RADAR-TRACKING OBJECTS SEQUENTIAL RECOGNITION ALGORITHM, PROVIDING MINIMIZATION AVERAGE RISK OF ACCEPTED DECISIONS

Autor:	A. S. Khramiankou, S. N. Yarmolik
Jazyk:	ruština
Rok vydání:	2019
Předmět:	sequential bayesian recognition algorithm minimisation risk information sequential specification Electronics TK7800-8360
Zdroj:	Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 2, Pp 37-43 (2019)
Druh dokumentu:	article
ISSN:	1729-7648 02265737
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/778c669f9b5040f0bd0eae022657371e Zobrazit plný text záznamu View record in DOAJ