Open AccessCognitive radar control system using machine learning
Author(s) -
A A Nepryaev
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1047/1/012119
Subject(s) - radar , computer science , percept , cognition , artificial intelligence , artificial neural network , task (project management) , control (management) , radar systems , cognitive systems , machine learning , engineering , telecommunications , perception , psychology , systems engineering , neuroscience
Cognitive radars are systems based on the percept-action cycle of cognition that sense the environment, extract relevant target and background information from it, and then adapt the radar sensor to optimally meet the needs of its mission according to the desired target. The aim of the study is to determine the options for using the cognitive approach to improve the performance of the radar system. The study results show the criteria by which a radar should be defined as cognitive. In addition, our task was to propose machine learning methods based on artificial neural networks for the problem of radar resource allocation.