)
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