Open AccessThe Method for Identification of Radars Measurements of Nearby Objects Tracking
Author(s) -
Hennadii Khudov,
AUTHOR_ID,
Ігор Рубан,
Hennadii Pievtsov,
Oleksandr Makoveichuk,
Oleh Popkov,
Danylo Shabanov,
Yurii Baranov,
Yuriy Solomonenko,
Vitalii Kryvosheiev,
Rostyslav Khudov
Publication year - 2021
Publication title -
international journal emerging technology and advanced engineering
Language(s) - English
Resource type - Journals
ISSN - 2250-2459
DOI - 10.46338/ijetae1221_12
Subject(s) - identification (biology) , computer science , tracking (education) , radar , object (grammar) , optimization problem , parameter identification problem , artificial intelligence , radar tracker , contrast (vision) , bayes' theorem , computer vision , data mining , algorithm , bayesian probability , psychology , telecommunications , pedagogy , model parameter , botany , biology
— The paper proposes the method for identification of radars measurements of nearby objects tracking. The method for identification of radars measurements of nearby objects tracking, in contrast to the known ones, assumes the next. Solving the optimization problem of searching for a hypothesis of joint identification of objects and measurements. The solution is optimal according to Bayes' criterion. The solution of the optimization problem of joint identification of objects and measurements is reduced to the assignment problem with the subsequent choice of a hypothesis. The choice of hypothesis is presented in the form of an identification matrix. The presence of background objects in the viewing area is taken into account. The procedure for enumerating hypotheses is rather cumbersome even with a small number of objects (10-12 objects). Therefore, the subject of further research is to find ways to reduce the computational costs of solving the optimization problem. Keywords— method, identification, radar, measurement, nearby object, tracking, hypothesis