A Multisource PNT Fusion Algorithm Based on a Variance Genetic Model

As one of the long-term challenges faced by the International Maritime Organization (IMO), the global navigation satellite system (GNSS) has become increasingly complicated with the rapid development of intelligent ships and autonomous navigation ships. GNSS vulnerability is an important factor affe...

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Vydané v:International journal of control, automation, and systems Ročník 20; číslo 4; s. 1294 - 1304
Hlavní autori: Hu, Qing, Jia, Jing, Zhu, Yue, Cao, Jingyun, Li, Jinyuan
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Bucheon / Seoul Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers 01.04.2022
Springer Nature B.V
제어·로봇·시스템학회
Predmet:
Algorithms
Autonomous navigation
Control
Data integration
Engineering
Global navigation satellite system
Mechatronics
Navigation safety
Regular Papers
Robotics
Ships
제어계측공학
multisource data fusion algorithm
GNSS vulnerability
variance genetic model
PNT
ISSN:1598-6446, 2005-4092
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Shrnutí:As one of the long-term challenges faced by the International Maritime Organization (IMO), the global navigation satellite system (GNSS) has become increasingly complicated with the rapid development of intelligent ships and autonomous navigation ships. GNSS vulnerability is an important factor affecting navigation safety. Therefore, we propose a multisource position, navigation and time (PNT) data fusion algorithm based on the study of multisource shipborne PNT system model. This algorithm uses the variance genetic model to estimate the measurement variance of a PNT source at the subsequent time step to obtain an estimated value that is close to the real value, thus producing an optimal fusion factor for each PNT source and obtaining highly reliable and high-precision PNT fusion data. The simulation and measurement results show that the multisource PNT fusion algorithm based on the variance genetic model can provide superior reliability and precision when the PNT source is disturbed by abnormal interference.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
http://link.springer.com/article/10.1007/s12555-020-0758-1
ISSN:1598-6446
2005-4092
DOI:10.1007/s12555-020-0758-1