Aircraft trajectory filtering method based on Gaussian‐sum and maximum correntropy square‐root cubature Kalman filter-Reference-Cited by-同舟云学术

Aircraft trajectory filtering method based on Gaussian‐sum and maximum correntropy square‐root cubature Kalman filter

Published:2022-03-07 Issue:3 Volume:4 Page:205-217
ISSN:2517-7567
Container-title:Cognitive Computation and Systems
language:en
Short-container-title:Cognitive Comp and Systems

Author:

Bai Jing G.¹^ORCID,Ge Quan B.²³,Li Hong⁴,Xiao Jian M.¹,Wang Yuan L.¹³^ORCID

Affiliation:

1. Logistics Engineering College Shanghai Maritime University Shanghai China

2. School of Automation Nanjing University of Information Science and Technology Nanjing China

3. Qiandao Lake Institute of Science of Chun'an Hangzhou China

4. Chinese Flight Test Establishment Xi'an China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition,Experimental and Cognitive Psychology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ccs2.12049

Reference29 articles.

1. Four-dimensional descent trajectory optimization for aircraft in turbulence

2. Analysis and Simulation of Route Trajectory Option for Aircraft-Type Drones

3. Real-time road traffic state prediction based on ARIMA and Kalman filter

4. Multi-UAV cooperative target tracking with bounded noise for connectivity preservation

5. Filtering and tracking with trinion-valued adaptive algorithms

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