Efficient extended cubature Kalman filtering for nonlinear target tracking-Reference-Cited by-同舟云学术

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Efficient extended cubature Kalman filtering for nonlinear target tracking

Published:2020-10-07 Issue:2 Volume:52 Page:392-406
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

He Renke¹,Chen Shuxin²,Wu Hao²,Zhang Fengzhe³,Chen Kun⁴

Affiliation:

1. Science and Technology on Complex Aviation Systems Simulation Laboratory, Beijing, People’s Republic of China

2. Information and Navigation College, Air Force Engineering University, Xi’an, People’s Republic of China

3. Beiing Institute of Astronautical Systems Engineering, Beijing, People’s Republic of China

4. Air Force Harbin Flight Academy, Harbin, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207721.2020.1829165

Reference16 articles.

1. Cubature Kalman Filtering for Continuous-Discrete Systems: Theory and Simulations

2. Basic tracking using nonlinear continuous-time dynamic models [Tutorial]

3. Cubature Kalman filters for continuous-time dynamic models Part I: Solutions discretizing the Langevin equation

4. Cubature Kalman filters for continuous-time dynamic models Part II: A solution based on moment matching

5. Stochastic Feedback Based Continuous-Discrete Cubature Kalman Filtering for Bearings-Only Tracking

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