Open AccessDynamic heartbeat detection algorithm based on RBFNN
Author(s) -
Cui Xiaoqing,
Ma Zhifeng
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0050
Subject(s) - heartbeat , timeout , computer science , real time computing , node (physics) , algorithm , radar , artificial neural network , artificial intelligence , computer network , engineering , telecommunications , structural engineering
The operational environment faced by modern radars is becoming increasingly complex. The timely detection of the failure of a node and the adoption of countermeasures to ensure the stable operation of the system have become the focus of radar network management. In this study, based on traditional heartbeat detection algorithm, we use a radial‐basis neural network model to predict the timeout value. Therefore, a neural network heartbeat detection algorithm is proposed, which is used to detect the failure of the combat platform. The experimental results show that the proposed algorithm can be used to reduce the failure detection delay and misjudge rate as compared with the existing algorithms, and can be applied to a complex radar network environment.