Smoothing joint integrated probabilistic data association
Authors:
Open Access
- 1 January 2015
- journal article
- research article
- Published by Institution of Engineering and Technology (IET) in IET Radar, Sonar & Navigation
- Vol. 9 (1) , 62-66
Abstract
The authors extend the smoothing integrated probabilistic data association algorithm to multi‐target tracking in clutter, or alternatively, use smoothing to improve the joint integrated probabilistic data association (JIPDA) algorithm. The predictions of forward and backward JIPDA are fused to form the smoothing prediction, which is used for smoothing multi‐target data association.Keywords
This publication has 14 references indexed in Scilit:
- Smoothing innovations and data association with IPDAAutomatica, 2012
- Multiscan Multitarget Tracking in Clutter with Integrated Track Splitting FilterIEEE Transactions on Aerospace and Electronic Systems, 2009
- Multi-target tracking in clutter without measurement assignmentIEEE Transactions on Aerospace and Electronic Systems, 2008
- Joint integrated probabilistic data association: JIPDAIEEE Transactions on Aerospace and Electronic Systems, 2004
- Estimation with Applications to Tracking and Navigation2002
- Sonar tracking of multiple targets using joint probabilistic data associationIEEE Journal of Oceanic Engineering, 1983
- An algorithm for tracking multiple targetsIEEE Transactions on Automatic Control, 1979
- Tracking in a cluttered environment with probabilistic data associationAutomatica, 1975
- Preface1970
- The optimum linear smoother as a combination of two optimum linear filtersIEEE Transactions on Automatic Control, 1969