CONJUGATE UNSCENTED TRANSFORM BASED JOINT PROBABILITY DATA ASSOCIATION Conference Paper

abstract

• 2018 Univelt Inc. All rights reserved. The conventional Joint Probabilistic Data Association (JPDA) filtering approach is extended using quadrature based methods to achieve better accuracy and stability. Recently developed conjugate unscented transformation is used in conjunction with the probabilistic data association approach to estimate the association probabilities, while carrying out the state estimation filters for the target candidates of interest. Numerical examples are used to evaluate the utility of the proposed algorithms with Extended Kalman Filter (EKF) based approaches for target association.

authors

• Majji, Manoranjan

published proceedings

• ASTRODYNAMICS 2017, PTS I-IV

author list (cited authors)

• Adurthi, N., Majji, M., Mishra, U. R., & Single, P.

complete list of authors

• Adurthi, Nagavenkat||Majji, Manoranjan||Mishra, Utkarsh Ranjan||Single, Puneet

publication date

• January 2018

published in

• Spaceflight Mechanics 2005, Vol 120, Pts 1 and 2  Journal

International Standard Book Number (ISBN) 13

• 978-0-87703-645-6

start page

• 537

end page

• 552

volume

• 162