Adaptively Robust Unscented Kalman Filter for Tracking a Maneuvering Vehicle-Reference-Cited by-同舟云学术

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Adaptively Robust Unscented Kalman Filter for Tracking a Maneuvering Vehicle

Published:2014-09 Issue:5 Volume:37 Page:1696-1701
ISSN:0731-5090
Container-title:Journal of Guidance, Control, and Dynamics
language:en
Short-container-title:Journal of Guidance, Control, and Dynamics

Author:

Wang Yidi¹,Sun Shouming²,Li Li³

Affiliation:

1. College of Aerospace Science and Engineering, National University of Defense Technology, 410073 Changsha, People’s Republic of China

2. State Key Laboratory of Astronautic Dynamics, Xi’an Satellite Control Center, 710043 Xi’an, People’s Republic of China

3. Department of Navigation Engineering, Science and Technology on Aerospace Flight Dynamics Laboratory, 100094 Beijing, People’s Republic of China

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Space and Planetary Science,Aerospace Engineering,Control and Systems Engineering

Link

http://arc.aiaa.org/doi/pdf/10.2514/1.G000257

Reference17 articles.

1. Dawn: A mission in development for exploration of main belt asteroids Vesta and Ceres

2. Fuzzy-logic-based IMM algorithm for tracking a manoeuvring target

3. Modified input estimation technique for tracking manoeuvring targets

4. Measuring Robustness

5. Robust bayesian estimation for the linear model and robustifying the Kalman filter

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